CN100585591C - Interacting viewing system and method - Google Patents
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- CN100585591C CN100585591C CN200510084607A CN200510084607A CN100585591C CN 100585591 C CN100585591 C CN 100585591C CN 200510084607 A CN200510084607 A CN 200510084607A CN 200510084607 A CN200510084607 A CN 200510084607A CN 100585591 C CN100585591 C CN 100585591C
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Abstract
A system of realizing interactive browsing comprises term obtaining unit for obtaining term interesting user, the first picking up unit for picking up information related to term interesting user from knowledge library, the second picking up unit for picking up file containing term interesting user from file databank, the first display unit of user boundary for displaying information picked up by the first picking up unit and the second display unit of user boundary for displaying file-listing picked up by the second picking up unit.
Description
Technical field
The present invention relates to infotech, more particularly, the present invention relates to the system and method for interactive browse information.
Background technology
Along with increasing electronic document is deposited in the computing machine, how to manage a large amount of like this documents and effectively acquired information become a major issue.
At present, mainly contain the approach of three kinds of acquired informations.The first, taxonomy method (taxonomy).The taxonomy method normally is organized into an architecture according to the content of document with large volume document.The user can the click classifications catalogue and is searched Useful Information.But the user does not always only wish browsing document, but also wish to obtain the information of the term that occurs in the relevant document, and for example, the user wonders the information of someone, company or the product mentioned in the relevant document.At this moment, traditional information browsing system based on the taxonomy method just can not directly provide such information.
Second kind of approach of user's acquired information is knowledge base.Knowledge base is the ensemble of communication of a static state, and the user can obtain about the specifically explanation and the explanation of term by it.But since the content in the knowledge base relatively stable usually, upgrade slowlyer, thereby be difficult to be associated with the content that upgrades in time in the large volume document.
The third approach of user's acquired information is keyword search, in this way, the user can obtain to contain all documents of certain key word, but because search is not normally having to carry out under the situation of context of co-text, therefore there is certain indeterminate property, comprise many incoherent documents in the Search Results thereby make, for the information that the user obtains to want is brought obstacle.
This shows, the demand of some aspects when the approach of above-mentioned three kinds of acquired informations can only satisfy user's acquired information respectively (can only check entire document, or can only check the term that certain is concrete), and can not satisfy the demand of each side simultaneously.Therefore, need a kind of user of making in browsing document, in same user interface, easily to check the mode of the information of particular term in the relevant document.
Summary of the invention
Consider the problems referred to above, the present invention proposes a kind of interactive browse document sets and the method and system of the term that wherein occurs, it makes the user obtain relevant information from collection of document and knowledge base simultaneously in same user interface.
According to an aspect of the present invention, a kind of system that is used to realize interactive browse is provided, and described system links to each other with document database with knowledge base, and described knowledge base stores a plurality of terms and the information relevant with each term, described document database stores a plurality of documents, and described system comprises:
Term obtains device, is used to obtain the user's interest term;
First extraction element is used for extracting and the relevant information of described user's interest term from knowledge base,
Second extraction element is used for extracting the document that comprises described user's interest term from document database;
First display part of user interface is used to the information that shows that first extraction element extracts;
Second display part of user interface is used to show the tabulation of each document that second extraction element extracts.
According to another aspect of the present invention, also provide a kind of method that is used to realize interactive browse, described method comprises:
Obtain the user's interest term;
Extract and the relevant information of described user's interest term from knowledge base, in first display part that is presented at the interface, described knowledge base stores a plurality of terms and the information relevant with each term;
Extract each document comprise described user's interest term from document database, be presented in second display part of user interface with the tabulation of each document that will extract, described document database stores a plurality of documents.
The system and method for the application of the invention, the user can be in single interface browsing document and knowledge base simultaneously.
Wherein, the preferably attribute and/or the relation of described term of the described information relevant with term.
In addition, described term and relevant information preferably are presented in first display part of user interface with the form of term figure, so that can represent the information of term and attribute and relation intuitively to the user.
System and a method according to the invention makes user browsing document and relational language simultaneously, thereby has improved degree of freedom and the dirigibility of user when visit information.
Description of drawings
Fig. 1 has shown the synoptic diagram of the user interface when adopting embodiments of the present invention.
Fig. 2 shows the synoptic diagram that can use system of the present invention.
Fig. 3 is the structural representation according to integrate information access system of the present invention.
Fig. 4 shows the process flow diagram of the method according to this invention.
Fig. 5 shows term and obtains device obtaining term from first display part, and the process flow diagram when checking associated term figure and document.
Fig. 6 shows the user interface synoptic diagram that generates lists of documents from term figure.
Fig. 7 shows term and obtains the process flow diagram of device when obtaining term and check corresponding term figure from second display part.
Fig. 8 shows the user interface synoptic diagram that generates term figure from lists of documents.
Fig. 9 shows the user interface synoptic diagram that generates term figure from document.
Figure 10 represent between the method according to this invention and each link of system funtcional relationship.
Figure 11-13 shows the process flow diagram of the mutual function 1, function 2 and the function 3 that carry out respectively between document, term and subgraph.
Embodiment
Before specifically describing embodiments of the present invention, the implication to the technical words used among the present invention describes earlier.
Term (term): describe the proprietary vocabulary of the things in nature or the virtual world, comprise name, place name, organization name, specialized vocabulary etc., for example IBM, DELL etc.
Knowledge base (knowledge base:KB): describe term and the attribute of term and the database of the relation between the term.
Document database (Doc DB): the database that comprises other metadata of keyword (keyword), document content and document.
Term figure (term graph): the diagrammatic representation of all terms and attribute thereof and relation in the knowledge base.
Term subgraph (term sub-graph): the diagrammatic representation of the attribute of a part of term and relation (in this manual in the knowledge base, owing to only relate to " term subgraph " under most of situation, therefore for convenience of explanation, " term subgraph " abbreviated as " term figure ").
Body (ontology): the type and the attribute of different term types and the relation between the term type that have defined term; For example: company's type (COMPANY) has the attribute such as title (NAME), network address (WEB_SITE), address (ADDRESS), executive chairman (CEO), product (PRODUCTS), and has the relation such as rival (COMPETITOR) and affiliate (PARTNER); Body is stored in the knowledge base.
Hereinafter with reference to accompanying drawing preferred implementation of the present invention is described.Although should be pointed out that this instructions will be main be that example describes with the document on the Internet, the present invention is not limited thereto, the present invention can be adapted to carry out information browse and search Anywhere, for example, in the database.
Exemplary user interface
At first with reference to Fig. 1, Fig. 1 has shown the synoptic diagram of the user interface 100 when adopting system and method for the present invention.Fig. 1 exemplarily is divided into several windows with user interface 100, comprises term figure window 110, lists of documents window 130, preferred document content window 120, preferred term example list window 140, and preferred query window 150.
When the user was interested in certain specific term (for example, IDC company), he preferably can utilize query window 150 to submit " IDC company " this term to system.System is the information of retrieval relevant " IDC company " from knowledge base at first, and show the attribute and the relation of " the IDC company " that retrieve from knowledge base in term figure window 110 as host node with " IDC company ".
For the ease of showing, in Fig. 1, only demonstrate and be stretched over next node layer (promptly from host node, have a limit (edge)) term figure, but the present invention is not limited thereto, depend on the factors such as computing power, display interface size and user's request of system, can show term figure with any multilayer node.
In addition, a preferred embodiment of the invention shown in Fig. 1 illustrates the relation and the attribute of term with the term of tree structure, and this can reflect the each side information of a term more intuitively.But also can replace described term figure with textual description.For example, can in term figure window 110, provide following text:
" IDC LLC is the client of Hewlett-Packard Corporation;
The network address of IDC LLC is
Http:// www.idc.com
IDC China company is the branch office of IDC LLC;
The contact person of IDC LLC is Mike Williams;
......”。
When system submitted in " IDC company " this term, it also will be used to the searching documents database, with the document that obtains to be correlated with.In lists of documents window 130, list the relevant documentation that inquires subsequently.At this moment, the user can click certain document to check the particular content of the document in document content window 120.
Thus, can in same user interface, show the relevant information of term and the document that comprises this term to the user simultaneously, thereby provide convenience for browsing of user.
Preferably also comprise a term example list window 140 in the user interface shown in Figure 1, show a series of terms in the term example list window 140, these terms can be imported in advance, for example can prepare the tabulation of some companies and demonstrate the customizing messages of company, also can from the current document tabulation, carry out the text analyzing Dynamic Extraction and go out; In addition term example list window 140 also comprise some by term with/or the filter criteria that forms of relation, any term etc. for example all appears or occurs.Thus, described example list window 140 has constituted a term filtrator, and the user can select the combination of different terms from this term filtrator, and uses suitable filter criteria, form new inquiry and be submitted to system, thereby from document database, extract new lists of documents.In example shown in Figure 1, the new document that extracts will be to comprise any one those documents in 3 options that highlight in the term example list window 140.Thus, with the dirigibility that has further improved user's browsing document and obtained information.
This shows, solution of the present invention allows the user to initiate search to own information of interest from take up an official post the what is the need for place of wanting of user interface, and the execution that can circulate down, till obtaining all information that oneself need, this has greatly improved the degree of freedom and the dirigibility of user's acquired information.
Structural arrangements and mode of operation
Fig. 2 shows the synoptic diagram that can use total system 200 of the present invention.The dotted line left part is the traditional formation document database and the part of knowledge base in the system 200, and the right side is the part that has adopted according to integrate information access system of the present invention.
The traditional formation document database and the part of knowledge base comprise text analyzing part 210, and it is used for each document of collection of document 220 is carried out text analyzing, and this comprises analyzes the text message of input, therefrom to extract key word 212 and term 214.
For example, can extract key word 212 in the document by natural language participle device (not shown), the named entity recognition device can also extract named entity (that is, as those proprietary vocabulary of the term) automatically.Information such as key word, named entity will be submitted to document database 230 and be stored in wherein, be convenient to document is inquired about.
Term 214 that described text analyzing operation identifies and the relation between the term and attribute will be submitted to knowledge base 240, with information such as the attribute that constitutes each term example and term and relations.The information of storage relational term in knowledge base.It can use body to define type and its attribute and the relation of middle term in the knowledge base.For example, the term type can be people (PERSON), company (COMPANY), place name (PLACE) etc.The attribute of company (COMPANY) can be title (NAME), network address (WEB_SITE), address (ADDRESS), executive chairman (CEO), product (PRODUCTS) etc.Information in the knowledge base can also can be extracted from document by information extractor automatically by artificial input.Ontology information and term example information all are stored in the knowledge base.
For traditional system, document database 230 and knowledge base 240 will irrelevantly be worked each other mutually, and one for the user provides document content, and one for the user provides term information, produce the user interface of oneself separately.
But according to the present invention, make document database 230 and the knowledge base 240 can be associated with each other, so that the user interface that generates as shown in Figure 1 becomes possibility by adding an integrate information access system 260.
Hereinafter with reference to Fig. 3 the structure of integrate information access system 260 is elaborated.Fig. 3 is the general structure synoptic diagram according to integrate information access system 260 of the present invention, and wherein the assembly of representing with solid box is a basic module of the present invention, and the assembly of representing with frame of broken lines is an optional components of the present invention.
As shown in Figure 3, integrate information access system 260 comprises one first extraction element 310, and it links to each other with knowledge base, and therefrom to extract the information relevant with the user's interest term, these information can comprise the attribute or the relation of this term; One second extraction element 320, it links to each other with document database, therefrom to extract each document that comprises described user's interest term; One first display part 330 is used to the information that shows that first extraction element 310 extracts; One second display part 340 is used to show the tabulation of each document that second extraction element 320 extracts; And a term acquisition device 350, be used to obtain the user's interest term.
In a kind of preferred implementation of the present invention, described term obtains device 350 and can obtain from the information that shows in first display part 330, also can obtain from the lists of documents that shows in second display part 340.
According to another preferred implementation of the present invention, described integrate information access system 260 can also comprise one the 3rd display part 360 of user interface, is used for showing the particular content of certain particular document of tabulation of second display part 340.Described term obtains device 350 also can obtain the user's interest term from described the 3rd display part.For example, when the user has clicked certain particular document in each document that extracts from document database, its content will show by described the 3rd display part 360, and described term acquisition device 350 can obtain the user's interest particular term from described the 3rd display part 360, so that finish the foregoing operation of the present invention.In addition, when the particular term that occurs in to this particular document as the user is interested, the term figure information that also can further check this term.
According to another preferred implementation of the present invention, described integrate information access system 260 also comprises one the 4th display part 370, is used to realize term example list window 140.Described the 4th display part can comprise some by term with/or the filter criteria that forms of relation, any term etc. for example all appears or occurs.Under each filter criteria, comprise some options.Described option can be to be input in advance in the system, for example can prepare the tabulation of some companies and demonstrate the customizing messages of company, also can obtain by lists of documents is carried out foregoing text analyzing.So from then on the user selects the combination of different options in the window, forms new inquiry and is submitted to system, thereby from document database the new lists of documents of extraction.
According to another preferred implementation of the present invention, described integrate information access system 260 also comprises one the 5th display part 380, is used to realize query window 150.Described term obtains device 350 also can (for example, by user's input operation) obtain the user's interest particular term from described the 5th display part, so that finish the foregoing operation of the present invention.
Term obtains device 350 can also comprise that preferably an inquiry forms the device (not shown), is used for taking out corresponding term and attribute and relation the new terminology figure from knowledge base, forms a new inquiry, and inquiry is submitted to document database.
Term obtains device 350 preferably can also comprise a text analyzing device (not shown), is used for lists of documents is carried out text analyzing, so that extract user's interest term and attribute or relation.Described text analyzing device can onlinely be finished described text analyzing operation (for example the weight by determining each term, sort etc.), when perhaps if document database itself has performed the identification work of term, described text analyzing device also can directly obtain term from document database.And, when which term described text analyzing device extract in decision, can be according to user's needs, according to the classification of term (for example, company, place, task dispatching), perhaps extract according to certain priority (for example, the word frequency of certain term appearance or weight etc.).
As it will be appreciated by those skilled in the art that respectively installing and can realizing of using among the present invention by programming mode, and can realize by the mode of hardware discrete component, also can realize by the combination of these two.
The process flow diagram of the method according to this invention as shown in Figure 4.This method starts from step 400, enters step 410 subsequently.In step 410, system will obtain user's interest term (for example, " IDC company ").Next, in step 420, system extracts from knowledge base and the relevant information of described user's interest term.Simultaneously, in step 430, system extracts each document that comprises described user's interest term from document database.Subsequently, in step 440, the information that will extract in step 420 and 430 is presented at respectively on first, second part of user interface.After this operation of repeating step 410-440 as required make system constantly obtain the user's interest term from described first, second display part, thereby the user can freely browse required document and term information.The method according to this invention finishes in step 450.
Below, with reference to Fig. 5-7 term acquisition device according to the present invention obtains term from the different piece of user interface different modes is described.
Fig. 5 has described described term and has obtained the situation of device 350 when further obtaining term and check associated term figure and document from first display part 330.That is, the user wishes to obtain the new terminology figure of another one term (for example, HP company) among relevant current term (being " IDC company " here) the term figure and check the relevant lists of documents with described new terminology figure.
The method of Fig. 5 enters step 510 subsequently from step 500.In step 510, be example still with as shown in Figure 1 term figure, suppose system from the user obtained the interested term of another one (as, " HP company ").So, in step 520, will from knowledge base, extract the new terminology figure relevant, in first display part of system, to show by first extraction element 310 with described term.Subsequently, the method according to this invention enters step 530, is used for taking out corresponding term and attribute and relation the new terminology figure from knowledge base, forms a new inquiry, and inquiry is submitted to document database.Next, in step 540, respond described inquiry, the searching documents database is to find each document with described match query.Then, in step 550, the coupling document that finds is shown to the user.The method according to this invention finishes in step 560, and corresponding user interfaces represents to see Fig. 6 therewith.
For the operation in Fig. 5 step 530, on the one hand, can only from knowledge base, take out with new terminology figure in relevant attribute and the relation of host node (be " HP company " here), and use with this host node and attribute thereof and relation and form the also further searching documents of new inquiry; On the other hand, also attribute and the relation relevant be can from knowledge base, take out, and new inquiry and further searching documents formed with these a plurality of nodes and attribute thereof and relation with a plurality of nodes among the new terminology figure.In practical operation, specifically adopt any can the appointment in the as above dual mode by the user, also can preestablish by system.
Fig. 7 has described described term and has obtained the situation of device 350 when the lists of documents window from second display part 340 obtains term and checks respective document.That is, the user wishes to check the particular term that occurs in the described lists of documents or the relation between the term.
The method of Fig. 7 enters step 710 subsequently from step 700.In step 710, suppose that the user is to some term and the attribute thereof that exist in the lists of documents or concern interested.So in step 720, term obtains device 350 and by its text analyzing device lists of documents is carried out text analyzing, so that extract user's interest term and attribute or relation.
Subsequently, the method according to this invention enters step 730, and first extraction element submitted in the term that will obtain in step 720, to extract the term figure of relevant described term from knowledge base.Next, in step 740, show described term figure.Subsequently, method of the present invention finishes in step 750, and corresponding user interfaces represents to see Fig. 8 therewith.
Shown in the user interface of Fig. 1, in document content, can be highlighted come out as the speech of term, this is system extracted or separated term when carrying out text analyzing at first result.Those are not used as the vocabulary that term extraction comes out when carrying out text analyzing at first can be not highlighted.But, no matter whether a vocabulary is highlighted, if the user is interested in its further information, all can for example (this be an existing technology in the prior art by clicking this vocabulary or by similar input mechanism it being submitted to system, do not do detailed description), thereby obtain relevant term information and/or document according to method flow as shown in Figure 4, corresponding user interfaces represents to see Fig. 9 therewith.
In addition, if the user wishes to check all terms that occur in the document content and the term figure of relation between them and attribute, then situation is similar to the method flow of describing with reference to Fig. 7.At this moment, also need to carry out certain text analyzing, for example determine each term weight, sort etc., subsequently these terms are constituted new inquiry to submit to knowledge base, to extract the term figure relevant, in first display part, to show with described term.
The exemplary functions algorithm
It is mutual that foregoing system and a method according to the invention is carried out between document, term and subgraph, can adopt funtcional relationship as shown in figure 10 to represent.Below provide the exemplary algorithm of function 1-3, respectively by the flowcharting of Figure 11-13.Function given here is intended to illustrate principle of the present invention, should not be construed as limitation of the present invention.In these functions, suppose that the term figure that all terms constitute among the knowledge base K is G, comprise terminology T, document sets is D.
Figure 11 represents to generate from lists of documents the method (function 1) of term.
Here, suppose that m document { d arranged
1..., d
m, T term wherein appears altogether.The method of Figure 11 is from step 1100 beginning and enter step 1110.In step 1110, the weight of each term is initialized as 0, i.e. w
t=0.0 (t=1 wherein ..., T).
Subsequently, in step 1120, for each document d
j(j=1 wherein ..., m), calculate the weight of each term respectively, establish w
j, t is the weight of t term, t=1 ..., T, computing method are as follows:
w
j，t＝tf
j，t*idf(t)
Here, tf
J, tJ document d in the expression collection of document
jIn the frequency that occurs of t term, i.e. word frequency; And
Wherein, N represents the quantity of document in the collection of document, N
tThe number of files that comprises term t in the expression collection of document, idf (t) are called contrary document frequency (inversedocument frequency), and it is along with N
tIncrease and reduce.Repeat above-mentioned equation, can calculate document d
jIn the weight of all terms.
Then, in step 1130, each term is carried out arithmetic mean in the weight of m document, the average weight that just can calculate this term is:
Then, in step 1140, term is sorted from big to small by its average weight, k term before selecting constitutes query formulation.Subsequently, method shown in Figure 11 finishes in step 1150.
Figure 12 shows from the method for term spanning subgraph (function 2).
The method of Figure 12 is from step 1200 beginning and enter step 1210.In step 1210, supposing has m term { t
1..., t
m.
In step 1220, judge in the term figure of knowledge base K G, whether have the connected subgraph { G that comprises m term
1..., G
n.If step 1220 be judged as "Yes", then this method enters step 1230, calculates the node number l of each connected subgraph respectively
1..., l
n, and in step 1240, select minimum that connected subgraph G of node number
k, so that be presented on first display part.Then, the method for Figure 12 finishes in step 1250.
If (that is, there is not the connected subgraph { G that comprises m term in the "No" that is judged as of step 1220 in the term figure of knowledge base K G
1..., G
n), method enters step 1260 so, for each term t
i∈ { t
1..., t
m, generate term subgraph G respectively
i, wherein, G
iComprise term t
iAnd and t
iThe all nodes and limit (being term and relation) that link to each other.Then, in step 1270, with m subgraph { G
1..., G
mBe merged into a figure, be presented on first display part.Subsequently, enter step 1250 equally, to finish this method.
Figure 13 has represented to generate from subgraph the method (function 3) of lists of documents.
The method of Figure 13 is from step 1300 beginning and enter step 1310.In step 1310, given subgraph G
i, suppose that the user has selected the individual term of m wherein (m 〉=1).Next, in step 1320, to each term t
j, from knowledge base K, obtain the attribute of this term and relevant term, promptly term that is connected with this term node and the relation between them constitute a query formulation, are submitted to document database and inquire about.Subsequently, in step 1330, in document database, retrieve relevant document and the lists of documents of returning is presented on second display part.Method shown in Figure 13 finishes in step 1340.
The front obtains new term with reference to what Fig. 5 described from the term figure of first display part, can exemplarily realize by composite function 2 and function 3 with the term figure that inquires about this new terminology and the process of relevant documentation.
Term is extracted with reference to what Fig. 6 described in the front from lists of documents, the process with the term figure that checks described term can exemplarily realize by composite function 1 and function 2.
The previously described process of in the document content certain term of checking can exemplarily realize by function 2.
By above description as can be seen, system and a method according to the invention provides great dirigibility for user's browsing information, and no matter the user partly starts with from which of display interface, all can obtain the information that oneself needs without barrier.
Those of skill in the art will recognize that to provide embodiments of the invention with the form of method, system or computer program.Therefore, the present invention can take devices at full hardware embodiment, full software implementation example, the perhaps form of the embodiment of integration software and hardware.The typical combination of hardware and software can be the general-purpose computing system that has computer program, when program is loaded and be performed, and the control computer system, thus can carry out above-mentioned method.
The present invention can be embedded in the computer program, and it comprises all features that method described herein is implemented.Described computer program is comprised in one or more computer-readable recording mediums and (comprises, but be not limited to, magnetic disk memory, CD-ROM, optical memory etc.) in, described computer-readable recording medium has the computer readable program code that is contained in wherein.
With reference to the process flow diagram of the method according to this invention, system and computer program and/or block diagram illustrating the present invention.Each square frame in process flow diagram and/or the block scheme, and the combination of the square frame in process flow diagram and/or the block scheme obviously can be realized by computer program instructions.These computer program instructions can be provided for the processor of multi-purpose computer, special purpose computer, flush bonding processor or other programmable data treatment facilities, producing a machine, thereby instruction (described instruction is by the processor of computing machine or other programmable data processing device) generation is used for being implemented in the device of the function that one or more square frames of process flow diagram and/or block scheme stipulate.
These computer program instructions also can be kept in the memory read of one or more computing machines, each sort memory can command computer or other programmable data processing device play a role according to specific mode, thereby the instruction that is kept in the computer-readable memory produces a kind of manufacturing a product, and described manufacturing a product comprises the command device of the function of stipulating in the one or more square frames that are implemented in process flow diagram and/or block scheme.
Computer program instructions also can be loaded on one or more computing machines or other programmable data processing device, make and on described computing machine or other programmable data processing device, carry out a series of operation steps, thereby on each such equipment, produce computer implemented process, so that the instruction of carrying out is provided for being implemented in the step of stipulating in one or more square frames of process flow diagram and/or block scheme on this equipment.
More than by describing preferred implementation of the present invention principle of the present invention is described, but it will be appreciated by those skilled in the art that above-mentioned explanation is exemplary, can not be interpreted as limitation of the present invention.Can carry out various improvement and distortion to the present invention, and can not deviate under the situation of the spirit and scope of the present invention.Scope of the present invention will be limited by the claims of enclosing.
Claims (21)
1. system that is used to realize interactive browse, described system links to each other with document database with knowledge base, and described knowledge base stores a plurality of terms and the information relevant with each term, and described document database stores a plurality of documents, and described system comprises:
Term obtains device, is used to obtain the user's interest term;
First extraction element is used for extracting and the relevant information of described user's interest term from knowledge base,
Second extraction element is used for extracting the document that comprises described user's interest term from document database;
First display part of user interface is used to the information that shows that first extraction element extracts; And
Second display part of user interface is used to show the tabulation of each document that second extraction element extracts,
Wherein said term obtains device and obtain the user's interest term from described first or second display part.
2. system according to claim 1, the wherein said information relevant with each term comprises the attribute and/or the relation of described term.
3. system according to claim 1, wherein said first display part shows the relation and/or the attribute of described user's interest term and term by term figure or textual description.
4. system according to claim 1, the 3rd display part that also comprises user interface, be used for showing the content of certain particular document in each document of listing second display part, and described term obtains also acquisition user's interest term from described the 3rd display part of device.
5. system according to claim 1, described term obtains device and comprises that also inquiry forms device, when first display part has shown the new terminology figure relevant with the further interested term of user, described inquiry formation device is used for one or more terms and the relevant information thereof from the described new terminology figure of knowledge base taking-up, to form new inquiry and to submit to document database.
6. system according to claim 1, described term obtains device and also comprises the text analyzing device, be used for taking out each term that lists of documents or document content comprise, and it is submitted to first extraction element extracting the term figure relevant with described each term, and in first display part, show.
7. system according to claim 6, wherein said text analyzing device takes out one of at least described each term in the following manner from lists of documents or document content: 1) by online mode lists of documents or document content are carried out text analyzing; And 2) directly from document database, take out described each term.
8. system according to claim 1, wherein said system also comprises the 4th display part of user interface, form a term filtrator, comprise: term example and filter criteria, described term filtrator is used to use described term example and filter criteria to constitute new inquiry, to search for new lists of documents.
9. system according to claim 8, wherein:
Described filter criteria be described term example with/or the relation;
Described term example be input in advance in the system or from previous lists of documents Dynamic Extraction.
10. system according to claim 1, wherein said system also comprise the 5th display part of user interface, are used for the user and directly import its interested particular term, send to described term and obtain device.
11. a method that is used to realize interactive browse, described method comprises:
Obtain the user's interest term;
Extract and the relevant information of described user's interest term from knowledge base, in first display part that is presented at user interface, described knowledge base stores a plurality of terms and the information relevant with each term;
Extract each document comprise described user's interest term from document database, be presented in second display part of user interface with the tabulation of each document that will extract, described document database stores a plurality of documents;
The step of wherein said acquisition user's interest term obtains the user's interest term from described first or second display part.
12. method according to claim 11, the wherein said information relevant with each term comprises the attribute and/or the relation of described term.
13. method according to claim 11 comprises that also the document content is presented on the 3rd display part of user interface when the user checks the content of certain particular document in the tabulation of described document.
14. method according to claim 11, wherein said method also comprises:
In the 4th display part of user interface, show some term example and filter criteria,
Use described term example and filter criteria to constitute new inquiry, to search for new lists of documents.
15. method according to claim 14, wherein:
Described filter criteria be described term example with/or the relation;
Described term example be input in advance in the system or from previous lists of documents Dynamic Extraction.
16. method according to claim 11 is wherein said obtain the user's interest term from first display part, also comprises the steps:
The term figure of the term that obtains is presented in first display part,
By from knowledge base, taking out described term and/or relevant information, form new inquiry, and document database is submitted in inquiry,
Extract the tabulation of relevant documentation by second extraction element; And
The lists of documents of extracting is presented in described second display part.
17. method according to claim 11, the step of wherein said acquisition term also obtain the user's interest term from one of following array apparatus: the 3rd display part or the 4th display part.
18. method according to claim 17, the step of wherein said acquisition term also comprises the steps: when obtaining the user's interest term from second and third or four display parts
Take out each term that comprises in lists of documents or the document content, constituting new inquiry,
First extraction element is submitted in described inquiry, with the extraction term figure relevant with described each term, and
The term figure that extracts is presented in first display part.
19. method according to claim 11, the step of wherein said acquisition term also obtain the user's interest term from the 5th display part, wherein said the 5th display part is used for the user and directly imports its interested particular term.
20. method according to claim 19, the step that wherein obtains term also comprises the steps: when obtaining each term of user's interest from the 5th display part
Take out each term that comprises in described the 5th display part, constituting new inquiry,
First extraction element is submitted in described inquiry, with the extraction term figure relevant with described each term, and
The term figure that extracts is presented in first display part.
21. according to claim 16,18 or 20 described methods, the step of described each term of wherein said taking-up is taken out one of at least described each term in the following manner from lists of documents or document content: 1) by online mode lists of documents or document content are carried out text analyzing; And 2) directly from document database, take out described each term.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6067552A (en) * | 1995-08-21 | 2000-05-23 | Cnet, Inc. | User interface system and method for browsing a hypertext database |
| US6233575B1 (en) * | 1997-06-24 | 2001-05-15 | International Business Machines Corporation | Multilevel taxonomy based on features derived from training documents classification using fisher values as discrimination values |
| US6415319B1 (en) * | 1997-02-07 | 2002-07-02 | Sun Microsystems, Inc. | Intelligent network browser using incremental conceptual indexer |
| CN1564161A (en) * | 2004-03-23 | 2005-01-12 | 中国科学院计算技术研究所 | Method of constituting and browsing semantic links |
| CN1568469A (en) * | 2001-05-25 | 2005-01-19 | 恩迪卡技术公司 | Hierarchical data-driven navigation system and method for information retrieval |
| CN1599906A (en) * | 2001-12-07 | 2005-03-23 | 诺基亚公司 | A method and a server providing database inquiry services |
-
2005
- 2005-07-15 CN CN200510084607A patent/CN100585591C/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6067552A (en) * | 1995-08-21 | 2000-05-23 | Cnet, Inc. | User interface system and method for browsing a hypertext database |
| US6415319B1 (en) * | 1997-02-07 | 2002-07-02 | Sun Microsystems, Inc. | Intelligent network browser using incremental conceptual indexer |
| US6233575B1 (en) * | 1997-06-24 | 2001-05-15 | International Business Machines Corporation | Multilevel taxonomy based on features derived from training documents classification using fisher values as discrimination values |
| CN1568469A (en) * | 2001-05-25 | 2005-01-19 | 恩迪卡技术公司 | Hierarchical data-driven navigation system and method for information retrieval |
| CN1599906A (en) * | 2001-12-07 | 2005-03-23 | 诺基亚公司 | A method and a server providing database inquiry services |
| CN1564161A (en) * | 2004-03-23 | 2005-01-12 | 中国科学院计算技术研究所 | Method of constituting and browsing semantic links |
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