CN102810114A - Personal computer resource management system based on body - Google Patents

Personal computer resource management system based on body Download PDF

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CN102810114A
CN102810114A CN2012101943210A CN201210194321A CN102810114A CN 102810114 A CN102810114 A CN 102810114A CN 2012101943210 A CN2012101943210 A CN 2012101943210A CN 201210194321 A CN201210194321 A CN 201210194321A CN 102810114 A CN102810114 A CN 102810114A
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classification
information
file
resource
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叶振岳
饶国政
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Tianjin University
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Abstract

The invention discloses a personal computer resource management system based on a body, which is applied to personal computer resource management. The personal computer resource management system is characterized by comprising four modules, namely, a semantic information extraction module, a semantic information memory module, an information inquiry module and a semantic information visualization module; in addition, storage is performed in a centralized manner; information resources and relative metadata are extracted and converted, various types of information which is discrete in a desktop system can be converted to RDF (Resource Description Framework) metadata information based on a unified semantic reference, and then the RDF metadata information is stored in an XML/RDF(Xtensible Markup Language/Resource Description Framework) document in a centralized manner. Compared with the prior art, the personal computer resource management system changes a resource management mode based on catalogs in a personal computer at present, can effectively manage the organization and the search of heterogeneous information sources, and can improve the efficiency of the organization and the search of the resources.

Description

Personal computer resource management system based on body
Technical field
The present invention relates to the computerized information resource management techniques, particularly relate to the personal computer resource management system that a kind of semantic network technology combines with the table for computer plane system.
Background technology
Along with the progress in epoch, the development of society, traditional personal computer resource management mode can not satisfy user's actual demand well, mainly contains three problems:
(1) because the hard-disk capacity of personal computer is increasing, and the canned data resource is more and more abundanter, seek and locate required resource file and have to spend great amount of time and energy, possibly come back after a vain attempt sometimes.
(2) catalogue can not complete reflection resource or the taxonomic structure of file.Such as: when a file has a plurality of generics semantically, just can not classify with simple list mode.
(3) different files possibly realize that resource file just can't be broken through application boundaries and in computing machine, carry out association through different application program.Promptly can't support to realize between dissimilar, different data format, the different application to cross over the information sharing of application boundary and integrated effectively.
And in sum, such resource management mode makes present WDS all be based on filename and realizes search that Search Results often can not let the user satisfied.
Summary of the invention
Problem based on above-mentioned prior art existence; The present invention proposes a kind of personal computer resource management system of the present invention; Change in the past desktop system to the directory management mode of file resource; From management resource, generate and organize semantic information dynamically, and set up corresponding breaking in the past and can only realize personal computer resource organizations and inquiry in the desktop system through catalogue and filename.Use semantic net unified resource indicator URI to come unique sign local information resource
The invention provides a kind of personal computer resource management system based on body, this system applies is characterized in that in the personal computer resource management; This system comprises four modules: the semantic information extraction module; The semantic information memory module, information inquiry module, semantic information visualization model.This four modules are described respectively below, wherein:
The semantic information extraction module, the metadata information of extraction resource file the various document format datas from personal computer, the semantic information that is translated into unified RDF form acquired information resource is then described, and the file body can be from the information source of isomery;
The semantic information memory module is stored the metadata information of information extraction resource with the form of RDF,
The RDF data that need extract the boxcar storage in above-mentioned semantic information extraction module, semantic information memory module comprise: the various information resources of one of which, data file and associated description metadata; The body that is used for taxonomic organization of two, user's importing, establishment and editing customized, i.e. classification body; Its three be used for various information resources conversion usefulness the metadata description body.Also will keep watch on, thereby the data that when data source changes, upgrade in time help user's organization and administration file system;
The semantic information enquiry module; Employing Lucene full-text search engine is set up the index of the corresponding semantic information description of metadata and function of search is provided; The user carries out the Search and Orientation of information resources according to the index of creating, and realizes the information resources dynamic organization based on WDS;
The semantic information visualization model; Be used for demonstration, correlated resources and the displaying of classification body; Tissue and demonstration are based on the information resources of classification body, and customer analysis is created and showed classification body, through adding Associate Dialog Box; A certain data file manually is associated with classification scheme, thereby realizes the organization and administration of semantic information.
The invention allows for a kind of personal computer method for managing resource based on body; Adopt centralized mode to store; Through information resources are extracted conversion with relevant metadata; Various information translation are the RDF metadata information based on unified semantic benchmark in the desktop system with being dispersed in, and concentrated being stored in the XML/RDF file, and this method may further comprise the steps:
Analyze the file information data that is read; From file, extract the metadata that is used for this system organization management; Metadata to being extracted is carried out Data Format Transform, converts the RDF formatted file into; Carry out the storage of RDF formatted file; When needs, store Data Update; Add the RDF data and by correlated resources between the management document resource and demonstration; The user can realize request of data, query requests and the Query Result of RDF data file are returned through URI, thereby realizes the management of computer resource.The computer resource management of this moment can be not limited to the simple management and the inquiry in file name, path, can control classification body according to the metadata complexity that makes up, and to the resource of being managed comprehensive inquiry and management based on classification body is provided.
Compared with prior art; The present invention has designed and Implemented a personal computer resource management system based on body; Change in the present personal computer based on the resource management scheme of catalogue, can manage the tissue and the search of type isomerization information resource effectively, improve the tissue and the recall precision of resource.
Description of drawings
Fig. 1 is the system architecture synoptic diagram of the personal computer resource management system based on body of the present invention;
Fig. 2 is the workflow diagram of the personal computer resource management system based on body of the present invention;
Fig. 3 is the state transition graph of the user interface of the personal computer resource management system based on body of the present invention;
Fig. 4 is the data corresponding relation synoptic diagram of RDF formatted file of the present invention and computerized information resource, URI;
Fig. 5 ceases the metadata information synoptic diagram that resource file extracted for the personal computer resource management system based on body of the present invention to TXT information;
Fig. 6 is traditional display interface synoptic diagram of the organization of information resources of the personal computer resource management system based on body of the present invention;
Fig. 7 is the tree-shaped level display interface synoptic diagram of the organization of information resources of the personal computer resource management system based on body of the present invention;
Fig. 8 is a data structure information resource classification body class-hierarchy structure gragh;
Fig. 9 is the tree-shaped displaying example of a data structure classification body surface chart;
Figure 10 is the Associate Dialog Box surface chart.
Conventional visualization is felt.System also provides two kinds of interface display functions, and a kind of to be that traditional tabular form (seeing accompanying drawing 4) is another kind of wrap and realize tree-shaped level display function (seeing accompanying drawing 5) through calling Prefuse.
Embodiment
Below in conjunction with accompanying drawing and preferred embodiment,, specify as follows according to embodiment provided by the invention, structure, characteristic and effect thereof.
Personal computer resource management system based on body of the present invention; This system applies is in the personal computer resource management, and total system is divided into four modules: semantic information extraction module, semantic information memory module; The information inquiry module, the semantic information visualization model.This four modules are described respectively below.
The semantic information extraction module; Extract the metadata information of resource file the various document format datas from personal computer (as: txt, word, pdf etc.); The semantic information that is translated into unified RDF form acquired information resource is then described, and the file body can be from the information source of isomery;
The semantic information memory module is stored the metadata information of information extraction resource with the form of RDF, need the RDF data of storage to comprise: various information resources of (1) data file and associated description metadata; The body that is used for taxonomic organization of (2) user's importing, establishment and editing customized, i.e. classification body; (3) be used for the metadata description body that various information resources are changed usefulness.Also will keep watch on, thereby the data that when data source changes, upgrade in time help user's organization and administration file system.Based on many factors such as data integrity and securities, use relational database or XML/RDF database to store the RDF data;
The semantic information enquiry module; Employing Lucene full-text search engine is set up the index of the corresponding semantic information description of metadata and function of search is provided; The user can carry out Search and Orientation according to the index of creating; Improved the efficient of search, thereby realized information resources dynamic organization based on WDS;
Semantic information visualization model, this module functions are based on the organization of information resources of classification body and demonstration.Customer analysis is created and is showed classification body, through the interpolation Associate Dialog Box, a certain data file manually is associated with a certain specific classification scheme, thereby realizes the organization and administration of semantic information.
As shown in Figure 2, be the workflow diagram of information resource management system of the present invention, analyze the file information data that is read; From file, extract the metadata that is used for this system organization management; Metadata to being extracted is carried out Data Format Transform, converts the RDF formatted file into; Carry out the storage of RDF formatted file; When needs, store Data Update; Add RDF data related with by between the management document resource, this pass coupling URI representes; The user can realize request of data, query requests and the Query Result of RDF data file are returned through URI, thereby realizes the management of computer resource.The computer resource management of this moment can be not limited to the simple management and the inquiry in file name, path, can control classification body according to the metadata complexity that makes up, and to the resource of being managed comprehensive inquiry and management based on classification body is provided.
As shown in Figure 3, be the interfacial state conversion synoptic diagram of resource management system of the present invention.It is thus clear that, the switchable state in the interface of native system comprise file → interpolation classification body → demonstration classification body under interpolation file → folder → add automatically related → manually add the satisfactory file of the button of association/click → search for → show → withdraw from.
→ click a certain classification scheme →
Following embodiment according to the present invention describes in further detail technical scheme of the present invention:
In the semantic information extraction module; Each information resources file in the desktop system all has corresponding local file URL (the common definition of complete path name that adds this resource file through protocol name " file: " gets) identifier; These file URL have local uniqueness, therefore can be used for indicating uniquely addressable local information resource file.When the information resources file is interpreted as the semantic net resource, the file URL of local information resource file also will be converted into corresponding semantic net URI.Through such conversion, in desktop system, just can use semantic net unified resource indicator URI to come unique sign local information resource uniformly.For example utilize semantic net URI to come the text word string expression formula of unique flag information resource file in the table 1.
Table 1
Figure BDA00001761886000051
In addition; In native system; Unified resource description framework (RDF) standard of using of information extraction is carried out metadata description, be convenient to the data access interface that provides consistent, the various technology that making full use of semantic net one time provides are handled the various metadata informations in the semantic desktop.At first to extract the metadata information of various information resources, convert resource file into the semantic net resource.In the process of extracting, need special metadata description body as semantic benchmark, so that behind conversion RDF, keep the relevant semantic information of information resources as much as possible.The data conversion corresponding relation that computer resource, URI and RDF describe is as shown in Figure 4.Wherein, the description of RDF file comprises attribute type and property value, can RDF file and computer resource be set up unique corresponding relation through URI.
Metadata is distributed in various types of information resources files widely, and is supported by various interface.Such as in the PDF document, just must use Adobe XMP to extract corresponding metadata information, then according to specific metadata description body, convert corresponding RDF metadata to.The present invention is basic as research with the most basic text txt, the extraction of descriptive metadata and conversion, and the alternative document type can directly utilize system of the present invention to expand according to specific separately interface.TXT text resource file is at first through analyzing basic information resources file; It is as shown in Figure 5 to summarize basic metadata information; The metadata that will extract comprise: filename, file path, file size, modification date, author, file type, classification scheme; The metadata of these computer resources will be converted into the RDF formatted file, simultaneously, utilize URI to set up the corresponding one by one of metadata and its RDF formatted file.
In the semantic information memory module, the metadata information of information extraction resource is stored with the form of RDF, need the RDF data of storage to comprise: various information resources of (1) data file and associated description metadata; The body that is used for taxonomic organization of (2) user's importing, establishment and editing customized, i.e. classification body; (3) be used for the metadata description body that various information resources are changed usefulness.Also will keep watch on, thereby the data that when data source changes, upgrade in time help user's organization and administration file system.Based on many factors such as data integrity and securities, use relational database or XML/RDF database to store the RDF data.
In the semantic information enquiry module, utilize the Lucene search engine to use inverted file to carry out index.Inverted file mechanism is a kind of index mechanism towards word, utilizes it can improve retrieval rate.Inverted file structure by vocabulary with situation two parts occur and form.For each word; All have a tabulation (being called word lists) to write down the position that word occurs in all texts, these positions can make the position (being which word in the text) of word also can make the position (being which character in the text) of character.
The concise and to the point workflow of Lucene is following:
(1) uses IndexWriter, set up the file of index in designated directory;
(2) will need the Filed object of data retrieved converted Document, add to Document in the file of index with IndexWriter then;
(3) handle index information, close IndexWriter stream;
(4) create the Query that searches for;
(5) give IndexSearcher, generate Hits as a result;
The relevant search word of input in the search box of user interface, resource management system of the present invention will call this functional module and return the corresponding results collection, is shown to the user.Like this, the user just can be according to the dynamic organizational information resource of a certain vocabulary.
In the semantic information visualization model; In order to satisfy the needs of different user hobby; System also provides two kinds of interface display functions, and a kind of to be that traditional tabular form (as shown in Figure 6) is another kind of wrap and realize tree-shaped level display function (as shown in Figure 7) through calling Prefuse.
1. the demonstration of classification body
The demonstration of classification body mainly comprises three steps: make up ontology model, carry out body coding and tree-shaped displaying classification scheme.The present invention chooses field of data structures relevant structure and the displaying of descriptive information classification body as an example.
(1) makes up ontology model
At present, about Ontology Modeling neither one unified method also, this paper mainly uses for reference some basic thoughts of seven methods of domain body modeling of medical college of Stanford University exploitation, and the concrete grammar that makes up ontology model is:
1) in text, extracts field vocabulary;
2) according to 1) in the branch face in the key vocabularies structure field extracted, and then all classified vocabularies;
3) to step 1), 2) in add the relation between vocabulary and the vocabulary in the classification lexical system that constructs;
The modeling concrete grammar of data structure information resource classification body is:
1) on the basis of domain analysis; With " computer science and technology Chinese thesaurus " basis as extracted data structure field concept; The data structure teaching material of some cores makes up the needed field of data structure dictionary vocabulary in the data structure information resource classification body for replenishing with this.
2) use top-down method; The highest vocabulary of abstraction hierarchy in the extraction field in " data structure dictionary " field, at first can be divided into " data structure algorithm " and " type of data structure " two parts; Then the intension vocabulary of the high vocabulary of abstraction hierarchy is chosen; As to " type of data structure " this vocabulary, its intension vocabulary comprises " chained list ", " related array ", " tree ", " figure ", so can these vocabulary be added field vocabulary again.According to this thought, along with the reduction of vocabulary abstraction hierarchy, this area various aspects all are determined, and finally just can obtain describing the whole vocabulary that the field is required, like the antistop list of binary tree, various algorithms or the like.
3) in the field vocabulary that extracts, select the minimum vocabulary of abstraction hierarchy and form the bottom subclass, summarize the upper strata subclass then, then seek the classification of each upper strata subclass again, so recurrence finally constructs a class hierarchy tree, and is as shown in Figure 8.
(2) body coding
Native system select for use Prot é g é 3.3.1 as the body edit tool according to planned about data structure information resource classification ontology model; Can come out the classification body model representation RDFS ontology file that the generation system needs through various ontology element.
(3) tree-shaped displaying classification scheme
Can know that from above classification body is to go up the next hierarchical relationship, so system adopts tree structure to show it.Call that JTree realizes this function in the Swing assembly.It has a lot of constructed fuctions, and system selects for use TreeModel to make up tree, JTree (TreeModel newModel).
The classification scheme that the method for employing recurrence is taken out each layer.Begin from top layer earlier, suppose that all classification bodies all are the subclasses of SUtils.ROOTCLASS=file:/myscan/onto/ds_onto.rdf#thing.Then can obtain the top layer classification scheme through GetRootClass () function.In order to check conveniently; When generating TreeNode, adopt the class name initialism; Be abbreviated as thing (character string of intercepting # back) like file:/myscan/onto/ds_onto.rdf#thing, deposit in the rootclass tabulation, be inserted in the body tree through insert () function again.
Wherein most important RDF body Jena iterator is in the GetRootClass () function:
Figure BDA00001761886000081
Figure BDA00001761886000091
The classification scheme of other levels adopts identical method, and just the property value of tlv triple is the inferior classification scheme of its last layer.Such classification body tree has just generated.Tree-shaped displaying example such as Figure 10 of data structure classification body.
2, correlated resources and displaying
(1) correlated resources
Have in system under the prerequisite of classification body and basic document, just can be associated with a certain file resource on a certain classification scheme, thereby realize organization of information resources based on classification body.System adopts two kinds of methods to realize adding related:
1) adds association automatically.When importing classification body, classification scheme is all left in topicList in the tabulation.Call each classification scheme among the topic list topicList in the Lucene interface recursive search classification body.If contain this theme word in certain file, this document is automatically associated on this classification scheme.
2) manually add association.Because it is not fine automatically adding interrelating effect, can through the LinkDialog dialog box manually add the deletion association correct.
Can know by diagram; At first use combobox to select to carry out related resource file name; Selection is to add related HasTopic, still deletes DeleteTopic, uses combobox to select to want the respective classified theme at last; Click " confirming ", just realize that the RDF file upgrades interpolation or deletes one group of statement.
(2) show related resource
In order to satisfy the needs of different user hobby, system has also called Prefuse and has wrapped and realize display function.Prefuse is a user interface bag, is used for having structure and non-structure data to display with the visualized graphs with interactivity.These data that comprise have more any relations (or edge) that can be described as a group object (or node) or can be joined together.System uses the realization of TreeView in the Prefuse bag.Calling of TreeView needs two tables, and one is node table, and another is the relation table between two nodes of link.Call the Jena interface and resolve filling in of relevant two tables of data completion of acquisition, call the details that the TreeView assembly among the Prefuse just can be showed different nodes dynamically at last.
Suppose that the user manually is associated with chained list .txt in " binary tree " classification scheme.And other auto-associating successes.Then accompanying drawing 4 has been showed the demonstration of click " binary tree " back traditional interface, and accompanying drawing 5 has been showed the demonstration of calling Prefuse bag back novel interfacial after the click " binary tree ".
Running example:
This system call Swing assembly and Prefuse assembly are realized the display function at interface, thereby good user interface are provided for the user.Fig. 6, Fig. 7 are the running example of this system.
A mistake! Do not specify bookmark.System master interface mainly is divided into menu bar, the displaying interface of classification body, document presentation interface, search column.
Comprise (1) file in the menu bar, " interpolation file " promptly adds basic document, and main interface right half part shows All Files, and " refreshing file folder " promptly shows All Files, and " withdrawing from " promptly quits a program; (2) classification body, " interpolation classification body " promptly showed tree-shaped classification body in the left-half at main interface; (3) association, " interpolation/deletion is related " jumped out Associate Dialog Box, realizes adding or the deletion correlation function.
Search column comprises search box and search button.The user fills in crucial search word in the search box, clicks " search ", just realizes simple full-text search, thereby realizes the information resources dynamic organization based on WDS.
System has also realized the organization of information resources based on classification body.The user can show related with it resource file through the classification scheme in the click classifications body (child node).Perhaps click novel tree-like and show the node in the interface, show the specifying information of the levels minor node of this node.System user can be taked different display modes according to the hobby of oneself, and traditional form shows that as shown in Figure 6, new-type tree-shaped demonstration is as shown in Figure 7.

Claims (6)

1. personal computer resource management system based on body, this system applies is characterized in that in the personal computer resource management; This system comprises four modules: the semantic information extraction module; The semantic information memory module, information inquiry module, semantic information visualization model; Wherein:
The semantic information extraction module, the metadata information of extraction resource file the various document format datas from personal computer, the semantic information that is translated into unified RDF form acquired information resource is then described, and the file body can be from the information source of isomery;
The semantic information memory module is stored the metadata information of information extraction resource with the form of RDF,
The RDF data that need extract the boxcar storage in above-mentioned semantic information extraction module, semantic information memory module comprise: the various information resources of one of which, data file and associated description metadata; The body that is used for taxonomic organization of two, user's importing, establishment and editing customized, i.e. classification body; Its three be used for various information resources conversion usefulness the metadata description body, also will keep watch on, thereby the data that when data source changes, upgrade in time help user's organization and administration file system;
The semantic information enquiry module; Employing Lucene full-text search engine is set up the index of the corresponding semantic information description of metadata and function of search is provided; The user carries out the Search and Orientation of information resources according to the index of creating, and realizes the information resources dynamic organization based on WDS;
The semantic information visualization model; Be used for demonstration, correlated resources and the displaying of classification body; Tissue and demonstration are based on the information resources of classification body, and customer analysis is created and showed classification body, through adding Associate Dialog Box; A certain data file manually is associated with classification scheme, thereby realizes the organization and administration of semantic information.
2. the personal computer resource management system based on body as claimed in claim 1 is characterized in that, the demonstration of the classification body of said semantic information visualization model, and this processing specifically may further comprise the steps:
Step 1, structure classification body model:
In classifying text, extract field vocabulary;
The key area vocabulary that extracts, and then all classified vocabularies;
In the classification lexical system that constructs, add the relation between vocabulary and the vocabulary;
Step 2, carry out body coding:
Selecting for use Prot é g é 3.3.1 as the body edit tool, is foundation with the classification body model, comes out the classification body model with coded representation the RDF ontology file that the generation system needs through various ontology element;
Step 3, tree-shaped displaying classification scheme
The classification scheme that the method for employing recurrence is taken out each layer: begin from top layer earlier, obtain the top layer classification scheme, generate tree node, deposit in the tabulation of root class, be inserted into again in the body tree; The classification scheme of other levels adopts identical method, and just the property value of tlv triple (please replenish implication) is the inferior classification scheme of its last layer; Generate a classification body tree.
3. the personal computer resource management system based on body as claimed in claim 1 is characterized in that, the correlated resources of said semantic information visualization model and displaying, and this processing specifically may further comprise the steps:
Step 1, correlated resources
Have in system under the prerequisite of classification body and basic document; Be associated with a certain file resource on a certain classification scheme; Thereby realize the organization of information resources based on classification body, comprise the related dual mode of the related and manual interpolation of automatic interpolation, adding related specific practice automatically is in the importing classification body; Classification scheme is all left in the tabulation; Each classification scheme in the topic list in the calling interface recursive search classification body if contain this theme word in certain file, then makes this document be automatically associated on this classification scheme; Manually adding related specific practice is manually to add, delete association through Associate Dialog Box to correct;
Step 2, the resource of showing association:
Through user interface, having structure and non-structure data to display with visualized graphs with interactivity.
4. personal computer method for managing resource based on body; Adopt centralized mode to store; Through information resources are extracted conversion with relevant metadata, various information translation are the RDF metadata information based on unified semantic benchmark in the desktop system with being dispersed in, and concentrated being stored in the XML/RDF file; It is characterized in that this method may further comprise the steps:
Analyze the file information data that is read; From file, extract the metadata that is used for this system organization management; Metadata to being extracted is carried out Data Format Transform, converts the RDF formatted file into; Carry out the storage of RDF formatted file; When needs, store Data Update; Add the RDF data and by correlated resources between the management document resource and demonstration; The user can realize request of data, query requests and the Query Result of RDF data file are returned through URI, thereby realizes the management of computer resource; The computer resource management of this moment can be not limited to the simple management and the inquiry in file name, path, can control classification body according to the metadata complexity that makes up, and to the resource of being managed comprehensive inquiry and management based on classification body is provided.
5. the personal computer method for managing resource based on body as claimed in claim 4 is characterized in that the demonstration of said classification body specifically may further comprise the steps:
Step 1, structure classification body model:
In classifying text, extract field vocabulary;
The key area vocabulary that extracts, and then all classified vocabularies;
In the classification lexical system that constructs, add the relation between vocabulary and the vocabulary;
Step 2, carry out body coding:
Selecting for use Prot é g é 3.3.1 as the body edit tool, is foundation with the classification body model, comes out the classification body model with coded representation the RDF ontology file that the generation system needs through various ontology element;
Step 3, tree-shaped displaying classification scheme
The classification scheme that the method for employing recurrence is taken out each layer: begin from top layer earlier, obtain the top layer classification scheme, generate tree node, deposit in the tabulation of root class, be inserted into again in the body tree; The classification scheme of other levels adopts identical method, and just the property value of tlv triple (please replenish implication) is the inferior classification scheme of its last layer; Generate a classification body tree.
6. the personal computer method for managing resource based on body as claimed in claim 4 is characterized in that, said association and displaying, and this processing specifically may further comprise the steps:
Step 1, correlated resources
Have in system under the prerequisite of classification body and basic document; Be associated with a certain file resource on a certain classification scheme; Thereby realize the organization of information resources based on classification body, comprise the related dual mode of the related and manual interpolation of automatic interpolation, adding related specific practice automatically is in the importing classification body; Classification scheme is all left in the tabulation; Each classification scheme in the topic list in the calling interface recursive search classification body if contain this theme word in certain file, then makes this document be automatically associated on this classification scheme; Manually adding related specific practice is manually to add, delete association through Associate Dialog Box to correct;
Step 2, the resource of showing association:
Through user interface, having structure and non-structure data to display with visualized graphs with interactivity.
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