CN102915381A - Multi-dimensional semantic based visualized network retrieval rendering system and rendering control method - Google Patents
Multi-dimensional semantic based visualized network retrieval rendering system and rendering control method Download PDFInfo
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Abstract
The invention relates to a multi-dimensional semantic based visualized network retrieval rendering system and a rendering control method, belonging to the technical field of network retrieval. The system comprises a query server, a semantic matching and reasoning module, an index database, a semantic index result set, a fractal dimension rule unit and a multi-dimensional result rendering unit. The method comprises the following steps that: the semantic matching and reasoning module carries out semantic matching and reasoning on a keyword, and the index database establishes and stores a semantic ontology index according to an obtained semantic matching and reasoning result set; and a multi-dimensional rule unit clusters the index result set into a multi-dimensional and multi-level data result according to the semantic distance of keywords in the semantic index result set, so that a situation that a user quickly positions a target result of retrieval in a multi-dimensional based candidate retrieved result rendering form is facilitated, thereby effectively distinguishing different semantics of the same text information and improving the retrieval efficiency.
Description
Technical field
The present invention relates to the Network retrieval technology field, concrete network retrieval presents technical field, refers to that specifically a kind of visual network retrieval based on the multidimensional semanteme presents system and presents control method.
Background technology
Along with the develop rapidly of retrieval technique, emerge the search engine such as all kinds of maturations such as Google (Google), Yahoo (Yahoo), Baidu (Baidu) both at home and abroad.The main text based information retrieval technique of these search engines is for the user provides the information retrieval that completeness is strong, correlativity is high engine.Although existing text search technology can search the file of the text query information that comprises the user, but appearance form mainly is the degree of correlation according to Search Results to sort, and with the size of result according to degree of correlation, return to the user with the form that links result set.The shortcoming of this retrieval technique maximum is, the polysemy of search key causes the semantic relation of search result set to vary, such as, the searching key word of submitting to search engine as the user is during for " apple ", search engine can't judge correctly that " apple " refers to fruit " apple ", or by " apple " company of Steve Jobs establishment, or fingering state film " The Apple ".Search engine is having no in the context-sensitive situation, and " apple " keyword that can't accurately determine search is the most relevant with any alternating content, so the result who causes searching often can not satisfy user's demand.
Summary of the invention
The objective of the invention is to have overcome above-mentioned shortcoming of the prior art, a kind of text query information by match user and the index information of file are provided, result for retrieval is presented to the user by different level according to the logicality of semanteme fractional dimension, be beneficial to the user based on the candidate search of various dimensions as a result in the appearance form, navigate to rapidly the objective result of retrieval, thereby effectively distinguish the different semantic of one text, improve recall precision, and system architecture is simple, with low cost, the method application mode is easy, and the visual network retrieval based on the multidimensional semanteme that has wide range of applications presents system and presents control method.
In order to realize above-mentioned purpose, the visual network retrieval based on the multidimensional semanteme of the present invention presents system and has following formation:
This system comprises querying server, semantic matches and reasoning module, index data base, semantic indexing result set, minute regular unit of dimension and multidimensional consequence display unit.Wherein, querying server is in order to provide user search keyword input interface; Semantic matches is connected described querying server with reasoning module, according to the knowledge collection in the association area keyword semanteme is mated and reasoning; Index data base connects respectively described querying server and semantic matches and reasoning module, with thinking that searching key word provides corresponding Search Results; The semantic indexing result set connects described index data base, in order to preserve the indexed results collection corresponding with searching key word; Minute regular unit of dimension connects respectively described semantic indexing result set and semantic matches and reasoning module, according to the semantic distance of keyword in the semantic indexing result set, the indexed results clustering is become many levels data result on a plurality of dimensions; The multidimensional consequence display unit then connects described minute ties up regular unit, in order to present the many levels data result on described a plurality of dimension to the user.
Should present in the system based on the visual network retrieval of multidimensional semanteme, described semantic matches and reasoning module comprise standard body knowledge base, semantic matches unit and semantic reasoning unit.Wherein, standard body knowledge base stores the ontology knowledge set in the corresponding field; The semantic matches unit connects described standard body knowledge base, obtains the semantic matches rule of keyword according to described ontology knowledge set, the lang justice of going forward side by side coupling; The semantic reasoning unit connects described standard body knowledge base, obtains the semantic reasoning rule of keyword according to described ontology knowledge set, the lang justice of going forward side by side reasoning.
The present invention also provides a kind of and utilizes described system to realize that based on multidimensional is semantic the visual network retrieval presents the method for control, and the method may further comprise the steps:
(1) described querying server receives searching keyword, and judges whether complex sentence of keyword, if, then enter step (2), if not, then enter step (3);
(2) described querying server carries out the participle filtration treatment, and comprises the keyword character string of separatrix to described index data base output, then enters step (3);
(3) described semantic matches and reasoning module carry out semantic matches and reasoning to described keyword, and the semantic reasoning result set is sent to described index data base;
(4) the Ontology index is set up and preserved to described index data base according to the semantic matches of obtaining and the reasoning results collection, and the indexed results collection of semantic matches and the reasoning results collection is sent to described minute ties up regular unit;
(5) multidimensional rule unit is according to the semantic distance of keyword in the described semantic indexing result set, with the data mode that the indexed results clustering becomes to have a plurality of dimensions, the data result of described data mode cluster many levels on each dimension;
(6) the multidimensional consequence display unit presents many levels data result on a plurality of dimensions to the user.
Should realize that the visual network retrieval presented in the method for control based on multidimensional is semantic, described querying server carries out the participle filtration treatment, and comprise the keyword character string of separatrix to the output of described index data base, be specially: described querying server carries out respectively participle and filtration treatment according to the different language type of keyword, and output comprises the keyword character string of separatrix.
Should realize that the visual network retrieval presented in the method for control based on multidimensional is semantic, described semantic matches and reasoning module comprise standard body knowledge base, semantic matches unit and semantic reasoning unit, and described standard body knowledge base stores the ontology knowledge set in the corresponding field; Described semantic matches unit be connected the semantic reasoning unit and all connect described standard body knowledge base, described step (3) specifically may further comprise the steps:
(31) described semantic matches and reasoning module receive after the searching keyword, described semantic matches unit carries out semantic matches according to described standard body knowledge base to keyword to be processed, and the semantic matches result set is submitted to described semantic reasoning unit;
(32) described semantic reasoning unit carries out semantic reasoning to described semantic matches result set and processes, and obtains the semantic reasoning result set, and described semantic reasoning result set is sent to described index data base.
Be somebody's turn to do based on multidimensional is semantic and realize that the visual network retrieval present in the method for control, described semantic matches is processed, and is specially: according to the specific keyword set in this area, itself and searching keyword are carried out semantic similarity calculating, realize semantic matches.
Should realize that the visual network retrieval presented in the method for control based on multidimensional is semantic, described semantic reasoning is processed, and is specially: according to the ontology knowledge in the specific area, draw the inference rule in this field, utilize rule that the semantic matches result is carried out reasoning, obtain the semantic reasoning result set.
Should realize that the visual network retrieval presented in the method for control based on multidimensional is semantic, described step (5) specifically may further comprise the steps:
(51) described multidimensional rule unit calculates the semantic distance between the keyword in the described semantic indexing result set;
(52) the regular unit of described multidimensional becomes the indexed results clustering according to described semantic distance the data result of a plurality of dimension many levels.
Should realize that the visual network retrieval presented in the method for control based on multidimensional is semantic, described step (51) specifically may further comprise the steps:
(51-1) the described multidimensional rule unit nearest public ancestor node of searching a plurality of keywords in the described semantic indexing result set;
(51-2) described multidimensional rule unit calculates the distance between each keyword and the described public ancestor node recently;
(51-3) described multidimensional rule unit with between each keyword and described public ancestor node recently apart from sum as the semantic distance between the keyword in the semantic indexing result set.
Should realize that the visual network retrieval presented in the method for control based on multidimensional is semantic, described step (52) specifically may further comprise the steps:
(52-1) relation between search key and the semantic distance is analyzed according to the semantic distance between the described keyword in the regular unit of described multidimensional;
(52-2) the regular unit of described multidimensional launches dimension and level under the deterministic retrieval result to the concentrated a certain dimension of multidimensional data;
(52-3) each retrieval set is synthesized the data result with a plurality of dimension many levels.
Adopted the visual network retrieval based on the multidimensional semanteme of this invention to present system and present control method, this system comprises querying server, semantic matches and reasoning module, index data base, semantic indexing result set, minute regular unit of dimension and multidimensional consequence display unit, thereby can utilize semantic matches and reasoning module that described keyword is carried out semantic matches and reasoning, the Ontology index is set up and preserved to index data base according to the semantic matches of obtaining and the reasoning results collection; Multidimensional rule unit becomes the multi-level data result of various dimensions according to the semantic distance of keyword in the semantic indexing result set with the indexed results clustering; Present to the user by the multidimensional consequence display unit at last, be beneficial to the user based on the candidate search of various dimensions as a result in the appearance form, navigate to rapidly the objective result of retrieval, effectively distinguish the different semantic of one text information, improve recall precision, and system architecture is simple, with low cost, the method application mode is easy, and the visual network retrieval based on the multidimensional semanteme that has wide range of applications presents system and presents control method.
Description of drawings
Fig. 1 is the structural representation that presents system based on the visual network retrieval of multidimensional semanteme of the present invention.
Fig. 2 is the process flow diagram of retrieving the specific embodiment of the method that presents control based on the semantic realization of multidimensional visual network of the present invention.
Fig. 3 is the process flow diagram that the retrieval of multidimensional semantic space in the embodiment of the invention presents module.
Fig. 4 is the sequential chart that presents system embodiment among the present invention based on the visual retrieval of multidimensional semantic space.
Embodiment
In order more clearly to understand technology contents of the present invention, describe in detail especially exemplified by following examples.
See also shown in Figure 1ly, be the structural representation that presents system based on the visual network retrieval of multidimensional semanteme of the present invention.
In one embodiment, this system comprises querying server, semantic matches and reasoning module, index data base, semantic indexing result set, minute regular unit of dimension and multidimensional consequence display unit.Wherein, querying server is in order to provide user search keyword input interface; Semantic matches is connected described querying server with reasoning module, according to the knowledge collection in the association area keyword semanteme is mated and reasoning; Index data base connects respectively described querying server and semantic matches and reasoning module, with thinking that searching key word provides corresponding Search Results; The semantic indexing result set connects described index data base, in order to preserve the indexed results collection corresponding with searching key word; Minute regular unit of dimension connects respectively described semantic indexing result set and semantic matches and reasoning module, according to the semantic distance of keyword in the semantic indexing result set, the indexed results clustering is become many levels data result on a plurality of dimensions; The multidimensional consequence display unit then connects described minute ties up regular unit, in order to present the many levels data result on described a plurality of dimension to the user.
Utilize the described system of this embodiment to realize that based on multidimensional is semantic the visual network retrieval presents the method for control, may further comprise the steps:
(1) described querying server receives searching keyword, and judges whether complex sentence of keyword, if, then enter step (2), if not, then enter step (3);
(2) described querying server carries out the participle filtration treatment, and comprises the keyword character string of separatrix to described index data base output, then enters step (3);
(3) described semantic matches and reasoning module carry out semantic matches and reasoning to described keyword, and the semantic reasoning result set is sent to described index data base;
(4) the Ontology index is set up and preserved to described index data base according to the semantic matches of obtaining and the reasoning results collection, and the indexed results collection of semantic matches and the reasoning results collection is sent to described minute ties up regular unit;
(5) multidimensional rule unit is according to the semantic distance of keyword in the described semantic indexing result set, with the data mode that the indexed results clustering becomes to have a plurality of dimensions, the data result of described data mode cluster many levels on each dimension;
(6) the multidimensional consequence display unit presents many levels data result on a plurality of dimensions to the user.
Wherein, querying server described in the step (2) carries out the participle filtration treatment, and comprise the keyword character string of separatrix to the output of described index data base, be specially: described querying server carries out respectively participle and filtration treatment according to the different language type of keyword, and output comprises the keyword character string of separatrix.
In a kind of more preferably embodiment, described semantic matches and reasoning module comprise standard body knowledge base, semantic matches unit and semantic reasoning unit.Wherein, standard body knowledge base stores the ontology knowledge set in the corresponding field; The semantic matches unit connects described standard body knowledge base, obtains the semantic matches rule of keyword according to described ontology knowledge set, the lang justice of going forward side by side coupling; The semantic reasoning unit connects described standard body knowledge base, obtains the semantic reasoning rule of keyword according to described ontology knowledge set, the lang justice of going forward side by side reasoning.
Utilize this more preferably the described system of embodiment realize that based on multidimensional is semantic the visual network retrieval presents in the method for control, described step (3) specifically may further comprise the steps:
(31) described semantic matches and reasoning module receive after the searching keyword, described semantic matches unit carries out semantic matches according to described standard body knowledge base to keyword to be processed, and the semantic matches result set submitted to described semantic reasoning unit, described semantic matches is processed, be specially: according to the specific keyword set in this area, itself and searching keyword are carried out semantic similarity calculating, realize semantic matches;
(32) described semantic reasoning unit carries out semantic reasoning to described semantic matches result set and processes, and obtains the semantic reasoning result set, and described semantic reasoning result set is sent to described index data base.Wherein, described semantic reasoning is processed, and is specially: according to the ontology knowledge in the specific area, draw the inference rule in this field, utilize rule that the semantic matches result is carried out reasoning, obtain the semantic reasoning result set.
In a kind of further preferred embodiment, described step (5) specifically may further comprise the steps:
(51) described multidimensional rule unit calculates the semantic distance between the keyword in the described semantic indexing result set;
(52) the regular unit of described multidimensional becomes the indexed results clustering according to described semantic distance the data result of a plurality of dimension many levels.
In a kind of preferred embodiment, described step (51) specifically may further comprise the steps:
(51-1) the described multidimensional rule unit nearest public ancestor node of searching a plurality of keywords in the described semantic indexing result set;
(51-2) described multidimensional rule unit calculates the distance between each keyword and the described public ancestor node recently;
(51-3) described multidimensional rule unit with between each keyword and described public ancestor node recently apart from sum as the semantic distance between the keyword in the semantic indexing result set.
And described step (52) specifically may further comprise the steps:
(52-1) relation between search key and the semantic distance is analyzed according to the semantic distance between the described keyword in the regular unit of described multidimensional;
(52-2) the regular unit of described multidimensional launches dimension and level under the deterministic retrieval result to the concentrated a certain dimension of multidimensional data;
(52-3) each retrieval set is synthesized the data result with a plurality of dimension many levels.
In actual applications, the visual retrieval based on the multidimensional semantic space that provides of the present invention presents in the system, the Semantic Similarity of query expansion keyword is calculated, semantic distance between two keywords can be understood as two nodes, and nearest public ancestors' node that the semantic distance between two nodes refers to two nodes divides the path that is clipped to these two nodes sum.The minor increment of calculating two nodes namely finds nearest public ancestors' node, then calculates to divide to be clipped to two distances between the node, is required apart from addition with two at last.
In the Semantic Clustering algorithm, adopt Multidimensional numerical to calculate the semantic distance of search key, retrieve by analysis two semantic relations between the keyword, can launch a certain dimension that multidimensional data is concentrated, and then the deterministic retrieval result is the data result on which level of which dimension.
The visual retrieval based on the multidimensional semantic space that Fig. 1 has illustrated the present invention to realize presents systematic schematic diagram, comprises querying server, standard body knowledge base, semantic matches unit, semantic reasoning unit, index data base, semantic indexing result set, minute dimension rule and multidimensional consequence display unit.Querying server provides the interface of user search keyword; Standard body knowledge base is preserved the ontology knowledge set in this field, for semantic matches unit and semantic reasoning unit provide semantic matches and inference rule; Index data base provides corresponding Search Results for searching key word; The semantic indexing result set has been preserved the indexed results collection corresponding with searching key word; Divide the semantic distance of the regular unit of dimension according to keyword among the semantic indexing result, with the data mode that the indexed results clustering becomes to have a plurality of dimensions, the data result of cluster many levels on a plurality of dimensions.
What Fig. 2 represented is the embodiment process flow diagram of method of the present invention, mainly comprises the steps.
Step 201 receives searching keyword, and the keyword of judging input complex sentence whether, if then carry out step 202; Otherwise, proceed step 203, send to index data base.
Step 202 is carried out respectively different participles, filtration treatment by the different language type of searching keyword, exports the character string of a series of separatrixes such as Chinese word, English word and numeric string.
Step 203, according to the content of index data base, index draws the search result set corresponding with inquiring about crucial participle.
Step 204, semantic reasoning: according to the ontology knowledge in the specific area, draw the inference rule in this field, utilize rule to carry out reasoning to describing the result, draw the reasoning results collection; Semantic matches: the specific keyword set in result set and this area is carried out semantic similarity calculating and semantic matches by inference.
Step 205, minute regular unit of dimension is according to the semantic distance of keyword among the semantic indexing result, with the data mode that the indexed results clustering becomes to have a plurality of dimensions, the data result of cluster many levels on a plurality of dimensions.
Step 206, the result presents module, and the data mode of Search Results according to multidimensional presented.
Fig. 3 is the process flow diagram that the retrieval of multidimensional semantic space in the embodiment of the invention presents module, mainly comprises the steps.
Step 301 according to the index content that index data base has been set up, draws the search result set corresponding with inquiring about crucial participle.
Fig. 4 is the sequential chart that presents system embodiment among the present invention based on the visual retrieval of multidimensional semantic space, mainly comprises the steps.
Step 401, querying server sends query requests to the semantic extension module;
Step 402 and step 403, the semantic extension module is expanded searching key word according to standard body knowledge base, the query requests that is expanded keyword, and it is sent to the index data library module;
Step 404, index data library module, index draw the search result set corresponding with inquiring about crucial participle.
Step 405, index data library module send to a minute dimension with search result set and present module.
Step 406, divide dimension to present module computing semantic distance, the method that the Semantic Similarity of search key is calculated is, divide the path that is clipped to these two nodes to add up nearest public ancestors' node of two nodes, so, the key of calculating the minor increment of two nodes is to locate nearest public ancestors' node, then calculates to divide to be clipped to two distances between the node, will be apart from addition required.
Step 407, divide dimension to present module classification, cluster search results, adopt Multidimensional numerical to calculate the semantic distance of search key, the relation between search key and the semantic distance by analysis, can launch a certain dimension that multidimensional data is concentrated, and then the deterministic retrieval result is the data result on which level of which dimension.
Step 408, a minute dimension present module Search Results are organized into semantic cyberrelationship, and show according to the data mode of various dimensions.
Adopted the visual network retrieval based on the multidimensional semanteme of this invention to present system and present control method, this system comprises querying server, semantic matches and reasoning module, index data base, semantic indexing result set, minute regular unit of dimension and multidimensional consequence display unit, thereby can utilize semantic matches and reasoning module that described keyword is carried out semantic matches and reasoning, the Ontology index is set up and preserved to index data base according to the semantic matches of obtaining and the reasoning results collection; Multidimensional rule unit becomes the multi-level data result of various dimensions according to the semantic distance of keyword in the semantic indexing result set with the indexed results clustering; Present to the user by the multidimensional consequence display unit at last, be beneficial to the user based on the candidate search of various dimensions as a result in the appearance form, navigate to rapidly the objective result of retrieval, effectively distinguish the different semantic of one text information, improve recall precision, and system architecture is simple, with low cost, the method application mode is easy, and the visual network retrieval based on the multidimensional semanteme that has wide range of applications presents system and presents control method.
In this instructions, the present invention is described with reference to its specific embodiment.But, still can make various modifications and conversion obviously and not deviate from the spirit and scope of the present invention.Therefore, instructions and accompanying drawing are regarded in an illustrative, rather than a restrictive.
Claims (10)
1. the visual network retrieval based on the multidimensional semanteme presents system, it is characterized in that, described system comprises:
Querying server is in order to provide user search keyword input interface;
Semantic matches and reasoning module connect described querying server, according to the knowledge collection in the association area keyword semanteme are mated and reasoning;
Index data base connects respectively described querying server and semantic matches and reasoning module, with thinking that searching key word provides corresponding Search Results;
The semantic indexing result set connects described index data base, in order to preserve the indexed results collection corresponding with searching key word;
Minute regular unit of dimension connects respectively described semantic indexing result set and semantic matches and reasoning module, according to the semantic distance of keyword in the semantic indexing result set, the indexed results clustering is become many levels data result on a plurality of dimensions;
The multidimensional consequence display unit connects described minute and ties up regular unit, in order to present the many levels data result on described a plurality of dimension to the user.
2. the visual network retrieval based on the multidimensional semanteme according to claim 1 presents system, it is characterized in that, described semantic matches and reasoning module comprise:
Standard body knowledge base stores the ontology knowledge set in the corresponding field;
The semantic matches unit connects described standard body knowledge base, obtains the semantic matches rule of keyword according to described ontology knowledge set, the lang justice of going forward side by side coupling;
The semantic reasoning unit connects described standard body knowledge base, obtains the semantic reasoning rule of keyword according to described ontology knowledge set, the lang justice of going forward side by side reasoning.
3. one kind is utilized system claimed in claim 1 to realize that based on multidimensional is semantic the visual network retrieval presents the method for control, it is characterized in that, described method may further comprise the steps:
(1) described querying server receives searching keyword, and judges whether complex sentence of keyword, if, then enter step (2), if not, then enter step (3);
(2) described querying server carries out the participle filtration treatment, and comprises the keyword character string of separatrix to described index data base output, then enters step (3);
(3) described semantic matches and reasoning module carry out semantic matches and reasoning to described keyword, and the semantic reasoning result set is sent to described index data base;
(4) the Ontology index is set up and preserved to described index data base according to the semantic matches of obtaining and the reasoning results collection, and with the indexed results collection of semantic matches and the reasoning results collection, the indexed results collection is sent to described minute ties up regular unit;
(5) multidimensional rule unit is according to the semantic distance of keyword in the described semantic indexing result set, with the data mode that the indexed results clustering becomes to have a plurality of dimensions, the data result of described data mode cluster many levels on each dimension;
(6) the multidimensional consequence display unit presents many levels data result on a plurality of dimensions to the user.
4. according to claim 3ly realize that based on multidimensional is semantic the visual network retrieval presents the method for control, it is characterized in that, described querying server carries out the participle filtration treatment, and comprises the keyword character string of separatrix to described index data base output, is specially:
Described querying server carries out respectively participle and filtration treatment according to the different language type of keyword, and output comprises the keyword character string of separatrix.
5. according to claim 3ly realize that based on multidimensional is semantic the visual network retrieval presents the method for control, it is characterized in that, described semantic matches and reasoning module comprise standard body knowledge base, semantic matches unit and semantic reasoning unit, and described standard body knowledge base stores the ontology knowledge set in the corresponding field; Described semantic matches unit be connected the semantic reasoning unit and all connect described standard body knowledge base, described step (3) specifically may further comprise the steps:
(31) described semantic matches and reasoning module receive after the searching keyword, described semantic matches unit carries out semantic matches according to described standard body knowledge base to keyword to be processed, and the semantic matches result set is submitted to described semantic reasoning unit;
(32) described semantic reasoning unit carries out semantic reasoning to described semantic matches result set and processes, and obtains the semantic reasoning result set, and described semantic reasoning result set is sent to described index data base.
6. according to claim 5ly realize that based on multidimensional is semantic the visual network retrieval presents the method for control, it is characterized in that, described semantic matches is processed, and is specially:
According to the specific keyword set in this area, itself and searching keyword are carried out semantic similarity calculating, realize semantic matches.
7. according to claim 5ly realize that based on multidimensional is semantic the visual network retrieval presents the method for control, it is characterized in that, described semantic reasoning is processed, and is specially:
According to the ontology knowledge in the specific area, draw the inference rule in this field, utilize rule that the semantic matches result is carried out reasoning, obtain the semantic reasoning result set.
8. each describedly realizes that based on multidimensional is semantic the visual network retrieval presents the method for control in 7 according to claim 3, it is characterized in that, described step (5) specifically may further comprise the steps:
(51) described multidimensional rule unit calculates the semantic distance between the keyword in the described semantic indexing result set;
(52) the regular unit of described multidimensional becomes the indexed results clustering according to described semantic distance the data result of a plurality of dimension many levels.
9. according to claim 8ly realize that based on multidimensional is semantic the visual network retrieval presents the method for control, it is characterized in that, described step (51) specifically may further comprise the steps:
(51-1) the described multidimensional rule unit nearest public ancestor node of searching a plurality of keywords in the described semantic indexing result set;
(51-2) described multidimensional rule unit calculates the distance between each keyword and the described public ancestor node recently;
(51-3) described multidimensional rule unit with between each keyword and described public ancestor node recently apart from sum as the semantic distance between the keyword in the semantic indexing result set.
10. according to claim 9ly realize that based on multidimensional is semantic the visual network retrieval presents the method for control, it is characterized in that, described step (52) specifically may further comprise the steps:
(52-1) relation between search key and the semantic distance is analyzed according to the semantic distance between the described keyword in the regular unit of described multidimensional;
(52-2) the regular unit of described multidimensional launches dimension and level under the deterministic retrieval result to the concentrated a certain dimension of multidimensional data;
(52-3) each retrieval set is synthesized the data result with a plurality of dimension many levels.
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