37 results about "Topic Maps" patented technology

An apparatus and method for content management allows a large volume of incoming content to be classified and retrieved in real time. Content items are automatically analyzed and a signature generated for each item. Content items are classified into topic clusters by comparing each item's signature with the signature of previously defined topics. The content items are clustered based on the similarity of their signatures to the topic signatures. Topics are defined through selection of exemplary content items. By means of a graphical user interface, an operator defines the topic by selecting the exemplary articles from a listing. The operator may further define the topic by specifying attributes such as source, currency, and type. A graphical topic map allows the user to discern the relatedness of the various topics.

A topic map based indexing apparatus analyzes community Q / A lists to acquire Q / A analysis information, removes redundant answers depending on the Q / A analysis information, removes insignificant answers based on the degree of reliability, ranks answer lists, and extracts the highest ranking answer as a best answer, to thereby store, in a community Q / A topic map, index information containing the community Q / A lists and the Q / A analysis information. A topic map based searching apparatus analyzes a user question to acquire question analysis information, searches similar questions from community Q / A lists belonging to a specific topic node of a pre-stored community Q / A topic map, ranks the searched similar questions depending on the question analysis information, removes redundant answers among answers to the ranked similar questions, ranks the answers, and extracts the highest ranking answer as a best answer.

A software interface to increase the efficiency for reading, abstracting of information and locating material within an electron publication, pursuant to which author content and / or researcher content may be quickly searched, accessed and stored on an academic tool utilizing e-book technology. Topic mapping tools may be further used to enhance searching to link and cross reference terminology. For example, such tools are described in ISO / IEC 13250:2000 and more recently extended into XML format in XTM specifications. W3C® standards, such as DAML+OIL and topic map standards as well as functionally similar standards may also be utilized.

A computer implemented method, system and computer program product for managing reusable software assets based on software requirements. A topic map can be expressed utilizing semantic web technology in order to model a relationship between a software requirement and a reusable software asset. The relationship includes the software assets needed to satisfy the software requirement, relationship between the software assets, and the location of the software assets. The semantic web representation can then leverage a standard web based query mechanism to allow meaningful queries to suggest best software assets to be utilized with the software requirement. The semantic web representation can also leverage standard XML (extensible markup language) tooling to provide consistence checking and inferencing of new data.

A method for implementing topic map meta models of a service oriented architecture (SOA) industry model repository (IMR) comprising a meta model service associated with a physical asset repository. The meta model service includes at least one topic map meta model with data specific to a particular topic or industry vertical included within an information model repository common meta-meta model, and the information model repository common meta-meta model included within a meta-meta-meta model with a topic map based index. The method comprises assigning topics, occurrences and attributes to the at least one topic map meta model with data specific to a particular topic or industry vertical; converting topics of the at least one topic map meta model with data specific to a particular topic or industry vertical into resource description framework triples; and persisting the resource description framework triples into a resource description framework repository.

An apparatus for automatically analyzing the impact of changing a business requirement on an IT infrastructure of an enterprise. A request is received to perform an analysis of an impact on the enterprise by changing a particular instance of the business requirement. A model repository is queried to determine which IT assets of the enterprise are impacted by changing the particular instance of the business requirement. An impact relevant subset of a topic map is received from the model repository representing the impact on the enterprise by changing the particular instance of the business requirement that includes the particular instance requirement as a root node and only those specific assets impacted by changing the particular instance requirement as connected nodes. Then, the impact relevant subset of the topic map representing the impact on the enterprise by changing the particular instance of the business requirement is outputted on an output device.

A method for building a service oriented architecture industry model repository comprising: creating a meta-meta-meta model with a topic map based index; pre-populating the meta-meta-meta model with a topic map based index using the data from the physical asset repository and known relationships between topics, associations, and occurrences in topic maps within the meta model service; pre-populating an information model repository common meta-meta model comprising reusing a taxonomy specific to an industry vertical as a common ontology for the topic map based index; pre-populating the at least one topic map meta model with data specific to a particular topic or industry vertical from the physical asset repository; and pre-populating models of the at least one topic map meta model with data specific to a particular topic or industry vertical from the physical asset repository.

An apparatus for automatically analyzing the impact of changing a business requirement on an IT infrastructure of an enterprise. A request is received to perform an analysis of an impact on the enterprise by changing a particular instance of the business requirement. A model repository is queried to determine which IT assets of the enterprise are impacted by changing the particular instance of the business requirement. An impact relevant subset of a topic map is received from the model repository representing the impact on the enterprise by changing the particular instance of the business requirement that includes the particular instance requirement as a root node and only those specific assets impacted by changing the particular instance requirement as connected nodes. Then, the impact relevant subset of the topic map representing the impact on the enterprise by changing the particular instance of the business requirement is outputted on an output device.

A topic map based indexing apparatus analyzes community Q / A lists to acquire Q / A analysis information, removes redundant answers depending on the Q / A analysis information, removes insignificant answers based on the degree of reliability, ranks answer lists, and extracts the highest ranking answer as a best answer, to thereby store, in a community Q / A topic map, index information containing the community Q / A lists and the Q / A analysis information. A topic map based searching apparatus analyzes a user question to acquire question analysis information, searches similar questions from community Q / A lists belonging to a specific topic node of a pre-stored community Q / A topic map, ranks the searched similar questions depending on the question analysis information, removes redundant answers among answers to the ranked similar questions, ranks the answers, and extracts the highest ranking answer as a best answer.

The invention relates to a method for carrying out visualization on a cluster analysis result, belonging to the technical field of computer information processing. The method comprises the following step of: automatically generating a visualized topic map with visual and hierarchical information by utilizing characteristics of a cluster analysis result and semantic similarity relations of data information objects according to an information design plane layout method among classes and class members and between the classes and the class members in the cluster analysis result as well as plane layout data. The visualized method can fully show the semantic similarity relations among the intra-class members in the cluster result and improve the expression visualization and comprehensibility of the cluster analysis result and is beneficial to discovering a new mode and new knowledge from the cluster analysis result.

The invention relates to a visual label topic map-based pilot method of a digital library. The visual label topic map-based pilot method includes the steps of 1, defining different topic classes, defining subclasses, namely label topics, under each topic class, and then defining examples of the subclasses; 2, defining association types of the label topics; 3, defining information resource entities, namely bottoms of the label topic maps; 4, creating label topic maps; 5, constructing a semantic network to show semantic associations, allowing the label topic maps to be visual. In this way, recall ratio and precision ratio of information retrieval are increased, and interdisciplinary knowledge sharing and resource location is facilitated.

A method, system and computer program for annotating a text for a user comprising a step executed by a developer to create a Topic Map summarizingthe topics of interest of the user; the developer further creating a data structure, a Topic class for each topic; an Annotator program executing on the computer automatically using the Topic Map to create two linked user dictionaries, a Topic Dictionaryreflecting Topic names and a Traversal Dictionary, preferably FSA-based dictionaries, reflecting the knowledge structure of a topic; the developer optional linking actions with topic types;the Annotator automatically instanciatingthe topic data structure of the topics found in the text using the dictionariesand actions when they have been previously linked to topic types;; the Annotator automatically attaching the instanciatedTopic data structure to the text; the developer creating a GUI allowing the user to access and interact with the text annotations.

The invention relates to the technical field of computers, and discloses a topic map generation method and device suitable for text analysis or data mining, equipment and a computer storage medium. Inthis way, the invention provides a new method for enabling the application of the probability topic model LDA to reach a brand new level, so each theme can become a node in a semantic network; the complex semantic association among the topics is reflected more deep; the knowledge graph and the traditional knowledge graph are mutually corresponding and complemented; the theme map having an independent application value is achieved; Therefore, the efficiency and accuracy of traditional search and recommendation can be effectively improved, the defects of depth and visualization of traditional data mining or text analysis can be overcome, potential semantic association difficult to find by a traditional method can be mined out, real scientific discovery is achieved, and particularly, the method has a huge potential value in data mining.

A method for building a service oriented architecture industry model repository comprising: creating a meta-meta-meta model with a topic map based index; pre-populating the meta-meta-meta model with a topic map based index using the data from the physical asset repository and known relationships between topics, associations, and occurrences in topic maps within the meta model service; pre-populating an information model repository common meta-meta model comprising reusing a taxonomy specific to an industry vertical as a common ontology for the topic map based index; pre-populating the at least one topic map meta model with data specific to a particular topic or industry vertical from the physical asset repository; and pre-populating models of the at least one topic map meta model with data specific to a particular topic or industry vertical from the physical asset repository.

The invention discloses a data relationship mining method and device based on a Mysql database log. The method comprises the following steps: obtaining and storing relational data of a Mysql database;acquiring and caching a data operation log according to the relational data; reading the data operation log, and constructing a data knowledge network graph; establishing a data topic map according to the data knowledge network map; and displaying the data topic map and mining a data relationship. According to the invention, the learning model is established in an artificial intelligence mode byanalyzing the operation log of the Mysql data, and the data relationship is automatically analyzed and the data value is mined through the daily operation of the informatization system; the uncertainty caused by manual analysis is liberated to a certain extent, and the resource cost is reduced. In addition, the invention is non-inductive and transparent to business personnel; through automatic analysis of machine learning, the relationship of data subjects can be clearly analyzed for business personnel, and the business personnel can be helped to quickly construct a data knowledge graph.

The present invention provides a method and system for converting an XML artifact into a Topic Map instance. The method includes consolidating, by a schema consolidation module, an XML schema of the XML artifact; extracting, by an extracting module, a topic map model from the consolidated XML schema; and generating, by a converter, the topic map instance from the topic map model and the xml artifact.

The invention belongs to the field of educational technology and discloses a knowledge aggregation method and a system based on a subject map, which constructs an element knowledge element of the subject map based on a standard knowledge base; constructs a theme map based on a theme; calculates the weight of knowledge element and knowledge element, and calculates the weight of knowledge element and learning resource; calculates the association weights between knowledge tuples and knowledge elements, and calculates the association weights between knowledge tuples and knowledge tuples; defines the deviation degree of personalized topic map and calculates the similarity between topic maps. The invention has the advantages of realizing the organic association of the user's personalized knowledge structure and knowledge, as well as the subject and learning resources, and providing accurate and targeted knowledge service through the association of knowledge elements or knowledge tuples, thereby improving the utilization efficiency of knowledge and realizing the positive effect of knowledge aggregation.

The invention provides a text topic generation method and device and electronic equipment, and relates to the technical field of intelligent search. The method comprises the steps: carrying out entitymining on a to-be-processed text, and obtaining entities contained in the to-be-processed text; determining each candidate entity corresponding to each entity contained in the to-be-processed text inthe knowledge graph through an entity link, clustering each candidate entity, and determining a core entity set corresponding to the to-be-processed text; based on the matching degree of each keywordin the to-be-processed text and each reference topic in a preset topic map, determining each candidate topic contained in the to-be-processed text; and according to the relevance between each core entity in the core entity set and the to-be-processed text and the relevance between each candidate topic and the to-be-processed text, obtaining the topic of the to-be-processed text from the core entity set and each candidate topic. Therefore, through the text topic generation method, more implicit topic information is mined, and the accuracy of text topic generation is improved.

The invention relates to the technical field of speech semantics, and discloses a text correlation detection method, device and equipment and a storage medium. The method comprises the following steps: respectively obtaining a first keyword of a first text and a second keyword of a second text, and constructing a topic map based on the first keyword and the second keyword; obtaining a receiving matrix of the topic map based on the matching features, and inputting the matching features and the receiving matrix into a map convolution model for analysis to obtain the correlation between the first text and the second text. The global matching between texts is realized, and the flexibility and accuracy of correlation matching are improved.

Included are embodiments for providing a topic map. At least one embodiment of a method includes receiving a plurality of web pages, the web pages including metadata, extracting at least a portion of the metadata from the web pages, and creating at least one topic associated with the web pages, the at least one topic corresponding to at least a portion of the metadata.

The invention provides a text search method and device, a server and a storage medium, and relates to the technical field of information processing. The text search method comprises the steps of presetting a target database comprising a plurality of text vectors, a plurality of to-be-matched texts and theme maps corresponding to the to-be-matched texts, thereby obtaining a target text matrix composed of the text vectors corresponding to input texts according to the target database; constructing a target topic map corresponding to the input text by utilizing the target text matrix; obtaining aplurality of initial matching texts corresponding to the input text and a theme map corresponding to each initial matching text in a target database; and according to the target topic map and the topic map corresponding to each initial matching text, generating a search result corresponding to the input text. Compared with the prior art, when text search is carried out, the to-be-matched text having similar meanings with the input text can also be brought into the search range, thereby improving the search accuracy of the text.

The invention provides a user portrait modeling method and system in a text dialogue based on topic detection. The user portrait modeling method comprises the following steps: obtaining a plurality of topics in a text inputted by a user through a topic recognition system, wherein the plurality of topics comprise main topics and secondary topics; mapping the plurality of topics into a topic relationship diagram with a graph structure to form a topic map; updating the topic map through logic rules or a machine learning method to obtain a user portrait of the user. The user portrait modeling method and system in the text dialogue based on the topic detection, provided by the invention, have the benefits that the topics in the user dialogue text are divided into the main topics and the secondary topics, and the topic map is updated through establishing the topic map for the main topics and the secondary topics according to the topics included in a dialogue content of the user, so that the user portrait of the user is obtained; according to the user portrait, user personality factors are considered in the man-machine dialogue process, so that a man-machine dialogue is more intelligent.

The invention relates to the technical field of computers, and discloses a topic map generation method and device suitable for text analysis or data mining, equipment and a computer storage medium. Inthis way, the invention provides a new method for enabling the application of the probability topic model LDA to reach a brand new level, so each theme can become a node in a semantic network; the complex semantic association among the topics is reflected more deep; the knowledge graph and the traditional knowledge graph are mutually corresponding and complemented; the theme map having an independent application value is achieved; Therefore, the efficiency and accuracy of traditional search and recommendation can be effectively improved, the defects of depth and visualization of traditional data mining or text analysis can be overcome, potential semantic association difficult to find by a traditional method can be mined out, real scientific discovery is achieved, and particularly, the method has a huge potential value in data mining.

A method for dynamically processing and playing multimedia contents and a multimedia play apparatus are provided. A topic map is generated based on a title. The topic map has a plurality of nodes, and each node corresponds to one of the multimedia contents. Multiple node groups are obtained through permutation and combination of these nodes. A target group that matches a constraint is found among these node groups. A play order of each node in the target group is determined according to at least one reward table. One or more multimedia contents included in the target group are processed and played according to the play order.

The invention belongs to the field of educational technology and discloses a subject map conflict detection method and system based on knowledge association. The method comprises the following steps of calculating the correlation Rk between knowledge elements in the subject map based on a method of calculating the correlation relation of knowledge elements based on the path and depth; calculatingthe relativity Rr between the resource groups (including knowledge elements) associated with the knowledge elements in the topic map, and calculating the similarity between the knowledge elements withthe resource description information associated with the knowledge elements; calculating the deviation consistency between Rk and Rr, and calculating the degree of deviation consistency between Rk and Rr by calculating the correlation between knowledge elements based on path and depth and by calculating the correlation between Rk and Rr by using the word vector constructed by the multi-dimensional description information tag of resource group. The invention helps to enhance the correlation of the knowledge structure combing and the resources associated with the knowledge, and helps learners to better and faster construct the personalized knowledge system.

The invention discloses an evaluation method, system and device of a theme map. The method of the invention includes the following steps: verifying the document classification of the theme map by using the small-world characteristic; verifying the important documents of the theme map by using the scale-free characteristic ; Carry out expert verification on the correlation between topics in the topic map; the system includes a document classification verification module, an important document verification module and a correlation verification module; the device includes a processor and a memory. The method of the present invention utilizes the small-world characteristic to verify the classification of documents and the scale-free characteristic to verify the important documents of the theme map, so that manual participation is not required when performing document classification verification and important document verification of the theme map, saving manpower overhead. The invention can be widely used in the field of data mining.

The invention discloses a theme map expansion based knowledge resource organizing method, which is characterized by including: organizing resources to build resource indexes, and providing a search architecture based on themes on the basis of a map architecture formed by knowledge resources and theme incidence relations therein. In the search architecture, themes of documents are organized to be index entry, document collection is divided by combining internal relations of succession, correlation, polysemy of the document themes and multi-label classifying technology, proper partition is selected by a partition selecting method based on threshold value so as to guide building and inquiring of the indexes. During inquiring, inquiry results are acquired from a route to the relevant index partition and are gathered and organized according to the theme relations, and resource utilization rate and inquiring efficiency are improved sufficiently on the premise of guaranteeing quality of the inquiry quality. Further, by the index partition gathering and breaking technology, the index structure is further optimized and quality of the inquiry results and inquiring efficiency are improved.