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 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 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.

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.

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 embodiment of the invention discloses a topic word mining method and device, an electronic device and a storage medium. The method comprises the following steps of receiving a query word inputted by a user, and obtaining at least one original topic word corresponding to the query word in a predetermined topic map; determining a basic information material recall set corresponding to all original theme words through a theme discrimination model in all pre-acquired information materials matched with the query words, wherein the basic information material recall set comprises at least one basic information material; in the basic information material recall set, mining the target topic word recall sets corresponding to all original topic words, wherein the target topic word recall set comprises at least one target topic word. According to the present invention, more topic words with higher writing value can be mined, so that a user can be helped to quickly select an appropriate focus point, and a more excellent article can be created within the shortest time.

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.

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.