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Traditional text mining techniques have weak ability to provide associated relations with rich semantics that is a foundation of the intelligent browsing of topics, discovery of semantic community and precise personalized recommendation in current Web and Knowledge Grid, etc. In this paper we propose an algorithm to generate and calculate the associated relations and their strengths between documents...
Intelligent browsing of topics is one of the key issues of the Web and the knowledge grid, which provides on-demand services to support knowledge discovery and innovation. In this paper, Background of topics composed by Associated Relations (BAR) between keywords belonging to one domain is developed to extend the topicspsila associated relations based on the element fuzzy cognitive maps (E-FCMs),...
Textual Knowledge Flow (TKF) provides an effective technique and theoretical support for intelligent browsing. In order to realize the intelligent browsing of topics in Web or Library, TKF based intelligent browsing of topics is proposed. Firstly, topics are represented by Element Fuzzy Cognitive Maps (E-FCMs); then semantic values of concepts and semantic influences of relations are calculated based...
Single Text Combinatorial Semantic Field (STCSF) is proposed to analyze semantic characteristics of a single text. By the acquisition of term combinatorial relations, especially non-neighbouring ones, and coefficients of term combinatorial relations in a single text, STCSF can be constructed. By visualization of STCSF, STCSF has the capabilities of intuitionistic semantic representation, composition,...
This paper proposes an approach to automatically generate semantics for scientific e-documents, and presents its applications in e-document understanding, question answering and question refinement. The approach uses not only keywords and their relations in e-documents, but also the implied meaning of co-occurred keywords that is hard to be exploited, represented and derived by previous semantic representation...
Scientific texts domain keyword is one of the basic elements of the text high-level semantics acquisition, domain ontology building and the knowledge representation in semantic grid, knowledge grid and escience environment. It is also the indispensable foundation and prerequisite work of Web scientific texts automatic classification, clustering and personalized services. TFIDF based TDDF formula is...
Scientific texts domain keyword is one of the basic elements of the text high-level semantics acquisition, domain ontology building and the knowledge representation in semantic grid, knowledge grid and escience environment. It is also the indispensable foundation and prerequisite work of Web scientific texts automatic classification, clustering and personalized services. TFIDF based TDDF formula is...
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