Concept Search: Semantics Enabled Information Retrieval
نویسنده
چکیده
In this paper we present a novel approach, called Concept Search, which extends syntactic search, i.e., search based on the computation of string similarity between words, with semantic search, i.e., search based on the computation of semantic relations between concepts. The key idea of Concept Search is to operate on complex concepts and to maximally exploit the semantic information available, reducing to syntactic search only when necessary, i.e., when no semantic information is available. The experimental results show that Concept Search performs at least as well as syntactic search, improving the quality of results as a function of the amount of available semantics.
منابع مشابه
Information Retrieval as Semantics Transformation
In this paper we present Information Retrieval as a semantics transformation problem. We describe a general theory for deriving concepts, and discuss 2 special cases: the vector model and the set model. The vector model leads to concepts derived by latent semantic indexing using the singular value decomposition. The set model leads to Formal Concept Analysis. We discuss the relation between the...
متن کاملConcept-based Intelligent Information Retrieval in Digital Library
A digital library is a type of information retrieval system. The existing information retrieval methodologies generally have problems on keyword-search problem. We proposed a model to solve the problem by using concept-based approach (ontology) and metadata case base. This model consists of identifying domain concepts in user’s query and applying expansion to them. The system aims at contributi...
متن کاملConcept Search: Semantics Enabled Syntactic Search
Historically, information retrieval (IR) has followed two principally different paths that we call syntactic IR and semantic IR. In syntactic IR, terms are represented as arbitrary sequences of characters and IR is performed through the computation of string similarity. In semantic IR, instead, terms are represented as concepts and IR is performed through the computation of semantic relatedness...
متن کاملHierarchical Fuzzy Clustering Semantics (HFCS) in Web Document for Discovering Latent Semantics
This paper discusses about the future of the World Wide Web development, called Semantic Web. Undoubtedly, Web service is one of the most important services on the Internet, which has had the greatest impact on the generalization of the Internet in human societies. Internet penetration has been an effective factor in growth of the volume of information on the Web. The massive growth of informat...
متن کاملBilingual Information Retrieval with HyREX and Internet Translation Services
HyREX is the Hypermedia Retrieval Engine for XML . Its extensibility is based on the implementation of physical data independence; its query interface on the conceptual level consists of data types with respective vague search predicates. This concept enabled us to add search predicates for the data type text for doing bilingual text retrieval. Our implementation uses free Internet resources fo...
متن کامل