A survey and classification of semantic search approaches
Author(s) -
Christoph Mangold
Publication year - 2007
Publication title -
international journal of metadata semantics and ontologies
Language(s) - English
Resource type - Journals
eISSN - 1744-263X
pISSN - 1744-2621
DOI - 10.1504/ijmso.2007.015073
Subject(s) - computer science , information retrieval , semantic search , natural language processing , artificial intelligence , semantic web
A broad range of approaches to semantic document retrieval has been developed in the context of the Semantic Web. This survey builds bridges among them. We introduce a classification scheme for semantic search engines and clarify terminology. We present an overview of ten selected approaches and compare them by means of our classification criteria. Based on this comparison, we identify not only common concepts and outstanding features, but also open issues. Finally, we give directions for future application development and research.
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