Abstract: Currently many issues related to the development of semantic indexing methods remain open. The problem of search pertinence increasing with a low time-complexity is one of the major research issues in Computer Science. Semantic search as an alternative solution to this problem has a high time complexity. This paper describes the use of agent-based approach to reduce the time complexity of constructing semantic indexes used for searching. Obvious, once created index must be stored in document. The second part of this paper describes an approach for inclusion of metadata in electronic documents which have such open document format as OpenXML or Open Document Format. The proposed approach enables to perform an effective semantic indexing and the semantic searching. Semantic indexing of electronic documents is intended to include special structure associated with the content of documents in its metadata. Most of the currently used electronic document formats do not permit the inclusion of additional information, on the contrary electronic documents open formats Office Open XML and OpenDocument? Format allow to solve this problem.

Keywords: Semantic indexing; Agent; Ontology; Document, Open XML; OpenDocument? Format; Metadata.

ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE: I.2.11 Distributed Artificial Intelligence; I.7 DOCUMENT AND TEXT PROCESSING: I.7.2 Document Preparation; I.7.3 Index Generation.

Link:

A SEMANTIC INDEXING OF ELECTRONIC DOCUMENTS IN OPEN FORMATS

Vyacheslav Bessonov, Viacheslav Lanin, George Sokolov

http://www.foibg.com/ijita/vol19/ijita19-2-p06.pdf