Publication:
SEAN: multi-ontology semantic annotation for highly accurate closed domains

Thumbnail Image
Identifiers
URI: https://hdl.handle.net/10016/14301
ISSN: 1992-1950
Files
SEAN_IJPS_2011.pdf (356.92 KB)
Publication date
2011-03-18
Defense date
Authors
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Academic Journals
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
Semantic annotation has gained momentum with the emergence of the current user-generated content paradigm on the Web. The ever-growing quantity of collaborative data sources has resulted in the requirement for efficient approaches to create, integrate and retrieve information more efficiently in an environment where the users ask for accurate information. The main research challenge of the current work is using manual semantic annotation in a highly accurate closed domain, a conceptual domain with a minimal set of concepts where the benefits of adding semantics, search efficiency, optimization and the cost estimations are viable. This paper presents a semantic annotation approach for highly accurate closed domain based on multi-ontology annotation (domain and application ontologies).
Description
Keywords
Semantic annotation, Semantic search, Highly accurate closed domains, Multi-ontology
Bibliographic citation
International Journal of the Physical Sciences, (March 2011), 6(6), 1440-1451
Collections
DI - SOFTLAB - Artículos de Revistas