Sciweavers

Share
CSE
2009
IEEE

Information Retrieval in Wikis Using an Ontology

11 years 6 months ago
Information Retrieval in Wikis Using an Ontology
This article addresses a question regarding relevant information in a social media such as a wiki that can contain huge amount of text, written in slang or in natural language, without necessarily observing a fixed terminology set. This text could not always be adherent to the discussed subject. The main motivation leads to the need of developing methods that would allow the extraction of relevant information in such scenario. A result system was designed upon ideas from the semantic Web combined with an adaptation of the classic vector model for information retrieval. The semantic information is not embedded in the media but within a structurally independent ontology. It was implemented using Java and a MySQL database. The objective was the achievement of, at least, 80% for recall and precision on the system results. The system was considered successful by achieving rates of 100% of recall and approximately 93% of precision.
Carlos Miguel Tobar, Alessandro Santos Germer, Jua
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where CSE
Authors Carlos Miguel Tobar, Alessandro Santos Germer, Juan Manuel Adán Coello, Ricardo Luís de Freitas
Comments (0)
books