DocumentCode
3079150
Title
Enhancing search results of concept annotated documents
Author
Abdelhamid, Ehab ; Rafea, Ahmed ; El-Beltagy, Samhaa R.
Author_Institution
Cairo Univ., Giza, Egypt
fYear
2009
fDate
10-12 Aug. 2009
Firstpage
330
Lastpage
335
Abstract
Concepts describing documents can offer a way for semantically grounding these documents. The goal of the work presented in this paper is to investigate making use of such concepts and the existence of an ontology in order to enhance search results in a known domain. So in this work we experiment with various techniques to achieve this goal. Experiments presented in this paper show that relying only on concept indexing and matching leads to degraded search results. This paper proposes an integrated approach based on augmenting a classical search technique with a concept based one which utilizes semantic information to improve the search results. A detailed discussion of the reported experimental results is also presented.
Keywords
indexing; information retrieval; ontologies (artificial intelligence); search engines; semantic Web; text analysis; concept annotated document; concept indexing; concept matching; information retrieval; intelligent search engine; ontology; semantic information; text analysis; Degradation; Grounding; Indexing; Ontologies; Information Retrieval; Intelligent Search Engine; Ontology based Search;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Reuse & Integration, 2009. IRI '09. IEEE International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4244-4114-3
Electronic_ISBN
978-1-4244-4116-7
Type
conf
DOI
10.1109/IRI.2009.5211574
Filename
5211574
Link To Document