Purpose – The purpose of this paper is to propose a hybrid ontology‐based solution to expand user's queries.Design/methodology/approach – The solution aims for ontology development and query expansion with ontology‐based approach. The first task is to develop an ontology (named OMP), which relates to key‐properties and key‐members of objects described in words/terms of English vocabulary. Its training methodology is also a hybrid, rule‐based with proposed patterns and statistical‐based solution for selecting the best candidates from TREC English corpus. The second is proposals for mechanisms not only to look for relative result in the ontology OMP to complete and expand user's entered query/noun phrase, but also to expand the search progress by linking the OMP ontology to indexes of information retrieval system. Especially, the base of these two tasks is our proposal for four kinds of semantic relationship of words.Findings – Several semantic relationships among words in vocabulary has been introduced and...
[1]
Alia I. Abdelmoty,et al.
Ontology-Based Spatial Query Expansion in Information Retrieval
,
2005,
OTM Conferences.
[2]
Hamish Cunningham,et al.
GATE-a General Architecture for Text Engineering
,
1996,
COLING.
[3]
P. Sreenivasa Kumar,et al.
Using Domain Ontologies for Efficient Information Retrieval
,
2006,
COMAD.
[4]
Roberto Navigli,et al.
An analysis of ontology-based query expansion strategies
,
2003
.
[5]
Abraham Bernstein,et al.
GINO - A Guided Input Natural Language Ontology Editor
,
2006,
SEMWEB.
[6]
Tuoi Thi Phan,et al.
An ontology-based approach of query expansion
,
2007,
iiWAS.
[7]
P. Smith,et al.
A review of ontology based query expansion
,
2007,
Inf. Process. Manag..
[8]
Ben Carterette,et al.
Minimal Test Collections for Relevance Feedback
,
2009,
TREC.