TY - GEN
T1 - An information retrieval model using query expansion based on ontologies in the computer science domain
AU - Chávez, Bonnie G.Carranza
AU - Melgar, Andrés
PY - 2015
Y1 - 2015
N2 - This paper presents a model that aims to support knowledge retrieval stored in digital repositories through domain ontologies. In this model the ontology contains concepts and relationships which describe a specific part of the world. The model mechanisms aim to reduce the impact of some of the main obstacles identified in the Information Retrieval process such as user specific characteristics, natural language characteristics or retrieval systems limitations. As a result the user, by providing a query to the system, can retrieve relevant information which better meet his information need. A prototype was developed to demonstrate the feasibility of the model using queries in the computer science domain.
AB - This paper presents a model that aims to support knowledge retrieval stored in digital repositories through domain ontologies. In this model the ontology contains concepts and relationships which describe a specific part of the world. The model mechanisms aim to reduce the impact of some of the main obstacles identified in the Information Retrieval process such as user specific characteristics, natural language characteristics or retrieval systems limitations. As a result the user, by providing a query to the system, can retrieve relevant information which better meet his information need. A prototype was developed to demonstrate the feasibility of the model using queries in the computer science domain.
KW - Information retrieval
KW - Ontology
KW - Query expansion
UR - http://www.scopus.com/inward/record.url?scp=84969752989&partnerID=8YFLogxK
U2 - 10.18293/SEKE2015-002
DO - 10.18293/SEKE2015-002
M3 - Conference contribution
AN - SCOPUS:84969752989
T3 - Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
SP - 652
EP - 655
BT - Proceedings - SEKE 2015
PB - Knowledge Systems Institute Graduate School
T2 - 27th International Conference on Software Engineering and Knowledge Engineering, SEKE 2015
Y2 - 6 July 2015 through 8 July 2015
ER -