DocumentCode
2025461
Title
Combining Semantic and Multilingual Search to Databases with Recommender Systems
Author
Brodeala, Luchiana Cezara ; Martin-Bautista, Maria J. ; Gil, Richard J.
Author_Institution
Univ. of Granada, Granada, Spain
fYear
2011
fDate
Aug. 29 2011-Sept. 2 2011
Firstpage
544
Lastpage
548
Abstract
IR is a difficult task to do when dealing with free text fields of databases. This paper describes, through Seman-Query, how a search system can be combined with a recommender system in order to make it easier. The search part provides a solution to improve the functionality of database search techniques when dealing with IR from the text fields of databases, while the recommender part is responsible with adding documents that are similar to the results.
Keywords
database management systems; information retrieval; recommender systems; Seman-Query; database search; databases; multilingual search; recommender systems; search system; semantic search; Cats; Collaboration; Databases; Dictionaries; Educational institutions; Recommender systems; Semantics; Seman Query; multilingualism; recommender system; search system; semantic relations;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on
Conference_Location
Toulouse
ISSN
1529-4188
Print_ISBN
978-1-4577-0982-1
Type
conf
DOI
10.1109/DEXA.2011.22
Filename
6059874
Link To Document