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
fDate :
Aug. 29 2011-Sept. 2 2011
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;
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on
Conference_Location :
Toulouse
Print_ISBN :
978-1-4577-0982-1
DOI :
10.1109/DEXA.2011.22
