Adaptation of language model of Information Retrieval for empty answers Problem in databases

Autor: Abdelhamid Chellal, Karima Amrouche
Přispěvatelé: Systèmes d’Informations Généralisées (IRIT-SIG), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Ecole Nationale Supérieure d'Informatique,ESI, Algiers, Algeria, Centre National de la Recherche Scientifique - CNRS (FRANCE), Ecole nationale supérieure d'informatique - ESI (ALGERIA), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE)
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Proceedings of 12th International Symposium on Programming and Systems
12th International Symposium on Programming and Systems (ISPS 2015)
12th International Symposium on Programming and Systems (ISPS 2015), Apr 2015, Alger, Algeria. pp. 142-148
Popis: International audience; Information over the web is increasingly retrieved from relational databases in which the query language is based on exact matching, data fulfil completely the query or not. The results returned to the user contain only tuples that satisfy the conditions of the query. Thereby, the user can be confronted to the problem of empty answers in the case of too selective query. To overcome this problem, several approaches have been proposed in the literature in particularly those based on query conditions relaxation. Others works suggest the use of fuzzy sets theory to introduce a flexible queries. Another line of research proposes the adaptation of information retrieval (IR) approaches to get an approximate matching in databases. We discuss in this paper, an adaptation of language model of IR to deal with empty answers. The main idea behind our approach is that instead of returning an empty response to the user, a ranked list of tuples that have the most similar values to those specified in user's query is returned.
Databáze: OpenAIRE