TY - GEN
T1 - An indexing technique for similarity-based fuzzy object-oriented data model
AU - Yazici, Adnan
AU - Ince, Çagri
AU - Koyuncu, Murat
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2004.
PY - 2004
Y1 - 2004
N2 - Fuzzy object-oriented data model is a fuzzy logic-based extension to object-oriented database model, which permits uncertain data to be explicitlyrepresented. One of the proposed fuzzy object-oriented database models based on similarity relations is the FOOD model. Several kinds of fuzziness are dealtwith in the FOOD model, including fuzziness between object/class and class/ superclass relations. The traditional index structures are inappropriate for theFOOD model for an efficient access to the objects with crisp or fuzzy values, since they are not efficient for processing both crisp and fuzzy queries. In thisstudy we propose a new index structure (the FOOD Index) dealing with different kinds of fuzziness in FOOD databases and supports multi-dimensional indexing. We describe how the FOOD Index supports various types of flexible queries and evaluate performance results of crisp, range, and fuzzy queries usingthe FOOD index.
AB - Fuzzy object-oriented data model is a fuzzy logic-based extension to object-oriented database model, which permits uncertain data to be explicitlyrepresented. One of the proposed fuzzy object-oriented database models based on similarity relations is the FOOD model. Several kinds of fuzziness are dealtwith in the FOOD model, including fuzziness between object/class and class/ superclass relations. The traditional index structures are inappropriate for theFOOD model for an efficient access to the objects with crisp or fuzzy values, since they are not efficient for processing both crisp and fuzzy queries. In thisstudy we propose a new index structure (the FOOD Index) dealing with different kinds of fuzziness in FOOD databases and supports multi-dimensional indexing. We describe how the FOOD Index supports various types of flexible queries and evaluate performance results of crisp, range, and fuzzy queries usingthe FOOD index.
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U2 - 10.1007/978-3-540-25957-2_27
DO - 10.1007/978-3-540-25957-2_27
M3 - Conference contribution
AN - SCOPUS:9444230639
SN - 3540221603
SN - 9783540221609
T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
SP - 334
EP - 347
BT - Flexible Query Answering Systems
A2 - Christiansen, Henning
A2 - Andreasen, Troels
A2 - Hacid, Mohand-Said
A2 - Larsen, Henrik Legind
PB - Springer Verlag
T2 - 6th International Conference on Flexible Query Answering Systems, FQAS 2004
Y2 - 24 June 2004 through 26 June 2004
ER -