By Zeynep Pehlivan, Myriam Ben-Saad, Stéphane Gançarski (auth.), Pablo García Bringas, Abdelkader Hameurlain, Gerald Quirchmayr (eds.)
st We welcome you to the lawsuits of the 21 foreign convention on Database and specialist structures functions held in Bilbao. With details and database s- tems being a critical subject of machine technology, it was once to be anticipated that the integ- tion of information, details and information is this day contributing to the back quickly expanding reputation of this box for researchers and practitioners. in view that its origin in 1990, DEXA has been an annual overseas convention, situated in Europe, which showcases cutting-edge learn actions in those components. DEXA 2010 persisted this practice and supplied a discussion board for providing and discu- ing learn ends up in the realm of database and clever platforms and complex - seek issues, functions and essentially correct concerns concerning those components. It provided attendees the chance to broadly speak about necessities, difficulties, and suggestions within the box within the friendly surroundings of the town of Bilbao, that's recognized for its using industriousness, its best cultural venues and its wealthy and encouraging he- tage and way of life. The collage of Deusto with its nice academic and study traditions, and the hospitality which the college and town are so recognized for, set the degree for this year’s DEXA convention. This quantity comprises the papers chosen for presentation on the DEXA conference.
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Additional info for Database and Expert Systems Applications: 21st International Conference, DEXA 2010, Bilbao, Spain, August 30 - September 3, 2010, Proceedings, Part I
Furthermore, an FO is satisfiable iff there is a model of it. Table 1. , some major notions in OODMs such as objects, classes, object-class relationships, and inheritance relationship are extended under fuzzy information environment. In addition, similarly for the references , , , , , , we restrict our attention to the structural components of FOOD models. The FOOD models are based on the notions of fuzzy objects, fuzzy classes, fuzzy attributes, and fuzzy inheritances . In the following, we propose a kind of formal definition of FOOD models, which is the fuzzy extension of OODM definition in .
Firstly, we introduce the fuzzy ontology, which consists of the fuzzy ontology structure and instances. Then, the FOOD models are investigated, and we propose a kind of formal definition of FOOD models. On this basis, we develop a formal approach that can translate the FOOD model and its corresponding database instances into the fuzzy ontology structure and the fuzzy ontology instances, respectively. Furthermore, following the proposed approach, we implement an automated learning tool, which can automatically construct fuzzy ontologies from FOOD models.
T. the FOOD model FS1 in Fig. 1 Automatic Fuzzy Semantic Web Ontology Learning 23 5 Fuzzy OWL DL Ontology Learning from FOOD Model This section proposes a formal approach for constructing fuzzy OWL DL ontologies from FOOD models, including: (i) translating the FOOD model into the fuzzy ontology structure (see Definition 3). t. the FOOD model into the fuzzy ontology instances (see Definition 4). (iii) proving that the translations are “semantics-preserving” and giving the translation examples. 1 Translating FOOD Model into Fuzzy OWL DL Ontology Structure The Definition 3 gives a formal approach for translating the FOOD model into the fuzzy OWL DL ontology structure.
Database and Expert Systems Applications: 21st International Conference, DEXA 2010, Bilbao, Spain, August 30 - September 3, 2010, Proceedings, Part I by Zeynep Pehlivan, Myriam Ben-Saad, Stéphane Gançarski (auth.), Pablo García Bringas, Abdelkader Hameurlain, Gerald Quirchmayr (eds.)