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Conference Object Citation - WoS: 5Fuzzy Querying in Intelligent Information Systems(Springer-verlag Berlin, 2009) Koyuncu, MuratMany new database applications require intelligent information management to satisfy different users' query demands. One way to convert conventional database systems to intelligent information systems is to enhance them with a rule-based system. On the other hand, fuzziness becomes unavoidable for some applications and therefore both the database and rule-based systems should handle fuzziness existing in data and queries. This study explains how a fuzzy rule-based system integrated to a fuzzy spatial, temporal or multimedia database improves the query capabilities of the database system intelligently. Fuzzy query types that can be supported by the rule-based system to improve querying power are discussed.Conference Object Citation - WoS: 3Flexible Content Extraction and Querying for Videos(Springer-verlag Berlin, 2011) Demir, Utku; Koyuncu, Murat; Yazici, Adnan; Yilmaz, Turgay; Sert, MustafaIn this study, a multimedia database system which includes a semantic content extractor, a high-dimensional index structure and an intelligent fuzzy object-oriented database component is proposed. The proposed system is realized by following a component-oriented approach. It supports different flexible query capabilities for the requirements of video users, which is the main focus of this paper. The query performance of the system (including automatic semantic content extraction) is tested and analyzed in terms of speed and accuracy.

