Extending database capabilities: fuzzy semantic model

Salem Chakhar, Abdelkader Telmoudi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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This paper presents a new database model, namely Fuzzy Semantic Model (or FSM). FSM enables us to capture effectively the fuzziness and semantics of real-world and provides tools for its formalization and conceptualization within a manner adapted to human perception and reasoning. One of the novelties of FSM is that it authorizes an entity to be a member of several classes at the same time and according to different degrees of memberships that reflect the extent to which the entity verifies the attribute-based and/or semantic proprieties of these classes. The idea is to associate to each class a set of semantic and attribute-based proprieties; each one has its own membership function. These functions are then weighted in order to construct global membership functions that will be used as meant for assigning
entities to classes.
Original languageEnglish
Title of host publicationThe IEEE 2nd Conference on Sciences of Electronic, Technologies of Information and Telecommunications, Sousse, Tunisia, March 15-20
Number of pages7
VolumeProceedings on CD-ROM
Publication statusPublished - Mar 2004


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