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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shan Liu Yichao Yang Wenfeng Zheng Xiaolu Li |
| Copyright Year | 2012 |
| Abstract | In pervasive environments, the current service matchmaking is lack of context information with machine understandable and unable to deal with uncertainty of service properties, so it cannot achieve intelligent service discovery. This paper presents a fuzzy rough set theory based context-aware dynamic service matchmaking approach that composes an application through combining semantic information and context information. The proposed approach consists of formalized service description model with semantics and context attributes, and fuzzy rough set based service matchmaking. By describing the context attributes, the proposed approach is capable of composing context-aware application. Through a transformation technique, the incomplete information system is converted into a simpler system and then reducts are obtained from the transformed system based fuzzy rough set theory. Afterwards, the candidate service sets are selected by the function of the degree of keyword match and ranked through the function of the degree of service match. This paper describes the design and mechanism of the proposed approach. The proposed approach is expected to increase users' satisfaction in pervasive environments. |
| Starting Page | 985 |
| Ending Page | 989 |
| File Size | 546129 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467348737 |
| DOI | 10.1109/CIT.2012.202 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Web services Heuristic algorithms Semantics Context awareness Service matchmaking Set theory Fuzzy rough sets Approximation methods Information systems |
| Content Type | Text |
| Resource Type | Article |
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