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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Kaijun Ren Jinjun Chen Nong Xiao Junqiang Song Jinyang Li | 
| Copyright Year | 2008 | 
| Description | Author affiliation: Coll. of Comput., Nat. Univ. of Defense Technol., Changsha (Kaijun Ren; Jinjun Chen; Nong Xiao; Junqiang Song; Jinyang Li) | 
| Abstract | Current existing semantic composition methods mainly rely on ontology reasoning to support automated service composition. However, in reality, ontologies are generally unavailable or ontology reasoning is time-consuming; thus existing semantic composition methods are becoming impractical in the general service integration field. To address this problem, in this paper, we present an innovative composition technique by combining Wordnet with ontologies together to build an extended quick service query list (EQSQL) for supporting automated service composition. In EQSQL, data structures are designed particularly to record service information and their associated semantic concepts by previously processing semantic-related computing during service publication stage. Based on EQSQL, not only a quick response can be achieved, but the semantically-similar composition quality as well even if there is a lack of concrete domain-dependent ontologies for a user query. | 
| Starting Page | 297 | 
| Ending Page | 302 | 
| File Size | 522678 | 
| Page Count | 6 | 
| File Format | |
| ISBN | 9780769534732 | 
| DOI | 10.1109/APSCC.2008.161 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2008-12-09 | 
| Publisher Place | Taiwan | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Automation Quick Service Query List (QSQL) OWL Ontologies Information retrieval Educational institutions Data structures Wordnet Search engines Software systems Concrete Australia service composition | 
| Content Type | Text | 
| Resource Type | Article | 
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