AN APPROACH FOR WEB SERVICE DISCOVERY BASED ON COLLABORATIVE STRUCTURED TAGGING

被引:0
|
作者
Chukmol, Uddam [1 ]
Benharkat, Aicha-Nabila [1 ]
Amghar, Youssef [1 ]
机构
[1] Univ Lyon, CNRS, INSA Lyon, LIRIS,UMR5205, F-69621 Villeurbanne, France
关键词
Web Service Discovery; Structured Tagging; Semantic Annotation; Folksonomy; User-centricity;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This research work presents a folksonomic annotation used in a collaborative tagging system to enhance the Web service discovery process. More expressive than traditional tags, this structural tagging method is able to reflect the functional capability of Web services, easy to use and very much accessible to users than ontology or logic based formalism of annotation. We describe a Web service retrieval system exploiting the aforementioned structural tagging. System user profiling is also approached in order to further assign reputation and compute tag recommendation. We present some interesting usage scenarios of this system and also a strategy to evaluate its performance.
引用
收藏
页码:47 / 56
页数:10
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