DocumentCode :
2070705
Title :
Analyzing Tag-Based Mashups with Fuzzy FCA
Author :
Chou, Cheng-Yen ; Mei, Hsing
Author_Institution :
Comput. Sci. & Inf. Eng. Dept., Fu Jen Catholic Univ., Taiwan
fYear :
2008
fDate :
18-19 Dec. 2008
Firstpage :
257
Lastpage :
262
Abstract :
Mashing up with APIs has become a critical skill for Web 2.0 developers to construct creative web applications quickly. With the help from descriptive tags, developers can search the target Web APIs easier than before. However, it is still difficult to determine proper tags that best describe Web API. This paper is focusing on analyzing semantic tags and the relationships between each Web APIs. We apply Fuzzy Formal Concept Analysis (FFCA) and Bidirectional Co-occurrence approach to analyze tag relations automatically. As the experiment results shown, Bidirectional Co-occurrence enhanced FFCA model can increase the accuracy of tag mining, and FFCA could speed up the computation. Our Bidirectional Co-occurrence approach is more efficiency and accurate than native approaches.
Keywords :
Web services; application program interfaces; fuzzy set theory; API; Web 2.0 developers; bidirectional co-occurrence; fuzzy FCA; fuzzy formal concept analysis; semantic tags; tag mining; tag-based mashups; Application software; Collaboration; Computer science; Data mining; Fuzzy systems; Information technology; Mashups; Systems engineering and theory; Tagging; Technology management; Fuzzy Formal Concept Analysis; Mashup; Tag;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service-Oriented System Engineering, 2008. SOSE '08. IEEE International Symposium on
Conference_Location :
Jhongli
Print_ISBN :
978-0-7695-3499-2
Electronic_ISBN :
978-0-7695-3499-2
Type :
conf
DOI :
10.1109/SOSE.2008.16
Filename :
4730496
Link To Document :
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