NDLI: Towards Automatic Tagging for Web Services

Content Provider	IEEE Xplore Digital Library
Author	Lu Fang Lijie Wang Meng Li Junfeng Zhao Yanzhen Zou Lingshuang Shao
Copyright Year	2012
Abstract	Tagging technique is widely used to annotate objects in Web 2.0 applications. Tags can support web service understanding, categorizing and discovering, which are important tasks in a service-oriented software system. However, most of existing web services' tags are annotated manually. Manual tagging is time-consuming. In this paper, we propose a novel approach to tag web services automatically. Our approach consists of two tagging strategies, tag enriching and tag extraction. In the first strategy, we cluster web services using WSDL documents, and then we enrich tags for a service with the tags of other services in the same cluster. Considering our approach may not generate enough tags by tag enriching, we also extract tags from WSDL documents and related descriptions in the second step. To validate the effectiveness of our approach, a series of experiments are carried out based on web-scale web services. The experimental results show that our tagging method is effective, ensuring the number and quality of generated tags. We also show how to use tagging results to improve the performance of a web service search engine, which can prove that our work in this paper is useful and meaningful.
Starting Page	528
Ending Page	535
File Size	531269
Page Count	8
File Format	PDF
ISBN	9781467321310
DOI	10.1109/ICWS.2012.99
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web services Tagging Feature extraction Equations Mathematical model Blogs Search engines Cluster Tag Automatic Web Services Discovery
Content Type	Text
Resource Type	Article

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