NDLI: Frequent Pattern Mining Using Semantic FP-Growth for Effective Web Service Ranking

Content Provider	IEEE Xplore Digital Library
Author	Shafiq, O. Alhajj, R. Rokne, J.G.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada (Shafiq, O.; Alhajj, R.; Rokne, J.G.)
Abstract	Automated Ranking is crucial in the process of automated Web Services execution. Often adaptation and ranking (used interchangeably) of discovered Web services is carried out using functional and non-functional information of Web Services. Existing approaches are either found to be only focusing on semantic modeling and representation only, or using data mining and machine learning based approaches on unstructured and raw data to perform discovery and ranking. We propose an approach to allow semantically formalized representation of logs during Web Service execution and then use such logs to perform ranking and adaptation of discovered Web Services. We have built Semantic FP-Tree based technique to perform association rule learning on functional and non-functional characteristics of Web Services. The process of automated execution of Web Services is improved in two steps, i.e., (1) we provide semantically formalized logs that maintain well-structured and formalized information about past interactions of Services Consumers and Web Services, (2) we perform an extended association rule mining on semantically formalized logs to find out any possible correlation in functional and non-functional characteristics of Web Services during past execution which is then used in automated ranking and adaptation of Web Services.
Starting Page	725
Ending Page	727
File Size	214426
Page Count	3
File Format	PDF
e-ISBN	9781479950546
DOI	10.1109/ICWS.2014.116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web services Semantics Association rules Syntactics Engines Educational institutions Semantic Logs Web Services Discovery Ranking Association Rule Mining Semantic FP-Growth
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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