Title: On Automating Decentralized Multi-Step Service Combination
Authors: Philipp, Patrick
Rettinger, Achim
Maleshkova, Maria 
Language: eng
Keywords: Accuracy Estimation;Coordination in Multi-Agent System;Named Entity Recognition and-Disambiguation;Service Combination
Issue Date: 7-Sep-2017
Publisher: IEEE
Document Type: Conference Object
Page Start: 736
Page End: 743
Published in (Book): 2017 IEEE 24th International Conference on Web Services - ICWS 2017 : Proceedings
Publisher Place: Piscataway
Conference: 2017 IEEE International Conference on Web Services (ICWS), June 25 2017 to June 30 2017 Honolulu, HI
Abstract: 
Information on the Web is heterogeneous and available in constantly increasing quantities. Consequently, there are numerous, partly redundant data analytics services, each optimized for data with certain characteristics. Often, analytics tasks require multiple services to be pipelined to find a solution, where combinations of exchangeable services for single steps might outperform one-service-predictions. This work proposes a Multi-Agent System (MAS) perception of prior setting, where decentralized agents are considered to manage services, having to coordinate their decisions to find a consensus. We, first, propose a supervised method for service accuracy estimation and, therefore, exploit locality-sensitive features of training data. Given a committee of services managed by agents, we develop coordination strategies to handle conflicting confidences and reduce erroneous predictions due to service correlation. We evaluate our approach with Named Entity Recognition (NER)- A nd Named Entity Disambiguation (NED) services on text corpora with heterogeneous characteristics (i.e. news articles and tweets). Our empirical results improve the out-of-the-box performance of the original services.
Organization Units (connected with the publication): Karlsruhe Institute of Technology
ISBN: 9781538607527
Publisher DOI: 10.1109/ICWS.2017.89
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