Open AccessCase-based Reasoning for Web Service Discovery and Selection
Author(s) -
Alan De Renzis,
Martín Garriga,
Andrés Flores,
Alejandra Cechich,
Alejandro Zunino
Publication year - 2016
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2016.02.006
Subject(s) - computer science , heuristics , web service , similarity (geometry) , information retrieval , service discovery , selection (genetic algorithm) , service (business) , web modeling , representation (politics) , function (biology) , world wide web , artificial intelligence , economy , evolutionary biology , politics , political science , law , economics , image (mathematics) , biology , operating system
Web Service discovery and selection deal with the retrieval of the most suitable Web Service, given a required functionality. Addressing an effective solution remains difficult when only functional descriptions of services are available. In this paper, we propose a solution by applying Case-based Reasoning, in which the resemblance between a pair of cases is quantified through a similarity function. We show the feasibility of applying Case-based Reasoning for Web Service discovery and selection, by introducing a novel case representation, learning heuristics and three different similarity functions. We also experimentally validate our proposal with a dataset of 62 real-life Web Services, achieving competitive values in terms of well-known Information Retrieval metrics
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom