Paper Info
Title
The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services
Abstract
This work aims to advance Web Service retrieval, also known as Matching, in two directions. Firstly, it introduces a matching algorithm for SAWSDL, which adapts and extends known concepts with novel strategies. Effective logic-based and syntactic strategies are introduced and combined in a novel hybrid strategy, targeting an envisioned well-defined, real-world scenario for matching. The algorithm is evaluated in a universal environment for matching algorithms, SME2, in an objective, reproducible manner. Evaluation ranks Tomaco high amongst state of the art, especially for early recall levels (first in macroaveraging precision, up to 0.7 recall). Secondly, this work introduces the Tomaco web application, which aims to promote widespread adoption of Semantic Web Services while targeting the lack of user-friendly applications in this field, by integrating a variety of configurable matching algorithms proposed in this paper. It, finally, allows discovery of both existing and user-contributed service collections and ontologies, serving also as a service registry.
Year
DOI
Venue
2014
10.1109/TSC.2015.2430328
Services Computing, IEEE Transactions
Keywords
Field
DocType
Intelligent Web Services and Semantic Web,Internet reasoning services,Web Services Discovery,Web-based services
SAWSDL,Information retrieval,Semantic Web Stack,Web Services Discovery,Computer science,Data Web,Semantic Web,Web modeling,Social Semantic Web,Web service
Journal
Volume
Issue
ISSN
PP
99
1939-1374
Citations 
PageRank 
References 
5
0.40
23
Authors
4
Name
Order
Citations
PageRank
T. Stavropoulos150.40
S. Andreadis2149.70
N. Bassiliades323349.24
Dimitris Vrakas425123.98