Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Experiments on using semantic distances between words in image caption retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Finding out about: a cognitive perspective on search engine technology and the WWW
Finding out about: a cognitive perspective on search engine technology and the WWW
Processes Driving the Networked Economy
IEEE Concurrency
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Semantic E-Workflow Composition
Journal of Intelligent Information Systems
Using the web to obtain frequencies for unseen bigrams
Computational Linguistics - Special issue on web as corpus
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Meteor-s web service annotation framework
Proceedings of the 13th international conference on World Wide Web
Information Technology and Management
Automated semantic web service discovery with OWLS-MX
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Semantic Web Services, Processes and Applications (Semantic Web and Beyond: Computing for Human Experience)
Framework for Semantic Web Process Composition
International Journal of Electronic Commerce
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Extended gloss overlaps as a measure of semantic relatedness
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
WWW: WSMO, WSML, and WSMX in a nutshell
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Introduction to semantic web services and web process composition
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
Academic and industrial research: do their approaches differ in adding semantics to web services?
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
Bringing semantics to web services: the OWL-S approach
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
An efficient algorithm for OWL-S based semantic search in UDDI
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
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To make semantic Web services accessible to users, providers use registries to publish them. Unfortunately, the current registries use discovery mechanisms which are inefficient, as they do not support discovery based on the semantics of the services and thus lead to a considerable number of irrelevant matches. Semantic discovery and matching of services is a promising approach to address this challenge. This paper presents an algorithm to match a semantic Web service request described with SAWSDL against semantic Web service advertisements. The algorithm is novel in three fundamental aspects. First, the similarity among semantic Web service properties, such as inputs and outputs, is evaluated using Tversky's model which is based on concepts (classes), their semantic relationships, and their common and distinguishing features (properties). Second, the algorithm, not only takes into account services' inputs and outputs, but it also considers the functionality of services. Finally, the algorithm is able to match a semantic Web service request against advertisements that are annotated with concepts that are with or without a common ontological commitment. In other words, it can evaluate the similarity of concepts defined in the context of different ontologies.