S
Swapna A. Oundhakar
Researcher at University of Georgia
Publications - 5
Citations - 1628
Swapna A. Oundhakar is an academic researcher from University of Georgia. The author has contributed to research in topics: Data Web & Semantic Web Stack. The author has an hindex of 5, co-authored 5 publications receiving 1614 citations.
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Proceedings ArticleDOI
Meteor-s web service annotation framework
TL;DR: MWSAF (METEOR-S Web Service Annotation Framework), a framework for semi-automatically marking up Web service descriptions with ontologies, which has developed algorithms to match and annotate WSDL files with relevant ontologies.
Journal Article
METEOR-S WSDI: A Scalable P2P Infrastructure of Registries for Semantic Publication and Discovery of Web Services
Kunal Verma,Kaarthik Sivashanmugam,Amit P. Sheth,Abhijit Ashok Patil,Swapna A. Oundhakar,John A. Miller +5 more
TL;DR: The METEOR-S Web Service Discovery Infrastructure as mentioned in this paper uses an ontology-based approach to organize registries into domains, enabling domain based classification of all Web services, and each of these registries supports semantic publication and discovery of Web services.
Journal ArticleDOI
METEOR-S WSDI: A Scalable P2P Infrastructure of Registries for Semantic Publication and Discovery of Web Services
Kunal Verma,Kaarthik Sivashanmugam,Amit P. Sheth,Abhijit Ashok Patil,Swapna A. Oundhakar,John A. Miller +5 more
TL;DR: The implementation and architecture of the METEOR-S Web Service Discovery Infrastructure is described, which leverages peer-to-peer computing as a scalable solution and an ontology-based approach to organize registries into domains, enabling domain based classification of all Web services.
Journal ArticleDOI
Discovery of Web Services in a Multi-Ontology and Federated Registry Environment
TL;DR: An ontology-based Web service discovery infrastructure to provide access to registries that are divided based on business domains and grouped into federations is discussed, and a novel discovery algorithm is provided, which addresses semantic heterogeneity with respect to multiple ontologies from the same domain.