A Scalable Framework for Interoperation of Information Sources (0)

by Prasenjit Mitra, Gio Wiederhold, Stefan Decker
Venue:In Proc. 1st International Semantic Web Working Symposium (SWWS '01
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OMEN: A Probabilistic Ontology Mapping Tool

by Prasenjit Mitra, Natalya F. Noy, Anuj R. Jaiswal - In Workshop on Meaning Coordination and Negotiation at the Third International Conference on the Semantic Web (ISWC-2004). Hisroshima , 2004
"... Abstract. Most existing ontology mapping tools do not provide exact mappings. Rather, there is usually some degree of uncertainty. We describe a framework to improve existing ontology mappings using a Bayesian Network. Omen, an Ontology Mapping ENhancer uses a set of meta-rules that capture the infl ..."
Abstract - Cited by 50 (0 self) - Add to MetaCart
Abstract. Most existing ontology mapping tools do not provide exact mappings. Rather, there is usually some degree of uncertainty. We describe a framework to improve existing ontology mappings using a Bayesian Network. Omen, an Ontology Mapping ENhancer uses a set of meta-rules that capture the influence of the ontology structure and the semantics of ontology relations and matches nodes that are neighbors of already matched nodes in the two ontologies. We have implemented a protype ontology matcher that can enhance existing matches between ontology concepts. Preliminary experiments demonstrate that Omen successfully identifies and enhances ontology mappings. 1
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Towards peer-to-peer semantic web: A distributed environment for sharing semantic knowledge on the web

by Madhan Arumugam, Amit Sheth, I. Budak Arpinar - Proc of the International World Wide Web Conference,WWW , 2002
"... Abstract. The real value of Semantic Web vision can be demonstrated if people and applications can create and discover new and interesting knowledge and share this knowledge in a transparent manner similar to the way data is exchanged today. Therefore, we believe that Semantic Web will consist of a ..."
Abstract - Cited by 18 (2 self) - Add to MetaCart
Abstract. The real value of Semantic Web vision can be demonstrated if people and applications can create and discover new and interesting knowledge and share this knowledge in a transparent manner similar to the way data is exchanged today. Therefore, we believe that Semantic Web will consist of a distributed environment of shared and interoperable ontologies, which have emerged as common formalisms for knowledge representation. The users will need to discover new ontologies, which are not known to them before and use them to either annotate the content or to formulate their information requests. This requires an environment that supports creating, maintaining, and controlled sharing of ontologies. We believe that a Peer-to-Peer (P2P) infrastructure can enable such capabilities. We call our approach P2P Semantic Web (PSW) with capabilities to find relevant set of ontologies, facilitating reuse of existing ontologies to create additional ontologies, and advertising the resulting ontologies. We discuss an ontology driven search of concepts and services and exploration of inter-ontological relationships over a P2P infrastructure. The prototyping of this approach in the InfoQuilt system is also discussed. 1.
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Ontology mapping discovery with uncertainty

by Prasenjit Mitra, Natalya F. Noy, Anuj R. Jaiswal - in Fourth International Conference on the Semantic Web (ISWC-2005 , 2005
"... Abstract. Resolving semantic heterogeneity among information sources is a central problem in information interoperation, information integration, and information sharing among websites. Ontologies express the semantics of the terminology used in these websites. Semantic heterogeneity can be resolved ..."
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Abstract. Resolving semantic heterogeneity among information sources is a central problem in information interoperation, information integration, and information sharing among websites. Ontologies express the semantics of the terminology used in these websites. Semantic heterogeneity can be resolved by mapping ontologies from diverse sources. Mapping large ontologies manually is almost impossible and results in a number of errors of omission and commission. Therefore, automated ontology mapping algorithms are a must. However, most existing ontology mapping tools do not provide exact mappings. Rather, there is usually some degree of uncertainty. We describe a framework to improve existing ontology mappings using a Bayesian Network. Omen, an Ontology Mapping ENhancer uses a set of meta-rules that capture the influence of the ontology structure and the semantics of ontology relations and matches nodes that are neighbors of already matched nodes in the two ontologies. We have implemented a protype ontology matcher using probabilistic methods that can enhance existing matches between ontology concepts. Experiments demonstrate that Omen successfully identifies and enhances ontology mappings significantly. 1
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The HCONE Approach to Ontology Merging

by Konstantinos Kotis , George A. Vouros - IN PROCEEDINGS OF THE 21ST INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE , 2004
"... Existing efforts on ontology mapping, alignment and merging vary from methodological and theoretical frameworks, to methods and tools that support the semi-automatic coordination of ontologies. However, only latest research efforts "touch" on the mapping /merging of ontologies using the wh ..."
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Existing efforts on ontology mapping, alignment and merging vary from methodological and theoretical frameworks, to methods and tools that support the semi-automatic coordination of ontologies. However, only latest research efforts "touch" on the mapping /merging of ontologies using the whole breadth of available knowledge. This paper aims to thoroughly describe the HCONE approach on ontology merging. The approach described is based on (a) capturing the intended informal interpretations of concepts by mapping them to WordNet senses using lexical semantic indexing, and (b) exploiting the formal semantics of concepts' definitions by means of description logics' reasoning services.

Querying semantic web resources using TRIPLE views

by Gustaf Neumann, Uwe Zdun, Michael Sintek - In Proceedings of the 2nd International Semantic Web Conference (ISWC2003), Sanibel Island , 2003
"... 1 Introduction On the Semantic Web, resources are annotated with ontology-based metadata.Ontologies are formal, explicit specifications of a shared conceptualization. Ontologies play a central role on the Semantic Web because they represent therelations between semantic information, hence all query ..."
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1 Introduction On the Semantic Web, resources are annotated with ontology-based metadata.Ontologies are formal, explicit specifications of a shared conceptualization. Ontologies play a central role on the Semantic Web because they represent therelations between semantic information, hence all query or reasoning services have to be based on ontologies. Several ontology languages have been proposedand investigated recently, such as RDFS [18], DAML+OIL [4], or OWL [17].
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Browsing Schedules - An Agent-based approach to navigating the Semantic Web

by Terry R. Payne, Rahul Singh, Katia Sycara - In First Int. Semantic Web Conf , 2002
"... The Semantic Web promises to change the way agents navigate, harvest and utilize information on the internet. By providing a structured, distributed representation for expressing concepts and relationships defined by multiple ontologies, it is now possible for agents to read and reason about publish ..."
Abstract - Cited by 9 (3 self) - Add to MetaCart
The Semantic Web promises to change the way agents navigate, harvest and utilize information on the internet. By providing a structured, distributed representation for expressing concepts and relationships defined by multiple ontologies, it is now possible for agents to read and reason about published knowledge, without the need for scrapers, information agents, and centralized ontologies. Agents can utilize this knowledge to seek and invoke other agents and web services, thus supporting navigation across the Semantic Web. We demonstrate how agents support enhanced navigation on the Semantic Web within a conference-schedule domain, and present three agent-based services: the RETSINA Calendar Agent, which reasons about schedules marked up on the Semantic Web; the DMA2ICal markup tranaslation agent which provides translation services between schedules grounded in different ontologies, and a Conference Agent, that invokes the Calendar Agent.
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Markov Network based Ontology Matching ∗

by Sivan Albagli, Rachel Ben-eliyahu-zohary, Solomon E. Shimony
"... iMatch is a probabilistic scheme for ontology matching based on Markov networks, which has several advantages over other probabilistic schemes. First, it uses undirected networks, which better supports the non-causal nature of the dependencies. Second, it handles the high computational complexity by ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
iMatch is a probabilistic scheme for ontology matching based on Markov networks, which has several advantages over other probabilistic schemes. First, it uses undirected networks, which better supports the non-causal nature of the dependencies. Second, it handles the high computational complexity by doing approximate reasoning, rather then by ad-hoc pruning. Third, the probabilities that it uses are learned from matched data. Finally, iMatch naturally supports interactive semiautomatic matches. Experiments using the standard benchmark tests that compare our approach with the most promising existing systems show that iMatch is one of the top performers. 1

Evaluating Contract Compatibility for Service Composition in The SeCO2 Framework ⋆

by Marco Comerio, Hong-linh Truong, Flavio De Paoli, Schahram Dustdar
"... Abstract. Recently, the Software-as-a-Service (SaaS) model has been increasingly supported, becoming a major part of the new emerging cloud computing paradigms. Although SaaS exists in different forms, supporting and providing SaaS developed based Web services has attracted a large effort from indus ..."
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Abstract. Recently, the Software-as-a-Service (SaaS) model has been increasingly supported, becoming a major part of the new emerging cloud computing paradigms. Although SaaS exists in different forms, supporting and providing SaaS developed based Web services has attracted a large effort from industries and academics because this form of SaaS allows software to be easily composed and integrated to offer new services for customers. Even though various service composition techniques, based on functional and non-functional parameters, have been proposed, the issue of service contract compatibility has been neglected. This issue is of paramount importance in the Web services-based SaaS model because services are provided by different providers, associated with different contracts which are defined by different specifications. This paper proposes techniques for supporting service composers to deal with the heterogeneity of service contracts in service composition. We describe a novel approach for modeling and mapping different service contract specifications, and a set of techniques for evaluating service contract compatibility. Our techniques consider contract terms associated with data and control flows, as well as composition patterns. Illustrating scenarios are proposed to demonstrate the efficiency of our techniques. 1
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Hierarchical knowledge integration using layered conceptual graphs

by Madalina Croitoru, Ernesto Compatangelo, Chris Mellish - I E E E Transactions on Software Engineering , 2005
"... Abstract We describe the ‘Hierarchical as View ’ approach to knowledge integration from heterogeneous sources. This is based on a novel representation called Layered Conceptual Graphs (LCGs), a hierarchical extension of conceptual graphs that address interoperability issues. We introduce LCGs on the ..."
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Abstract We describe the ‘Hierarchical as View ’ approach to knowledge integration from heterogeneous sources. This is based on a novel representation called Layered Conceptual Graphs (LCGs), a hierarchical extension of conceptual graphs that address interoperability issues. We introduce LCGs on the basis of a new graph transformation system, which could be an appropriate hierarchical graph model for applications that require consistent transformations. We highlight a new type of rendering based on the additional expansion of relation nodes. Both the querying and integration capabilities of our approach are based on projection, an operation also defined for simple conceptual graphs. Integration is performed in a way that neither depends on the order in which the sources are combined nor on their physical availability. 1
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Processing Schedules using Distributed Ontologies on the Semantic Web

by Terry R. Payne, Rahul Singh, Katia Sycara - Eds.), Proceedings of Web Services, E-Business and Semantic Web Workshop, CAiSE 2002 , 2002
"... The Semantic Web uses formal distributed ontologies for representing relationships among concepts in the real world. A structured framework such as this allows agents to peruse and reason about published knowledge without the need for scrapers, information agents, and centralized ontologies. How ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
The Semantic Web uses formal distributed ontologies for representing relationships among concepts in the real world. A structured framework such as this allows agents to peruse and reason about published knowledge without the need for scrapers, information agents, and centralized ontologies. However, in order to process any information, an agent must be familiar with the underlying ontology used to markup that information. However, no single agent can be expected to be familiar with all possible ontologies that may be available on the Semantic Web.
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