Learning to map between ontologies on the semantic web

Self Cite

703

385

Abstract. Though research on the Semantic Web has progressed at a steady pace, its promise has yet to be realized. One major difficulty is that, by its very nature, the Semantic Web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each source. We cannot expect each user to know the trustworthiness of each source, nor would we want to assign top-down or global credibility values due to the subjective nature of trust. We tackle this problem by employing a web of trust, in which each user maintains trusts in a small number of other users. We then compose these trusts into trust values for all other users. The result of our computation is not an agglomerate "trustworthiness" of each user. Instead, each user receives a personalized set of trusts, which may vary widely from person to person. We define properties for combination functions which merge such trusts, and define a class of functions for which merging may be done locally while maintaining these properties. We give examples of specific functions and apply them to data from Epinions and our BibServ bibliography server. Experiments confirm that the methods are robust to noise, and do not put unreasonable expectations on users. We hope that these methods will help move the Semantic Web closer to fulfilling its promise.

Section: Future Workmentioning

confidence: 99%

Trust Management for the Semantic Web

Richardson

Agrawal

Domingos

2003

Self Cite

703

385

“…More importantly, we have identified that apart from [9], [15] all efforts do not consult significant domain knowledge. However, to make use of such knowledge, additional information must be specified in the ontology.…”

Section: Discussionmentioning

confidence: 99%

The HCONE Approach to Ontology Merging

Kotis

Vouros

2004

Abstract. 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.

“…Mapping is defined by [17] Automatic or semi-automatic mapping may use some mapping tools such as FCAMerge [20], IF-map [21], GLUE [22], COMA++ [23]. These automatic or semiautomatic mapping tools achieve accurate mapping results under the conditions of two ontologies defined in natural-language descriptions which are at the conceptual level.…”

Section: Ontology For Semantic Interoperabilitymentioning

confidence: 99%

On the Use of Description Logic for Semantic Interoperability of Enterprise Systems

Yahia

Yang

Aubry

et al. 2009

Abstract.With the growing advances in computing and communications technologies, the concept of system-of-systems (SoS) becomes widely recognized as it offers potential benefits and new challenges. Relevant perspectives related to SoS constitutes nowadays an active domain of research, among them those issues concerning the need of full interoperation. When it is related to enterprise information systems, the SoS paradigm may then be derived to a form of System-of-Information Systems (SoIS). This paper presents an overview of the features of the interoperation in SoIS and proposes guidelines to evaluate and formalize it in order to identify semantic gaps between information systems concepts and models. It provides, through an example, an approach to use Description Logic for evaluating semantic interoperability concerns.