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Labour Force Statistics (Statistiques de main-d’oeuvre
- International Conference on Semantic Computing(ICSC
, 1976
"... In this paper, we propose a methodology for addressing trust in Semantic Web Services (SWS)-based applications. The aim is to enhance the capability-driven selection provided by current SWS frameworks with the introduction of trust-based selection criteria. We present an ontology- Web Services Trust ..."
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In this paper, we propose a methodology for addressing trust in Semantic Web Services (SWS)-based applications. The aim is to enhance the capability-driven selection provided by current SWS frameworks with the introduction of trust-based selection criteria. We present an ontology- Web Services Trust Ontology (WSTO) – that models the context of a trust-based interaction and enables the participants to describe semantically their trust requirements and guarantees. WSTO makes use of WSMO as reference ontology for representing Web Services and embodies the problem of finding the most “trusted ” Web service as a classification problem. To test our methodology, we implemented a specific module within IRS-III – a WSMO-based SWS broker – and deployed a prototype application based on a use case scenario.
01/02/2007 iiTrust Based Invocation Tool SUMMARY
, 2007
"... Trustworthiness is an important issue to be addressed in Semantic Web Services. Up to now, many approaches have been proposed, but no standards are available to annotate trust in SWS. This deliverable describes a framework, named WSTO (Wes Service Trust Ontology) and its implementation in IRS-III, a ..."
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Trustworthiness is an important issue to be addressed in Semantic Web Services. Up to now, many approaches have been proposed, but no standards are available to annotate trust in SWS. This deliverable describes a framework, named WSTO (Wes Service Trust Ontology) and its implementation in IRS-III, a DIP tool, for managing trust in Semantic Web Services. A WSTO early version has been provided in the deliverable M24, D3.6 (Trading partner management and trust), however this deliverable describes improved WSTO version and its implementation. This work embodies the effort to keep trust as a general concept, in order to accommodate easily all the different definitions of trust. The main idea is to treat Semantic Web Services as entities to classify, according with trust policies (guarantees and requirements), exposed by interaction participants. This work is an original attempt to consider trustworthiness in SWS selection, by using WSMO as underlying ontological representation and a classification library. IRS-III seems to be a suitable environment to accommodate a trust-based selection, as it is already an infrastructure for describing, invoking, discovering/selecting, composing, mediating SWS. This deliverable is related and complementary with the work done by EPFL in the deliverable D4.19 (P2P & QoS Enabled Discovery prototype v2). While they present an implemented framework for enabling QoS-based discovery, we provide a general approach for managing trust. WSTO is so general that it can include QoS parameters in trust policies expressed by the participants. As already mentioned, the relation between this deliverable and D3.6 is evident, since D.3.6 proposed a WSTO early model, while this deliverable presents WSTO revised and implemented in IRS-III. A web application of WSTO is available at
INTEROPERABILITY BETWEEN DATA MODELS
"... This dissertation was produced in accordance with guidelines which permit the inclusion as part of the dissertation the text of an original paper or papers submitted for publication. The dissertation must still conform to all other requirements explained in the Guide for the Preparation of Masters T ..."
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This dissertation was produced in accordance with guidelines which permit the inclusion as part of the dissertation the text of an original paper or papers submitted for publication. The dissertation must still conform to all other requirements explained in the Guide for the Preparation of Masters Theses and Doctoral Dissertations at The University of Texas at Dallas. It must include a comprehensive abstract, a full introduction and literature review and a final overall conclusion. Additional material (procedural and design data as well as descriptions of equipment) must be provided in sufficient detail to allow a clear and precise judgment to be made of the importance and originality of the research reported. It is acceptable for this dissertation to include as chapters authentic copies of papers already published, provided these meet type size, margin and legibility requirements. In such cases, connecting texts which provide logical bridges between difference manuscripts are mandatory. Where the student is not the sole author of a manuscript, the student is required to make an explicit statement in the introductory material to that manuscript describing the students contribution to the work and acknowledging the contribution of the other author(s). The signatures of the Supervising Committee which precede all other material in
SA. SHEKARPOUR et al: A TRUST MODEL FOR SEMANTIC WEB A Trust Model For Semantic Web
"... Abstract- The last layer in Semantic Web structure is dedicated to the aspects of Trust which deals with uncertainty. In this paper a Trust Model is proposed which evaluates trust between trustor and trustee. This model is associated with two algorithms, an algorithm for propagation and another for ..."
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Abstract- The last layer in Semantic Web structure is dedicated to the aspects of Trust which deals with uncertainty. In this paper a Trust Model is proposed which evaluates trust between trustor and trustee. This model is associated with two algorithms, an algorithm for propagation and another for aggregation. The propagation algorithm utilizes statistical techniques and the aggregation algorithm is based on fuzzy analysis. The proposed technique is named Max-weight method and experimental results are presented to compare and contrast the method with other techniques. Results of experiments clearly illustrate effectiveness and superiority of the proposed approach. Additionally, some of the well known methods of trust modeling and trust evaluation are reviewed and analyzed. A categorization for calculation of trust and an analytical view of possible models of trust rating through a chain of acquaintances are presented. Based on experimental results the well known methods are also compared and contrasted.
oro.open.ac.uk A Trust Based Methodology for Web Service Selection
"... and other research outputs A trust based methodology for web service selection Conference Item How to cite: Galizia, S.; Gugliotta, A. and Domingue, J. (2007). A trust based methodology for web service selection. ..."
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and other research outputs A trust based methodology for web service selection Conference Item How to cite: Galizia, S.; Gugliotta, A. and Domingue, J. (2007). A trust based methodology for web service selection.
