Introducing fuzzy trust for managing belief conflict over semantic web data

Interpreting Semantic Web Data by different human experts can end up in scenarios, where each expert comes up with different and conflicting ideas what a concept can mean and how they relate to other concepts. Software agents that operate on the Semantic Web have to deal with similar scenarios where the interpretation of Semantic Web data that describes the heterogeneous sources becomes contradicting. One such application area of the Semantic Web is ontology mapping where different similarities have to be combined into a more reliable and coherent view, which might easily become unreliable if the conflicting beliefs in similarities are not managed effectively between the different agents. In this paper we propose a solution for managing this conflict by introducing trust between the mapping agents based on the fuzzy voting model

Towards an Automatic Semantic Data Integration: Multi-agent Framework Approach

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DSSim - managing uncertainty on the Semantic Web

Managing uncertainty on the Semantic Web can potentially improve the ontology mapping precision which can lead to better acceptance of systems that operate in this environment. Further ontology mapping in the context of Question Answering can provide more correct results if the mapping process can deal with uncertainty effectively that is caused by the incomplete and inconsistent information used and produced by the mapping process. In this paper we introduce our algorithm called “DSSim” and describe the improvements that we have made compared to OAEI 2006

Uncertainty handling in the context of ontology mapping for question answering

This paper describes a framework for integrating similarity measures and Dempster-Shafer belief functions for data integration in the context of multi agent ontology mapping. In order to incorporate uncertainty inherent to the ontology mapping process, we propose utilizing the Dempster-Shafer model for dealing with incomplete and uncertain information produced during the mapping. A novel approach is presented how assessing belief can influence the similarities originally created by both syntactic and semantic similarity algorithms. Our approach is an alternative to the classical Bayesian reasoning which has been investigated for improving the efficiency of creating ontology mappings

Ontology Mapping with domain specific agents in the AQUA Question Answering System

This paper describes a domain specific multi-agent ontology-mapping solution in the AQUA query answering system. In order to incorporate uncertainty inherent to the mapping process, the system uses the Dempster-Shafer model for dealing with incomplete and uncertain information produced during the mapping. A novel approach is presented how specialized agents with partial local knowledge of the particular domain achieve ontology mapping without creating global or reference ontology. Our approach is particularly fit for a query-answering scenario, where answer needs to be created in real time to satisfy a query posed by the user

DSSim-ontology mapping with uncertainty

This paper introduces an ontology mapping system that is used with a multi agent ontology mapping framework in the context of question answering. Our mapping algorithm incorporates the Dempster Shafer theory of evidence into the mapping process in order to improve the correctness of the mapping. Our main objective was to assess how applying the belief function can improve correctness of the ontology mapping through combining the similarities which were originally created by both syntactic and semantic similarity algorithms. We carried out experiments with the data sets of the Ontology Alignment Evaluation Initiative 2006 which served as a test bed to assess both the strong and weak points of our system. The experiments confirm that our algorithm performs well with both concept and property names

Uncertain reasoning for creating ontology mapping on the Semantic Web

Mapping ontologies with high precision on the Semantic Web is a challenging problem that needs to be addressed in various domains. One of the main problems with any mapping process, which needs to be applied on different domains is that it always has a certain degree of uncertainty associated with it. In this paper we introduce a method based on Dempster-Shafer theory that use uncertain reasoning over the possible mappings in order to select the best possible mapping without using any heuristic or domain specific rules

SURFACE TREATMENT AND EXAMINATION OF GRADE 2 AND GRADE 5 TITANIUM

Surface characteristics play an important role in the implant-bone integration that is required for the long-term reliability of dental and orthopedic implants. In this paper, we investigate the effect of acid etching on the mass reduction and roughness of grade 2 and grade 5 Ti under controlled experimental conditions. Three different etching compounds were investigated: 30% HCl, 85% H3PO4 and the compound of 30% (COOH)2 × 2H2O and 30% H2O2 in various treatment intervals under controlled temperature. Stereo microscopy, scanning electron microscopy, roughness and weight measurements were carried out on the samples. We found that neither 85% H3PO4 nor the compound of 30% (COOH)2 × 2H2O and 30% H2O2 were able to remove the machining marks from the surface of Ti discs in our experimental setting. On the other hand, etching in 30% HCl yielded even surfaces both on Ti grade 2 and 5 discs. We also found that etching at higher temperatures in 30% HCl resulted in significant mass loss