Tech Reports
Tech Report kmi-08-05 Abstract
Probabilistic Methods for Data Integration in a Multi-Agent Query Answering System
Techreport ID: kmi-08-05
Date: 2008
Author(s): Miklos Nagy, Maria Vargas-Vera, Enrico Motta
This report describes the progress that has been achieved during the second year (full time equivalent 1 July 2006 - 1 July 2008) of our Ph.D. research. All the work has been built upon the achievements of the first year and confirmed that the original research objectives were correctly identified at the beginning of the research. We have successfully participated in the Ontology Mapping Evaluation Initiative 2006 and 2007 (2008 ongoing activity), which provided a qualitative comparison of our and other ontology mapping systems. Further it created a possibility to identify our future research work that needs to be carried out in order to achieve our original research objectives that were set out in the formal Ph.D. research proposal. The organization of this report corresponds to original research proposal. The last section describes the thesis outline.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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