Exploring Semantic Hits
This event took place on Wednesday 06 May 2009 at 11:30
Thomas Ullmann KMi, The Open University
SemSearchXplorer is a toolkit for the exploration of semantic data. The goal is to lower barriers to access information in semantic data
repositories. Therefore SemSearchXplorer supports the user in three respects: (1) It supports querying of the semantic data with a keyword based approach, so the users do not need to learn a semantic query language, (2) it helps users finding relevant results on the one hand by semantic enriched information about the results and on the other hand with semantic filter options to narrow down the set of results, and (3) it provides information exploration capabilities through semantic visualizations recommended by the system. Filtering of semantic search results helps to narrow down the result set to a more manageable amount of information. SemSearchXplorer uses a class filter and a filter based on the key concepts of an ontology to support filtering of information. Besides the searching for relevant information, facilities for the exploration of the results help users to gain insight in the context of results. With several semantic visualizations, we try to help users making sense of the raw data. Based on the assumption that there is no single visualization that fit all exploration needs, SemSearchXplorer recommends visualizations based on the selected information of users.
This event took place on Wednesday 06 May 2009 at 11:30
SemSearchXplorer is a toolkit for the exploration of semantic data. The goal is to lower barriers to access information in semantic data
repositories. Therefore SemSearchXplorer supports the user in three respects: (1) It supports querying of the semantic data with a keyword based approach, so the users do not need to learn a semantic query language, (2) it helps users finding relevant results on the one hand by semantic enriched information about the results and on the other hand with semantic filter options to narrow down the set of results, and (3) it provides information exploration capabilities through semantic visualizations recommended by the system. Filtering of semantic search results helps to narrow down the result set to a more manageable amount of information. SemSearchXplorer uses a class filter and a filter based on the key concepts of an ontology to support filtering of information. Besides the searching for relevant information, facilities for the exploration of the results help users to gain insight in the context of results. With several semantic visualizations, we try to help users making sense of the raw data. Based on the assumption that there is no single visualization that fit all exploration needs, SemSearchXplorer recommends visualizations based on the selected information of users.
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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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