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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Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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