This paper describes the SimCon (Simulated Context) Generator which combines data on the state of a Virtual Reality building with the SimCon Model to generate interactive location context for the rapid evaluation of S...
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Linked data use has expanded rapidly in recent years;however there is still a lack of support for casual users to create complex queries over this Web of data. Until this occurs, the real benefits of having such rich ...
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Image repositories often contain a large amount of metadata about their content. However many resources, such as photographs, have inherent aesthetic qualities that can be difficult to describe in a semantically consi...
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Efficiently locating learning content and web services for adaptive and personalized online courses is a demanding research area. This paper identifies the key challenges that need to be addressed. An approach is then...
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Community mining is applied in order to identify groups of users which share, e.g., common interests or expertise. This paper presents an approach for mining descriptive patterns in order to characterize communities i...
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Currently the user's web search is disjoint from the resources which is subsequently browsed. Specifically the related instances of the search are not displayed on the following pages. This lack of continuity betw...
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Recent research has demonstrated how the widespread adoption of collaborative tagging systems yields emergent semantics. In recent years, much has been learned about how to harvest the data produced by taggers for eng...
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Recent research has demonstrated how the widespread adoption of collaborative tagging systems yields emergent semantics. In recent years, much has been learned about how to harvest the data produced by taggers for engineering light-weight ontologies. For example, existing measures of tag similarity and tag relatedness have proven crucial step stones for making latent semantic relations in tagging systems explicit. However, little progress has been made on other issues, such as understanding the different levels of tag generality (or tagabstrcatsness), which is essential for, among others, identifying hierarchical relationships between concepts. In this paper we aim to address this gap. Starting from a review of linguistic definitions of wordabstrcatness, we first use several large-scale ontologies and taxonomies as grounded measures of word generality, including Yago, Wordnet, DMOZ and Wikitaxonomy. Then, we introduce and apply several folksonomy-based methods to measure the level of generality of given tags. We evaluate these methods by comparing them with the grounded measures. Our results suggest that the generality of tags in social tagging systems can be approximated with simple measures. Our work has implications for a number of problems related to social tagging systems, including search, tag recommendation, and the acquisition of light-weight ontologies from tagging data.
This paper presents an overview on the VIKAMINE1 system, an open-source Eclipsebased2 mining environment. VIKAMINE focuses on efficient and effective techniques for pattern mining and subgroup discovery;it is implemen...
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This paper presents an overview on the VIKAMINE1 system, an open-source Eclipsebased2 mining environment. VIKAMINE focuses on efficient and effective techniques for pattern mining and subgroup discovery;it is implemented as rich-client platform (RCP) application, providing a solid framework for high extensibility. We present the system and sketch applications in medical and technical domains.
One of the key motivating factors for information providers to use personalisation is to maximise the benefit to the user in accessing their content. However, traditionally such systems have focussed on mainly corpora...
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Personalized search and browsing is increasingly vital especially for enterprises to able to reach their customers. Key challenge in supporting personalization is the need for rich metadata such as cognitive metadata ...
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