The reasons for the lack of uptake of the semantic web amongst ordinary users can be attributed to technology perception, comprehensibility and ease of use. To address these three problems, we believe that the interfa...
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The reasons for the lack of uptake of the semantic web amongst ordinary users can be attributed to technology perception, comprehensibility and ease of use. To address these three problems, we believe that the interfaces to ontology management tools will need to be engineered in such a way as they disappear into the background from the ordinary person's perspective. The majority of the state of the art approaches to ontology mapping relies on the user being ontologically aware. In contrast, this paper reports upon an approach to use 'tagging' as a means of ontology mapping to support ordinary people.
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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Managing networks and services in large virtual enterprises often requires significant expertise to decipher and reconcile information coming from several heterogeneous sources. This presents a significant challenge a...
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As the size of Linked Open data (LOD) increases, the search and access to the relevant LOD resources becomes more challenging. To overcome search difficulties, we propose a novel concept-based search mechanism for the...
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The proliferation of smart home technologies providing home users with digital services presents an interoperability problem. This paper asserts that the value of these services can be greatly extended by enabling tec...
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This paper examines the feasibility of using ontologies to model generic sensor networks, based on the capabilities of the current generation of ontology tools. The creation of such an ontology, the current tool's...
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With the increasing volumes of data, access to the Linked Open data (LOD) becomes a challenging task. Current LOD search engines provide flat result lists, which is not an efficient access method to the Web of data (W...
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With the increasing volumes of data, access to the Linked Open data (LOD) becomes a challenging task. Current LOD search engines provide flat result lists, which is not an efficient access method to the Web of data (WoD). In this demo, we introduce a novel and scalable concept-based search mechanism on the WoD, which allows searching based on meaning of objects. In particular, the retrieved resources are dynamically categorized into UMBEL vocabulary concepts (topics) using a novel fuzzy retrieval model and resources with the same concepts are grouped together to form categories, which we call concept lenses. In addition, search results are presented with hierarchy of categories and concept lenses for easy access to the LOD. Such categorization enables concept-based browsing of the retrieved results aligned to users' intent or interests. Results categorization can also be used to support more effective personalized presentation of search results.
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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