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Titlebook: Knowledge Engineering and Knowledge Management; 19th International C Krzysztof Janowicz,Stefan Schlobach,Eero Hyv?nen Conference proceeding

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51#
發(fā)表于 2025-3-30 09:12:45 | 只看該作者
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發(fā)表于 2025-3-30 23:15:16 | 只看該作者
Information Flow within Relational Multi-context Systems,eneric constructions to achieve specific forms of interaction in a principled way, and systematize some useful techniques to work with ontologies within an MCS. All these mechanisms are presented in the form of general-purpose design patterns. Their study also suggests new ways in which this framewo
55#
發(fā)表于 2025-3-31 03:41:49 | 只看該作者
Using Linked Data to Diversify Search Results a Case Study in Cultural Heritage,ke this study in the domain of cultural heritage. The data consists of collection data of the Rijksmuseum Amsterdam together with a number of relevant external vocabularies, which are all published as Linked Data. We apply an existing graph search algorithm to this data, using entries from the museu
56#
發(fā)表于 2025-3-31 08:08:23 | 只看該作者
Personalised Access to Linked Data,Data acquisition, publishing and interlinking. Nevertheless, due to the huge and diverse amount of information, the actual access to a piece of information in the LOD cloud still demands significant amount of effort. In this paper, we present a novel configurable method for personalised access to Li
57#
發(fā)表于 2025-3-31 09:31:28 | 只看該作者
Roadmapping and Navigating in the Ontology Visualization Landscape,eatures. We analyzed several visualization tools from the perspective of use case categories as well as low-level functional features and OWL expressiveness. A rule-based recommender was subsequently developed to help the user choose a suitable visualizer. Both the analysis results and the recommend
58#
發(fā)表于 2025-3-31 14:00:54 | 只看該作者
59#
發(fā)表于 2025-3-31 20:42:41 | 只看該作者
60#
發(fā)表于 2025-4-1 00:37:42 | 只看該作者
,The uComp Protégé Plugin: Crowdsourcing Enabled Ontology Engineering, used as external means to ontology engineering, without being closely integrated into the work of ontology engineers. In this paper we investigate how to closely integrate crowdsourcing into ontology engineering practices. Firstly, we show that a set of basic crowdsourcing tasks are used recurrentl
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