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International Conference on Web Intelligence, Mining and Semantics (WIMS'11)
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International Conference on Web Intelligence, Mining and Semantics (WIMS'11) The International Conference on Web Intelligence, Mining and Semantics (WIMS'11) will be organised under the auspices of Western Norway Research Institute. The conference will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Web intelligence, Web mining and Web semantics. -
DC-2010 Conference Home -
Tupelo Semantic Content Repository
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Tupelo Semantic Content Repository Tupelo is a data and metadata management system based on semantic web technologies. Tupelo provides a variety of generic utilities for managing data and metadata using both best-of-breed semantic database implementations such as Jena and Sesame, as well as ordinary storage technologies such as flat files. Tupelo makes data and metadata portable across a variety of Contexts and deployment scenarios, including desktop applications, web-based applications, and more complex distributed architectures. Its use of global identification and explicit semantics means that metadata created and managed with Tupelo can be easily exported and used by a wide variety of RDF-aware tools and technologies. -
Roundhay Garden Scene The earliest celluloid film was shot by Louise Le Prince using the Le Prince single-lens camera made in 1888. It was taken in the garden of the Whitley family house in Oakwood Grange Road, Roundhay, a suburb of Leeds, Yorkshire, Great Britain, possibly on October 14, 1888. It shows Adolphe Le Prince (Le Prince's son), Mrs. Sarah Whitley, (Le Prince's mother-in-law), Joseph Whitley and Miss Harriet Hartley. The 'actors' are shown walking around in circles, laughing to themselves and keeping within the area framed by the camera. It lasts for less than 2 seconds and includes 24 frames. Louis Aimé Augustin Le Prince -
AuthorMapper - Scientific Research and Author Locations Globally
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AuthorMapper - Scientific Research and Author Locations Globally AuthorMapper searches journal articles and plots the location of the authors on a map. Springer -
Concept map "Planning" Concept map specifying topics that should be covered by students in the Planning seminar Oleg Rostanin -
Web 3.0: Convergence of Web 2.0 and the Semantic Web
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Web 3.0: Convergence of Web 2.0 and the Semantic Web The World Wide Web (WWW) has drastically improved access to digitally stored information. However, content in the WWW has so far only been machine-readable but not machineunderstandable. Since information in the WWW is mostly represented in natural language, the available documents are only fully understandable by human beings. The Semantic Web is based on the content-oriented description of digital documents with standardized vocabularies that provide machine understandable semantics. The result is the transformation from a Web of Links into a Web of Meaning/Semantic Web [1]. On the other hand, the traditional Web 1.0 has recently undergone an orthogonal shift into a Web of People/Web 2.0 where the focus is set on folksonomies, collective intelligence, and the wisdom of groups (see arrow B in Fig. 1). Only the combined muscle of semantic web technologies and broad user participation will ultimately lead to a Web 3.0, with completely new business opportunities in all segments of the ITC market. Wolfgang Wahlster, Andreas Dengel et al Attribution-NonCommercial-ShareAlike License (CC BY-NC-SA) -
E-Learning in a Nutshell E-Learning in a Nutshell is a blog for sharing my ideas, visions, insights of my daily work, and whatever I find worth to mention in the world of E-Learning and Knowledge Management. Martin Memmel Attribution-NonCommercial-ShareAlike License (CC BY-NC-SA) -
シンポジウム | 人とロボットの共生による協創社会の創成「人ロボット共生学」
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シンポジウム | 人とロボットの共生による協創社会の創成「人ロボット共生学」 科学研究費補助金(新学術領域研究) 平成21年度~25年度 -
Local Outlier Factor - Wikipedia, the free encyclopedia
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Local Outlier Factor - Wikipedia, the free encyclopedia Local Outlier Factor (LOF) is an anomaly detection algorithm presented as "LOF: Identifying Density-based Local Outliers" by Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng and Jörg Sander[1]. The key idea of LOF is comparing the local density of a point's neighborhood with the local density of its neighbors.