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    • Adams, Ben (6)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Mapping Languages and Demographics with Georeferenced Corpora Adams, Ben; Dunn, Jonathan. - 2019 BASE Show details 2 Juxtaposing thematic regions derived from spatial and platial user-generated content McKenzie, Grant; Adams, Ben. - : Schloss Dagstuhl -- Leibniz-Zentrum fur Informatik, 2017 BASE Show details 3 The observational roots of reference of the semantic web Scheider, Simon; Janowicz, Krzysztof; Adams, Ben. - 2017 BASE Show details 4 Semantic Referencing - Determining Context Weights for Similarity Measurement Adams, Ben; Janowicz, Krzysztof; Raubal, Martin. - : Springer, 2017 Abstract: Semantic similarity measurement is a key methodology in various domains ranging from cognitive science to geographic information retrieval on the Web. Meaningful notions of similarity, however, cannot be determined without taking additional contextual information into account. One way to make similarity measures context-aware is by introducing weights for specific characteristics. Existing approaches to automatically determine such weights are rather limited or require application specific adjustments. In the past, the possibility to tweak similarity theories until they fit a specific use case has been one of the major criticisms for their evaluation. In this work, we propose a novel approach to semi-automatically adapt similarity theories to the user’s needs and hence make them context-aware. Our methodology is inspired by the process of georeferencing images in which known control points between the image and geographic space are used to compute a suitable transformation. We propose to semi-automatically calibrate weights to compute inter-instance and inter-concept similarities by allowing the user to adjust pre-computed similarity rankings. These known control similarities are then used to reference other similarity values. Keyword: communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology; Field of Research::08 - Information and Computing Sciences::0805 - Distributed Computing::080505 - Web Technologies (excl. Web Search); Field of Research::08 - Information and Computing Sciences::0806 - Information Systems::080602 - Computer-Human Interaction; Fields of Research::40 - Engineering::4013 - Geomatic engineering::401302 - Geospatial information systems and geospatial data modelling; Fields of Research::46 - Information and computing sciences::4609 - Information systems::460905 - Information systems development methodologies and practice; Fields of Research::47 - Language; Geo-Semantics; Information Retrieval; morphology and syntax); Semantic Similarity URL: http://hdl.handle.net/10092/14991 BASE Hide details 5 On the Geo-Indicativeness of Non-Georeferenced Text Adams, Ben; Janowicz, Krzysztof. - 2017 BASE Show details 6 Semantic Signatures for Places of Interest Janowicz, Krzysztof; Adams, Ben. - 2017 BASE Show details 7 Effects of Pattern, Spatial Frequency, Number, and Rate of Stimulus Presentatton on the Accuracy of Detection Fleming, Donovan E.; Schofield, Allen C.; Mills, Richard H.... In: Perceptual & motor skills. - Thousand Oaks, CA : SAGE Publications 88 (1999) 2, 693-700 OLC Linguistik Show details

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