BibSonomyburst/user/eswc2008/mappingBibSonomy RSS feed for /user/eswc2008/mapping2012-02-16T10:10:26+01:00http://www.bibsonomy.org/bibtex/2fca5d5336ff217df587d9d20fce0b872/eswc2008eswc20082008-05-28T14:49:55+02:00query mapping spatio-temporal ontology annotation change applications-2 <span class="authorEditorList"><a href="/author/Kauppinen">Tomi Kauppinen</a>, <a href="/author/Väätäinen">Jari Väätäinen</a>, and <a href="/author/Hyvönen">Eero Hyvönen</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:55 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSCreating and Using Geospatial Ontology Time Series in a Semantic Cultural Heritage Portal2008query mapping spatio-temporal ontology annotation change applications-2 Content annotations in semantic cultural heritage portals commonly make spatiotemporal references to historical regions and places using names whose meanings are different in different times. For example, historical administrational regions such as countries, municipalities, and cities have been renamed, merged together, split into parts, and annexed or moved to and from other regions. Even if the names of the regions remain the same (e.g., “Germany”), the underlying regions and their relationships to other regions may change (e.g., the regional coverage of “Germany” at different times). As a result, representing and finding the right ontological meanings for historical geographical names on the semantic web creates severe problems both when annotating contents and during information retrieval. This paper presents a model for representing the meaning of changing geospatial resources. Our aim is to enable precise annotation with temporal geospatial resources and to enable semantic search and browsing using related names from other historical time periods. A simple model and metadata schema is presented for representing and maintaining geospatial changes from which an explicit time series of temporal part-of ontologies can be created automatically. The model has been applied successfully to representing the complete change history of municipalities in Finland during 1865–2007, and the resulting ontology time series is used in the semantic cultural heritage portal CULTURESAMPO to support faceted semantic search of contents and to visualizing historical regions on overlaying maps originating from different historical eras.http://www.bibsonomy.org/bibtex/22042ef8759afd27e1d86a87c67e13e4f/eswc2008eswc20082008-05-28T14:49:55+02:00matching mapping probabilistic logics description ontology reasoning formal-languages-1 <span class="authorEditorList"><a href="/author/Castano">Silvana Castano</a>, <a href="/author/Ferrara">Alfio Ferrara</a>, <a href="/author/Lorusso">Davide Lorusso</a>, <a href="/author/Näth">Tobias Henrik Näth</a>, and <a href="/author/Moeller">Ralf Moeller</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:55 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSMapping Validation by Probabilistic Reasoning2008matching mapping probabilistic logics description ontology reasoning formal-languages-1 In the semantic web environment, where two or more independent ontologies can be used in order to describe knowledge and data, ontologies have to be aligned by defining mappings among the elements of one ontology and the elements of another ontology. Very often, mappings are not derived by the semantics of the ontologies that are compared, but, rather, by an evaluation of the similarity of the terminology used in the two ontologies or of their syntactic structure. Moreover, ontology mappings can be inaccurate, because ontology matching tools derive such mappings from inaccurate terminology or even because they are not specifically tailored for the domain at hand. In this paper, we propose a new mapping validation approach for interpreting similarity-based mappings as semantic relations, by coping also with inaccuracy situations. The idea is to see two independent ontologies as a unique distributed knowledge base and to assume a semantic interpretation of ontology mappings as probabilistic and hypothetical relations among ontology elements. We present and use a probabilistic reasoning tool in order to validate mappings and to possibly infer new relations among the ontologies.http://www.bibsonomy.org/bibtex/28d3ba133363062de93ffecfd805ce450/eswc2008eswc20082008-05-28T14:49:53+02:00thesauri mapping ontology mash-up application service applications-1 <span class="authorEditorList"><a href="/author/Hyvönen">Eero Hyvönen</a>, <a href="/author/Viljanen">Kim Viljanen</a>, <a href="/author/Tuominen">Jouni Tuominen</a>, and <a href="/author/Seppälä">Katri Seppälä</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:53 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSBuilding a National Semantic Web Ontology and Ontology Service Infrastructure----The FinnONTO Approach2008thesauri mapping ontology mash-up application service applications-1 This article presents the vision and a framework for creating a national level ontology and ontology service infrastructure in Finland. Core parts of the system and ontologies have been implemented in a national project FinnONTO 2003-2007 funded by 37 companies and public organizations, and are being used it practice for creating semantic portals for eCulture, eHealth, eLearning, and eGovernment. The novelty of the FinnONTO infrastructure is based on two ideas. First, a system national of open source core ontologies is being developed by transforming thesauri in use into lightweight ontologies. The system is based an a large cross-domain top ontology, the General Finnish Ontology YSO, that is then extended by domain specific ontologies aligned with YSO and each other. Collaborative development of such a system of mutually aligned ontologies is supported for obtaining interoperability in their usage in applications. Second, the ONKI Ontology Server framework for publishing ontologies as ready to use services has been implemented. In contrast to earlier ontology servers, ONKI provides legacy and other applications with ready to use functionalities for using ontologies on the HTML level by Ajax and semantic widgets. The idea is to use ONKI for creating mash-up applications in a way analogous to using Google, Yahoo, or Nokia Maps, but in our case external applications are mashed-up with ontology support for, e.g, indexing content or semantic search using semantic autocompletion and disambiguation in a multi-lingual context.