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- W2597359275 abstract "The problem of syntactic heterogeneity among geographicdatasets emerged as a result of native data formats and thedevelopment of monolithic and proprietary systems. AlthoughSDIs provide the basis for syntactic interoperability theusability of information that is created in one context hasoften limited use in other contexts. One important reason forthis is semantic heterogeneity. This problem could be solvedusing ontologies and their implementation in the context ofcartographic visualization. The first step is to identify andanalyze existing problems caused by semantic heterogeneity inseveral risk management use cases. Based on results of thisanalysis, the project focuses on developing methods forovercoming these problems during service discovery, compositionand execution. The viability of the developed approaches willbe illustrated by prototypically implemented web services forintelligent search and semantic translation and by applyingthem to the use cases. This paper describes the basis of thecontext cartographic visualization and also ontologies withfocus on geographic ontologies. There is a need for explicitspecification of ontology that supports understanding, sharingand exchange between different users and databases. The basicrequirement is the possibility of ontology formulation in otherlanguages. A key aim in geographic ontology is the developmentof a search engine that displays some intelligence in theinterpretation of geographical terminology. The assumption isthat people may wish to find information about something thatrelates to somewhere. It is also proposed that ontology shouldbe used to assist in a process of metadata extraction wherebythe geographical context of resources is determined for thepurpose of search engine indexing as well as providing thepotential to annotate a resource to improve its futuregeographical visibility. One aspect of generalization concernsthe semantic level of detail. In general it can be assumed thatpeople are interested in information at different levels ofsemantic detail. In order to be really useful and beneficial,the ontology should therefore be able to encode geographic dataat multiple levels of semantic generalization. This researchhas been supported by funding from Project No. MSM0021622418called Dynamic geovisualization in risk management." @default.
- W2597359275 created "2017-03-23" @default.
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- W2597359275 date "2007-01-01" @default.
- W2597359275 modified "2023-09-26" @default.
- W2597359275 title "Ontologies in Risk Management" @default.
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