Suchmaschinen werden von Internetusern täglich genutzt. Nach etwas „googeln“ hat es als Synonym für die Suche im Netz nicht nur ins umgangssprachliche Vokabular, sondern auch in den Duden geschafft. Eine Suchmaschine zu bedienen ist einfach und intuitiv – die Anwender geben einen Begriff ein und erwarten, die relevantesten Treffer zu finden. Um diese Erwartungshaltung zu erfüllen, müssen Entwickler von Such-Engines hoch komplexe Beziehungen und logische Prozesse beachten. „Semantische Suche“ ist dafür die Lösung. Dieser Artikel erklärt, was dahinter steckt.
In the last years, users have become used to keyword-based search interfaces due to their ease of use. By matching input keywords against huge amounts of textual information and labeled multimedia files, current search engines satisfy most of users' information needs. However, the principal problem of this kind of search is the semantic gap between the input and the real user need, as keywords are a simplification of the query intended by the user. Moreover, different users could use the same set of keywords to search different information; even the same user could do it at different times. The search system, before accessing any data, should discover first the intended semantics b
ArcGIS Online is a unified Web portal designed by Environment System Research Institute (ESRI). It contains a rich collection of Web maps, layers, and services contributed by GIS users throughout the world. The metadata about these GIS resources reside in data silos that can be accessed via a Web API. While this is sufficient for simple syntax-based searches, it does not support more advanced queries, e.g., finding maps based on the semantics of the search terms, or performing customized queries that are not pre-designed in the API. In metadata, titles and descriptions are commonly available attributes which provide important information about the content of the GIS resources. Ho
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D. Schlör, J. Pfister, und A. Hotho. 2023 the 7th International Conference on Medical and Health Informatics (ICMHI), Seite 136–141. New York, NY, USA, Association for Computing Machinery, (2023)
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