On Implementing Temporal Query Answering in DL-Lite (extended abstract)

Veronika Thost, Jan Holste, Özgür Lütfü Özcep


Temporal information plays a central role in many applications of ontology-based data access (OBDA). For example, knowledge about the past is usually kept in patient records, and collected by companies or scientific projects as MesoWest4 , focusing on weather data. Such applications obviously benefit from using ontologies for data integration and access (e.g., the wind force ‘Storm’ on the well-known Beaufort Wind Force Scale is equally characterized by wind speed and wave height, which can be represented by a general concept inclusion as HighWindSpeed t HighWaves v Storm). Temporal knowledge is however not taken into account by systems implementing OBDA, in general. Though, assuming that we consider several weather stations’ data of the past 24 hours, a query such as the following could be interesting: “Get the heritage sites that are nearby a weather station, for which at some time in the past (24 hours) a danger of a hurricane was detected, since then, the wind force has been continuously very high, and it increased considerably during the two latest times of observation.”
Original languageEnglish
Title of host publicationProceedings of the 28th International Workshop on Description Logics, Athens,Greece, June 7-10, 2015.
EditorsDiego Calvanese, Boris Konev
Number of pages4
Publication date01.06.2015
Publication statusPublished - 01.06.2015
Event28th International Workshop on Description Logics
- Athens, Greece
Duration: 07.06.201510.06.2015
Conference number: 124066


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