An inference based query engine for RDF data

Farouk, Mamdouh; Ishizuka, Mitsuru

doi:10.1109/infrkm.2012.6205001

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2016

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“…The information stored in Infoboxes is provided in RDF (Resource Descriptive Framework) format [2]. The concept is to develop a query engine [3] that can fetch the desired information from Wikipedia and provide the same in a structured manner [4]. The precise information needed for developing such interface can be found in Wikipedia Infoboxes.…”

Section: Introductionmentioning

confidence: 99%

A Novel Framework for Extracting GeoSpatial Information Using SPARQL Query and Multiple Header Extraction Sources

Malpani

Bassi

Mahrishi

et al. 2016

Proceedings of the International Conference on Recent Cognizance in Wireless Communication &Amp; Image Processing

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In the current digital world, where all the data is available digitally, data extraction has become quite a massive field of research. Web mining uses the data mining techniques to discover knowledge from the Web. Such sort of technique can be very useful in some applications which require massive and updated data. One of such applications that can deploy such an expertise automated query engine having a user-friendly graphical interface that can provide data regarding competitive exams. This paper proposes such a system that is more appropriate and advanced as it fetches data directly from one of the largest regularly updated database, i.e. Wikipedia.

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Section: Introductionmentioning

confidence: 99%