A Comparison of Several Triple stores in the Semantic Web

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 508

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شناسه ملی سند علمی:

IKMC07_414

تاریخ نمایه سازی: 9 مرداد 1395

چکیده مقاله:

The increasing interest in the Semantic Web has motivated a lot of recent research in various areas. One of those areas is working and managing high volume of data. As the volume of raw data increases traditional data processing methodologies, especially those involving manual manipulation are becoming increasingly difficult to manage. This paper present a brief information about various triple stores: Virtuoso, Jena, Mulgara, Bigdata, Sesame, Garlik 4store and BigOWLIM. Then we present the result of comparing characteristics and performance of the triple store. We also discuss the suitability and performance of the triple store when used. We finally conclude the differences and advantages of several triple stores mentioned and usage of each

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نویسندگان

Ferdos Hatami Lankarani

Sharif University of Technology Tehran.Iran