Large-Scale Complex Reasoning with Semantics: Approaches and Challenges

Grigoris Antoniou, Jeff Z. Pan, Ilias Tachmazidis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Huge amounts of data are generated by sensor readings, social media and databases. Such data introduce new challenges due to their volume and variety, and thus, new techniques are required for their utilization. We believe that reasoning can facilitate the extraction of new and useful knowledge. In particular, we may apply reasoning in order to make and support decisions, clean noisy data and derive high-level information from low-level input data. In this work we discuss the problem of large-scale reasoning over incomplete or inconsistent information, with an emphasis on nonmonotonic reasoning. We outline previous work, challenges and possible solutions, both over MapReduce and alternative high performance computing infrastructures.
Original languageEnglish
Title of host publicationWeb Information Systems Engineering -- WISE 2013 Workshops
Subtitle of host publicationWISE 2013 International Workshops BigWebData, MBC, PCS, STeH, QUAT, SCEH, and STSC 2013, Nanjing, China, October 13-15, 2013, Revised Selected Papers
EditorsZhisheng Huang, Chengfei Liu, Jing He, Guangyan Huang
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Number of pages10
ISBN (Electronic)978-3-642-54370-8
ISBN (Print)978-3-642-54369-2
Publication statusPublished - 25 Feb 2014
Event14th International Conference on Web Information System Engineering - Nanjing, China
Duration: 13 Oct 201315 Oct 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer, Berlin, Heidelberg
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th International Conference on Web Information System Engineering
Abbreviated titleWISE 2013
Internet address


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