Large-scale complex reasoning with semantics: Approaches and challenges

Grigoris Antoniou, Jeff Z. Pan, Ilias Tachmazidis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


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 - WISE 2013 International Workshops Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC, Revised Selected Papers
PublisherSpringer Verlag
Number of pages10
ISBN (Electronic)9783642543692
Publication statusPublished - 2014
Event14th International Workshop on Web Information Systems Engineering - Nanjing, China
Duration: 13 Oct 201315 Oct 2013
Conference number: 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


Workshop14th International Workshop on Web Information Systems Engineering
Abbreviated titleWISE 2013


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