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

1 Citation (Scopus)

Abstract

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 Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC, Revised Selected Papers
EditorsZhisheng Huang, Chengfei Liu, Jing He, Guangyan Huang
PublisherSpringer-Verlag
Pages1-10
Number of pages10
Volume8182
ISBN (Electronic)9783642543708
ISBN (Print)9783642543692
DOIs
Publication statusPublished - 2014
Event14th International Workshops on Web Information Systems Engineering, WISE 2013 with Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC - Nanjing, China
Duration: 13 Oct 201315 Oct 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8182
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference14th International Workshops on Web Information Systems Engineering, WISE 2013 with Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC
CountryChina
CityNanjing
Period13/10/1315/10/13

Fingerprint

Reasoning
Semantics
Sensors
Nonmonotonic Reasoning
Social Media
MapReduce
Noisy Data
Decision Support
Inconsistent
Infrastructure
High Performance
Sensor
Computing
Alternatives
Knowledge

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Antoniou, G., Pan, J. Z., & Tachmazidis, I. (2014). Large-scale complex reasoning with semantics: Approaches and challenges. In Z. Huang, C. Liu, J. He, & G. Huang (Eds.), Web Information Systems Engineering - WISE 2013 Workshops: WISE 2013 International Workshops Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC, Revised Selected Papers (Vol. 8182, pp. 1-10). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8182). Springer-Verlag. https://doi.org/10.1007/978-3-642-54370-8_1

Large-scale complex reasoning with semantics : Approaches and challenges. / Antoniou, Grigoris; Pan, Jeff Z.; Tachmazidis, Ilias.

Web Information Systems Engineering - WISE 2013 Workshops: WISE 2013 International Workshops Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC, Revised Selected Papers. ed. / Zhisheng Huang; Chengfei Liu; Jing He; Guangyan Huang. Vol. 8182 Springer-Verlag, 2014. p. 1-10 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8182).

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

Antoniou, G, Pan, JZ & Tachmazidis, I 2014, Large-scale complex reasoning with semantics: Approaches and challenges. in Z Huang, C Liu, J He & G Huang (eds), Web Information Systems Engineering - WISE 2013 Workshops: WISE 2013 International Workshops Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC, Revised Selected Papers. vol. 8182, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8182, Springer-Verlag, pp. 1-10, 14th International Workshops on Web Information Systems Engineering, WISE 2013 with Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC, Nanjing, China, 13/10/13. https://doi.org/10.1007/978-3-642-54370-8_1
Antoniou G, Pan JZ, Tachmazidis I. Large-scale complex reasoning with semantics: Approaches and challenges. In Huang Z, Liu C, He J, Huang G, editors, Web Information Systems Engineering - WISE 2013 Workshops: WISE 2013 International Workshops Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC, Revised Selected Papers. Vol. 8182. Springer-Verlag. 2014. p. 1-10. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-54370-8_1
Antoniou, Grigoris ; Pan, Jeff Z. ; Tachmazidis, Ilias. / Large-scale complex reasoning with semantics : Approaches and challenges. Web Information Systems Engineering - WISE 2013 Workshops: WISE 2013 International Workshops Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC, Revised Selected Papers. editor / Zhisheng Huang ; Chengfei Liu ; Jing He ; Guangyan Huang. Vol. 8182 Springer-Verlag, 2014. pp. 1-10 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{308ecdadebc14de689ac50df3b5d411e,
title = "Large-scale complex reasoning with semantics: Approaches and challenges",
abstract = "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.",
author = "Grigoris Antoniou and Pan, {Jeff Z.} and Ilias Tachmazidis",
year = "2014",
doi = "10.1007/978-3-642-54370-8_1",
language = "English",
isbn = "9783642543692",
volume = "8182",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "1--10",
editor = "Zhisheng Huang and Chengfei Liu and Jing He and Guangyan Huang",
booktitle = "Web Information Systems Engineering - WISE 2013 Workshops",

}

TY - GEN

T1 - Large-scale complex reasoning with semantics

T2 - Approaches and challenges

AU - Antoniou, Grigoris

AU - Pan, Jeff Z.

AU - Tachmazidis, Ilias

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84927521621&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-54370-8_1

DO - 10.1007/978-3-642-54370-8_1

M3 - Conference contribution

SN - 9783642543692

VL - 8182

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 1

EP - 10

BT - Web Information Systems Engineering - WISE 2013 Workshops

A2 - Huang, Zhisheng

A2 - Liu, Chengfei

A2 - He, Jing

A2 - Huang, Guangyan

PB - Springer-Verlag

ER -