The quest for parallel reasoning on the semantic web

Peiqiang Li, Yi Zeng, Spyros Kotoulas, Jacopo Urbani, Ning Zhong

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

Abstract

Traditional reasoning tools for the Semantic Web cannot cope with Web scale data. One major direction to improve performance is parallelization. This article surveys existing studies, basic ideas and mechanisms for parallel reasoning, and introduces three major parallel applications on the Semantic Web: LarKC, MaRVIN, and Reasoning-Hadoop. Furthermore, this paper lays the ground for parallelizing unified search and reasoning at Web scale.

Original languageEnglish
Title of host publicationActive Media Technology - 5th International Conference, AMT 2009, Proceedings
Pages430-441
Number of pages12
DOIs
Publication statusPublished - 1 Dec 2009
Event5th International Conference on Active Media Technology, AMT 2009 - Beijing, China
Duration: 22 Oct 200924 Oct 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5820 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Active Media Technology, AMT 2009
CountryChina
CityBeijing
Period22/10/0924/10/09

Fingerprint

Semantic Web
Reasoning
Parallel Applications
Parallelization

Cite this

Li, P., Zeng, Y., Kotoulas, S., Urbani, J., & Zhong, N. (2009). The quest for parallel reasoning on the semantic web. In Active Media Technology - 5th International Conference, AMT 2009, Proceedings (pp. 430-441). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5820 LNCS). https://doi.org/10.1007/978-3-642-04875-3_45
Li, Peiqiang ; Zeng, Yi ; Kotoulas, Spyros ; Urbani, Jacopo ; Zhong, Ning. / The quest for parallel reasoning on the semantic web. Active Media Technology - 5th International Conference, AMT 2009, Proceedings. 2009. pp. 430-441 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{d43e9f5f8afe46bb9d3d481566cf9d65,
title = "The quest for parallel reasoning on the semantic web",
abstract = "Traditional reasoning tools for the Semantic Web cannot cope with Web scale data. One major direction to improve performance is parallelization. This article surveys existing studies, basic ideas and mechanisms for parallel reasoning, and introduces three major parallel applications on the Semantic Web: LarKC, MaRVIN, and Reasoning-Hadoop. Furthermore, this paper lays the ground for parallelizing unified search and reasoning at Web scale.",
author = "Peiqiang Li and Yi Zeng and Spyros Kotoulas and Jacopo Urbani and Ning Zhong",
year = "2009",
month = "12",
day = "1",
doi = "10.1007/978-3-642-04875-3_45",
language = "English",
isbn = "9783642048746",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "430--441",
booktitle = "Active Media Technology - 5th International Conference, AMT 2009, Proceedings",

}

Li, P, Zeng, Y, Kotoulas, S, Urbani, J & Zhong, N 2009, The quest for parallel reasoning on the semantic web. in Active Media Technology - 5th International Conference, AMT 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5820 LNCS, pp. 430-441, 5th International Conference on Active Media Technology, AMT 2009, Beijing, China, 22/10/09. https://doi.org/10.1007/978-3-642-04875-3_45

The quest for parallel reasoning on the semantic web. / Li, Peiqiang; Zeng, Yi; Kotoulas, Spyros; Urbani, Jacopo; Zhong, Ning.

Active Media Technology - 5th International Conference, AMT 2009, Proceedings. 2009. p. 430-441 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5820 LNCS).

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

TY - GEN

T1 - The quest for parallel reasoning on the semantic web

AU - Li, Peiqiang

AU - Zeng, Yi

AU - Kotoulas, Spyros

AU - Urbani, Jacopo

AU - Zhong, Ning

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Traditional reasoning tools for the Semantic Web cannot cope with Web scale data. One major direction to improve performance is parallelization. This article surveys existing studies, basic ideas and mechanisms for parallel reasoning, and introduces three major parallel applications on the Semantic Web: LarKC, MaRVIN, and Reasoning-Hadoop. Furthermore, this paper lays the ground for parallelizing unified search and reasoning at Web scale.

AB - Traditional reasoning tools for the Semantic Web cannot cope with Web scale data. One major direction to improve performance is parallelization. This article surveys existing studies, basic ideas and mechanisms for parallel reasoning, and introduces three major parallel applications on the Semantic Web: LarKC, MaRVIN, and Reasoning-Hadoop. Furthermore, this paper lays the ground for parallelizing unified search and reasoning at Web scale.

UR - http://www.scopus.com/inward/record.url?scp=77949595757&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77949595757&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-04875-3_45

DO - 10.1007/978-3-642-04875-3_45

M3 - Conference contribution

SN - 9783642048746

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

SP - 430

EP - 441

BT - Active Media Technology - 5th International Conference, AMT 2009, Proceedings

ER -

Li P, Zeng Y, Kotoulas S, Urbani J, Zhong N. The quest for parallel reasoning on the semantic web. In Active Media Technology - 5th International Conference, AMT 2009, Proceedings. 2009. p. 430-441. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-04875-3_45