Large-Scale Complex Reasoning with Semantics: Approaches and Challenges

Grigoris Antoniou; Jeff Z. Pan; Ilias Tachmazidis

doi:10.1007/978-3-642-54370-8_1

Large-Scale Complex Reasoning with Semantics: Approaches and Challenges

Grigoris Antoniou, Jeff Z. Pan, Ilias Tachmazidis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	Web Information Systems Engineering -- WISE 2013 Workshops
Subtitle of host publication	WISE 2013 International Workshops BigWebData, MBC, PCS, STeH, QUAT, SCEH, and STSC 2013, Nanjing, China, October 13-15, 2013, Revised Selected Papers
Editors	Zhisheng Huang, Chengfei Liu, Jing He, Guangyan Huang
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	1-10
Number of pages	10
ISBN (Electronic)	978-3-642-54370-8
ISBN (Print)	978-3-642-54369-2
DOIs	https://doi.org/10.1007/978-3-642-54370-8_1
Publication status	Published - 25 Feb 2014
Event	14th International Conference on Web Information System Engineering - Nanjing, China Duration: 13 Oct 2013 → 15 Oct 2013 http://wise2013.njue.edu.cn/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer, Berlin, Heidelberg
Volume	8182
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Web Information System Engineering
Abbreviated title	WISE 2013
Country/Territory	China
City	Nanjing
Period	13/10/13 → 15/10/13
Internet address	http://wise2013.njue.edu.cn/

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10.1007/978-3-642-54370-8_1Licence: All Rights Reserved

https://link.springer.com/chapter/10.1007/978-3-642-54370-8_1Licence: All Rights Reserved

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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 BigWebData, MBC, PCS, STeH, QUAT, SCEH, and STSC 2013, Nanjing, China, October 13-15, 2013, Revised Selected Papers (pp. 1-10). (Lecture Notes in Computer Science; Vol. 8182). Springer. 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 BigWebData, MBC, PCS, STeH, QUAT, SCEH, and STSC 2013, Nanjing, China, October 13-15, 2013, Revised Selected Papers. editor / Zhisheng Huang ; Chengfei Liu ; Jing He ; Guangyan Huang. Berlin, Heidelberg : Springer, 2014. pp. 1-10 (Lecture Notes in Computer Science).

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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",

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doi = "10.1007/978-3-642-54370-8_1",

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booktitle = "Web Information Systems Engineering -- WISE 2013 Workshops",

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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 BigWebData, MBC, PCS, STeH, QUAT, SCEH, and STSC 2013, Nanjing, China, October 13-15, 2013, Revised Selected Papers. Lecture Notes in Computer Science, vol. 8182, Springer, Berlin, Heidelberg, pp. 1-10, 14th International Conference on Web Information System Engineering , Nanjing, China, 13/10/13. 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 BigWebData, MBC, PCS, STeH, QUAT, SCEH, and STSC 2013, Nanjing, China, October 13-15, 2013, Revised Selected Papers. ed. / Zhisheng Huang; Chengfei Liu; Jing He; Guangyan Huang. Berlin, Heidelberg: Springer, 2014. p. 1-10 (Lecture Notes in Computer Science; Vol. 8182).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.

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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 BigWebData, MBC, PCS, STeH, QUAT, SCEH, and STSC 2013, Nanjing, China, October 13-15, 2013, Revised Selected Papers. Berlin, Heidelberg: Springer. 2014. p. 1-10. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-54370-8_1

Large-Scale Complex Reasoning with Semantics: Approaches and Challenges

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Conference

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