abstract

Windowing mechanisms for web scale stream reasoning

Authors:

Snehasis Banerjee,

Debnath MukherjeeAuthors Info & Claims

Web-KR '13: Proceedings of the 4th international workshop on Web-scale knowledge representation retrieval and reasoning

Pages 17 - 18

https://doi.org/10.1145/2512405.2512409

Published: 01 November 2013 Publication History

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Abstract

Web-scale stream reasoning is based on continuous queries and reasoning on a snapshot of the dynamic knowledge combined with background knowledge. The existing stream reasoners usually use either time-based or count-based window techniques following the data stream principles, however they do not fit all scenarios in the stream reasoning area. In this paper, different types of windowing mechanisms are described with exemplary scenarios in which they are most suitable for reasoning on stream of facts. A new windowing technique namely Adaptive Window is also proposed. Lastly, some important questions related to windowing techniques for web-scale stream reasoning are positioned.

References

[1]

Banerjee, S., Mukherjee, D., and Misra, P. 'what affects me?': a smart public alert system based on stream reasoning. In Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication (2013), ICUIMC '13, ACM, pp. 22:1--22:10.

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[2]

Della Valle, E., Ceri, S., van Harmelen, F., and Fensel, D. It's a streaming world! reasoning upon rapidly changing information. Intelligent Systems, IEEE 24, 6 (2009), 83--89.

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[3]

Mukherjee, D., Banerjee, S., and Misra, P. Ad-hoc ride sharing application using continuous sparql queries. In Proceedings of the 21st international conference companion on World Wide Web (2012), WWW '12 Companion, ACM, pp. 579--580.

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[4]

Mukherjee, D., Banerjee, S., and Misra, P. Towards efficient stream reasoning. In Proceedings of OTM Workshops (2013).

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Patroumpas, K., and Sellis, T. Window specification over data streams. In Current Trends in Database Technology - EDBT 2006 (2006), vol. 4254 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, pp. 445--464.

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Cited By

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Banerjee SChandra M(2019)A software framework for procedural knowledge based collaborative data analytics for IoTProceedings of the 1st International Workshop on Software Engineering Research & Practices for the Internet of Things10.1109/SERP4IoT.2019.00014(41-48)Online publication date: 27-May-2019
https://dl.acm.org/doi/10.1109/SERP4IoT.2019.00014
Banerjee SChattopadhyay TPal AGarain U(2018)Automation of feature engineering for IoT analyticsACM SIGBED Review10.1145/3231535.323153815:2(24-30)Online publication date: 5-Jun-2018
https://dl.acm.org/doi/10.1145/3231535.3231538
Sinharay APal ABanerjee SBanerjee RBandyopadhyay SDeshpande PDasgupta R(2016)A Novel Approach to Unify Robotics, Sensors, and Cloud Computing Through IoT for a Smarter Healthcare Solution for Routine Checks and Fighting EpidemicsInternet of Things. IoT Infrastructures10.1007/978-3-319-47063-4_59(536-542)Online publication date: 18-Nov-2016
https://doi.org/10.1007/978-3-319-47063-4_59
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Windowing mechanisms for web scale stream reasoning
1. Information systems

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Published In

Web-KR '13: Proceedings of the 4th international workshop on Web-scale knowledge representation retrieval and reasoning

November 2013

26 pages

ISBN:9781450324243

DOI:10.1145/2512405

Program Chairs:
Yi Zeng
Chinese Academy of Sciences, China
,
Spyros Kotoulas
IBM Research, Ireland
,
Zhisheng Huang
VU University Amsterdam, The Netherlands

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2013

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CIKM'13

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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management

November 1, 2013

California, San Francisco, USA

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Web-KR '13 Paper Acceptance Rate 4 of 4 submissions, 100%;

Overall Acceptance Rate 4 of 4 submissions, 100%

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Banerjee SChandra M(2019)A software framework for procedural knowledge based collaborative data analytics for IoTProceedings of the 1st International Workshop on Software Engineering Research & Practices for the Internet of Things10.1109/SERP4IoT.2019.00014(41-48)Online publication date: 27-May-2019
https://dl.acm.org/doi/10.1109/SERP4IoT.2019.00014
Banerjee SChattopadhyay TPal AGarain U(2018)Automation of feature engineering for IoT analyticsACM SIGBED Review10.1145/3231535.323153815:2(24-30)Online publication date: 5-Jun-2018
https://dl.acm.org/doi/10.1145/3231535.3231538
Sinharay APal ABanerjee SBanerjee RBandyopadhyay SDeshpande PDasgupta R(2016)A Novel Approach to Unify Robotics, Sensors, and Cloud Computing Through IoT for a Smarter Healthcare Solution for Routine Checks and Fighting EpidemicsInternet of Things. IoT Infrastructures10.1007/978-3-319-47063-4_59(536-542)Online publication date: 18-Nov-2016
https://doi.org/10.1007/978-3-319-47063-4_59
Banerjee SMishra ADasgupta RZeng YKotoulas SHuang Z(2014)Semantic Exploration of Sensor DataProceedings of the 5th International Workshop on Web-scale Knowledge Representation Retrieval & Reasoning10.1145/2663792.2663800(55-58)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2663792.2663800
Zeng YKotoulas SHuang ZHe QIyengar ANejdl WPei JRastogi R(2013)Web-KR 2013Proceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505819(2563-2564)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1145/2505515.2505819

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Decentralized Stream Reasoning Agents

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