research-article

Providing a context-aware location based web service through semantics and user-defined rules

Authors:

Iosif Viktoratos,

Athanasios Tsadiras,

Nick BassiliadesAuthors Info & Claims

WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)

Article No.: 9, Pages 1 - 11

https://doi.org/10.1145/2611040.2611083

Published: 02 June 2014 Publication History

Abstract

In this paper, the design and the implementation of a novel context-aware location based service is presented, called "Geo SPLIS/Geographic Semantic Personalized Location Information System". Geo SPLIS offers users the capability to add their own contextualized preferences regarding Points of Interests (POIs) and combines them with POI owners group targeted offers to deliver high quality personalized information. In order to achieve this, the presented system a) collects data from external sources such as Google Places API, POIs' websites and Google+b) adopts the schema.org ontology to represent people and places profiles, c) provides a user friendly web editor for adding rules at run time, d) uses RuleML and Jess compatible rules to model user preferences and group-targeted place offers and make them machine executable, e) stores data and rules in the Sesame RDF triple store and f) evaluates these data and rules on-the-fly so that to deliver POIs and offers matching user context, presented on Google Maps. Geo SPLIS aims to address some issues regarding knowledge-based personalization in location based services and provide a collaborative knowledge creation platform for other systems in the web.

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Cited By

Evchina YPuttonen JDvoryanchikova ALastra J(2018)Context-aware knowledge-based middleware for selective information delivery in data-intensive monitoring systemsEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.04.00843:C(111-126)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1016/j.engappai.2015.04.008
Pandey MHazela BSingh V(2017)Location awareness recommendations and its implementation using RuleML2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall)10.1109/ICACCAF.2017.8344685(1-6)Online publication date: Sep-2017
https://doi.org/10.1109/ICACCAF.2017.8344685
Viktoratos ITsadiras ABassiliades N(2017)Modeling human daily preferences through a context-aware web-mapping system using semantic technologiesPervasive and Mobile Computing10.1016/j.pmcj.2016.08.00238(14-40)Online publication date: Jul-2017
https://doi.org/10.1016/j.pmcj.2016.08.002
Show More Cited By

Index Terms

Providing a context-aware location based web service through semantics and user-defined rules
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence

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cover image ACM Other conferences

WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)

June 2014

506 pages

ISBN:9781450325387

DOI:10.1145/2611040

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Aristotle University of Thessaloniki

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Published: 02 June 2014

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WIMS '14

WIMS '14: 4th International Conference on Web Intelligence, Mining and Semantics

June 2 - 4, 2014

Thessaloniki, Greece

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WIMS '14 Paper Acceptance Rate 41 of 90 submissions, 46%;

Overall Acceptance Rate 140 of 278 submissions, 50%

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Cited By

Evchina YPuttonen JDvoryanchikova ALastra J(2018)Context-aware knowledge-based middleware for selective information delivery in data-intensive monitoring systemsEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.04.00843:C(111-126)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1016/j.engappai.2015.04.008
Pandey MHazela BSingh V(2017)Location awareness recommendations and its implementation using RuleML2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall)10.1109/ICACCAF.2017.8344685(1-6)Online publication date: Sep-2017
https://doi.org/10.1109/ICACCAF.2017.8344685
Viktoratos ITsadiras ABassiliades N(2017)Modeling human daily preferences through a context-aware web-mapping system using semantic technologiesPervasive and Mobile Computing10.1016/j.pmcj.2016.08.00238(14-40)Online publication date: Jul-2017
https://doi.org/10.1016/j.pmcj.2016.08.002
Grifoni PD’Ulizia AFerri F(2017)Context-Awareness in Location Based Services in the Big Data EraMobile Big Data10.1007/978-3-319-67925-9_5(85-127)Online publication date: 1-Nov-2017
https://doi.org/10.1007/978-3-319-67925-9_5
Sharma SKaur D(2015)Location based context aware recommender system through user defined rulesInternational Conference on Computing, Communication & Automation10.1109/CCAA.2015.7148384(257-261)Online publication date: May-2015
https://doi.org/10.1109/CCAA.2015.7148384

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