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Intelligent Push Information for Location Based Service Based on Semantic Knowledge

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Principle and Application Progress in Location-Based Services

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

As adoption of put information rises, more apps abuse their power to proactively contact their customers. While there are some which are getting this right, only sending notifications when there is something worth getting attention for, others send the same message to its entire user base. Put information is an important service form in the Location Based Service. How to send information to user intelligently in LBS is an important issue. In the chapter, we put forward a way to put information by using the user profile, information types and time, location, environment, and other context information to filter the push content, matches the user demand and potential interested information accurately with the help of both ontology and rules. While ontology describes the acknowledged structured knowledge in LBS, the rules describe declarative knowledge. Then the ontology and rule-based reasoning are used to make implicit information explicit. With the explicit knowledge, we filter the potential information by using users’ characteristic data and the context to achieve precise matching for user needs and information of interests. The example for put information in travel navigation show the method is reasonable and feasible.

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References

  • Agarwal P (2005) Ontological considerations in GIScience. Int J Geogr Inf Sci 19(5):501–536

    Article  Google Scholar 

  • Cheng G, Du Q(2009)Construction and application of ontologies in location-based services. J Liaoning Tech Univ(Nat Sci) 28(5):708–711

    Google Scholar 

  • Cheng G, Du Q, Cai Z, Huang M, Zhao H (2007) Research on designing ontologies for location-based services. In: Gong P, Liu Y (eds) Proceedings of Geoinformatics 2007: Geospatial Information Technology and Applications, Nanjing

    Google Scholar 

  • Cheng G, Du Q, Ma H (2008) The design and implementation of ontology and rules based knowledge base for transportation. In: Proceedings of international conference on computer science and software engineering, Wuhan, Dec, 2008

    Google Scholar 

  • Cheng G, Zhang Y, Wang F, Zhang Z, Guo Y (2011) Construction and application of formal ontology for mine. Trans Nonferr Metals Soc China (English Edition), 21:s577–s582

    Google Scholar 

  • Horrocks I, Patel-Schneider P, Boley H et al (2004) A semantic web rule language combining OWL and RuleML. http://www.w3.org/Submission/SWRL/. Accessed 12 Jun 2013

  • Knublauch H, Fergerson R, Noy N, Musen M (2004) The ProtĂ©gĂ© OWL plugin: an open development environment for semantic web applications. In: Proceedings of Third ISWC (ISWC 2004), Hiroshima, Japan

    Google Scholar 

  • McGuinness D, Harmelen F (2004) OWL Web ontology language overview. http://www.w3.org/TR/owl-features/. Accessed 12 May 2013

  • Racer Systems GmbH & Co. KG (2012) RacerPro user’s guide version 2.0. http://www.racer-systems.com/products/racerpro/users-guide-2-0-0-preview.pdf. Accessed 1 May 2013

  • Smith M, Welty C, McGuinness D (2004) OWL Web Ontology language guide. http://www.w3.org/TR/owl-guide/. Accessed 18 Jun 2013

  • Sorrows M, Hirtle S (1999) The nature of landmarks for real and electronic spaces. In: Freksa C, Mark DM (eds) Proceedings of the conference on spatial information theory: cognitive and computational foundations of geographic information science, International Conference COSIT ’99, Lecture Notes in Computer Science, vol 1661. Springer, Stade, Germany, pp 37–50

    Google Scholar 

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Acknowledgments

This research is supported by the National Natural Science Foundation of China (No. 41001226, No. 41340034), Key Teachers Program for Henan Colleges and universities (No.2012GGJS-055), Key Laboratory of Mine Spatial Information Technologies, National Administration of Surveying, Mapping and Geoinformation (No.KLM201202); Open Research Fund Program of Key Laboratory of Digital Mapping and Land Information Application Engineering,National Administration of Surveying, Mapping and Geoinformation (NO. GCWD201002), Natural Science Foundation of Education Department of Henan Province (NO.2010B170006).

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Correspondence to Gang Cheng .

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Cheng, G., Jia, B., Guo, Y., Lu, X. (2014). Intelligent Push Information for Location Based Service Based on Semantic Knowledge. In: Liu, C. (eds) Principle and Application Progress in Location-Based Services. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-04028-8_14

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