Autonomous place naming system using opportunistic crowdsensing and knowledge from crowdsourcing

Yohan Chon, Yunjong Kim, Hojung Cha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Citations (Scopus)

Abstract

A user's location information is commonly used in diverse mobile services, yet providing the actual name or semantic meaning of a place is challenging. Previous works required manual user interventions for place naming, such as searching by additional keywords and/or selecting place in a list. We believe that applying mobile sensing techniques to this problem can greatly reduce user intervention. In this paper, we present an autonomous place naming system using opportunistic crowdsensing and knowledge from crowd sourcing. Our goal is to provide a place name from a person's perspective: that is, functional name (e.g., food place, shopping place), business name (e.g., Starbucks, Apple Store), or personal name (e.g., my home, my workplace). The main idea is to bridge the gap between crowdsensing data from smartphone users and location information in social network services. The proposed system automatically extracts a wide range of semantic features about the places from both crowd-sensing data and social networks to model a place name. We then infer the place name by linking the crowdsensing data with knowledge in social networks. Extensive evaluations with real deployments show that the proposed system outperforms the related approaches and greatly reduces user intervention for place naming.

Original languageEnglish
Title of host publicationIPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013
Pages19-30
Number of pages12
DOIs
Publication statusPublished - 2013 May 1
Event12th International Conference on Information Processing in Sensor Networks, IPSN 2013 - Part of CPSWeek 2013 - Philadelphia, PA, United States
Duration: 2013 Apr 82013 Apr 11

Other

Other12th International Conference on Information Processing in Sensor Networks, IPSN 2013 - Part of CPSWeek 2013
CountryUnited States
CityPhiladelphia, PA
Period13/4/813/4/11

Fingerprint

Semantics
Smartphones
Industry

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Chon, Y., Kim, Y., & Cha, H. (2013). Autonomous place naming system using opportunistic crowdsensing and knowledge from crowdsourcing. In IPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013 (pp. 19-30) https://doi.org/10.1145/2461381.2461388
Chon, Yohan ; Kim, Yunjong ; Cha, Hojung. / Autonomous place naming system using opportunistic crowdsensing and knowledge from crowdsourcing. IPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013. 2013. pp. 19-30
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Chon, Y, Kim, Y & Cha, H 2013, Autonomous place naming system using opportunistic crowdsensing and knowledge from crowdsourcing. in IPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013. pp. 19-30, 12th International Conference on Information Processing in Sensor Networks, IPSN 2013 - Part of CPSWeek 2013, Philadelphia, PA, United States, 13/4/8. https://doi.org/10.1145/2461381.2461388

Autonomous place naming system using opportunistic crowdsensing and knowledge from crowdsourcing. / Chon, Yohan; Kim, Yunjong; Cha, Hojung.

IPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013. 2013. p. 19-30.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Chon Y, Kim Y, Cha H. Autonomous place naming system using opportunistic crowdsensing and knowledge from crowdsourcing. In IPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013. 2013. p. 19-30 https://doi.org/10.1145/2461381.2461388