Semantic Information and Sensor Networks

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

Abstract

Embedded Networked Sensing involves untethered, networked devices tightly coupled to the physical world, to monitor and interact with it. Raw sensor observation can be annotated with semantic metadata to provide interpretation and context for it. In this paper, we discuss what, why and how of semantic sensor data and semantic sensor networks. Specifically, we explore (i) benefits of augmenting sensor data with semantics, (ii) domain-specific and spatio-temporal problems to be addressed, (iii) role of knowledge representation and reasoning (Semantic Web technology), and (iv) standardization efforts underway to make sensor-related data and sensor observations widely available.

Original languageAmerican English
Title of host publication24th Annual ACM Symposium on Applied Computing, SAC 2009
PublisherPubl by ACM
Pages1273-1274
Number of pages2
ISBN (Print)9781605581668
DOIs
StatePublished - Mar 8 2009
Event24th Annual ACM Symposium on Applied Computing, SAC 2009 - Honolulu, HI, United States
Duration: Mar 8 2009Mar 12 2009

Conference

Conference24th Annual ACM Symposium on Applied Computing, SAC 2009
Country/TerritoryUnited States
CityHonolulu, HI
Period3/8/093/12/09

ASJC Scopus Subject Areas

  • Software

Keywords

  • Ontology
  • Semantic sensor network
  • Semantic web
  • Sensor web
  • Spatio-temporal reasoning

Disciplines

  • Bioinformatics
  • Communication
  • Communication Technology and New Media
  • Computer Sciences
  • Databases and Information Systems
  • Life Sciences
  • OS and Networks
  • Physical Sciences and Mathematics
  • Science and Technology Studies
  • Social and Behavioral Sciences

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