To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Context Recognition: Towards Automatic Query Generation
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-4001-2087
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9652-7864
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-3122-693X
2015 (English)In: Ambient Intelligence: 12th European Conference, AmI 2015, Athens, Greece, November 11-13, 2015, Proceedings, Springer, 2015, p. 205-218Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present an ontology-based approach in designing knowledge model for context recognition (CR) systems. The main focus in this paper is on the use of an ontology to facilitate the generation of user-based queries to the CR system. By leveraging from the ontology, users need not know about sensor details and the structure of the ontology in expressing queries related to events of interest. To validate the approach and demonstrate the flexibility of the ontology for query generation, the ontology has been integrated in two separate application domains. The first domain considers a health care system implemented for the GiraffPlus project where the query generation process is automated to request information about activities of daily living. The second application uses the same ontology for an air quality monitoring application in the home. Since these two systems are independently developed for different purposes, the ease of applying the ontology upon them can be considered as a credit for its generality.

Place, publisher, year, edition, pages
Springer, 2015. p. 205-218
Series
Lecture Notes in Computer Science ; 9425
Keywords [en]
Query generation, Context recognition, OWL-DL ontology
National Category
Computer Systems
Research subject
Information technology; Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-46860DOI: 10.1007/978-3-319-26005-1_14ISI: 000367584700014ISBN: 978-3-319-26004-4 (print)ISBN: 978-3-319-26005-1 (print)OAI: oai:DiVA.org:oru-46860DiVA, id: diva2:874728
Conference
Ambient Intelligence - 12th European Conference (AmI 2015), Athens, Greece, November 11-13, 2015
Available from: 2015-11-27 Created: 2015-11-27 Last updated: 2017-10-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Alirezaie, MarjanPecora, FedericoLoutfi, Amy

Search in DiVA

By author/editor
Alirezaie, MarjanPecora, FedericoLoutfi, Amy
By organisation
School of Science and Technology
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 888 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf