Ontology driven data mining and information visualization for the networked home

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

4 Citations (Scopus)

Abstract

Data mining is the process of extracting hidden knowledge from data. As more data is gathered, data mining is becoming an increasingly important tool to transform this data into information. Visualization is central to data mining. Information visualization is the process of turning abstract data into a visual shape easily understood by the user, making it possible for him/her to generate new knowledge about the relations between the data. Ontologies represent a shared meaning of a domain and they can be used to describe almost any kind of domain concepts explicitly including their terms, attributes, values and relationships facilitating the communication between people and application systems. Leveraging the power of semantic technologies, ontology based data mining and recent trends in information visualization, this work presents the approach towards the management of multi-dimensional often temporal heterogeneous home data. (44 refs.)
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationFourth International Conference on Research Challenges in Information Science, RCIS 2010
Place of PublicationPiscataway, NY, USA
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages147-156
ISBN (Electronic)978-1-4244-4840-1
ISBN (Print)978-1-4244-4839-5
DOIs
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication
EventFourth International Conference on Research Challenges in Information Science, RCIS 2010 - Nice, France
Duration: 19 May 201021 May 2010

Conference

ConferenceFourth International Conference on Research Challenges in Information Science, RCIS 2010
Abbreviated titleRCIS 2010
CountryFrance
CityNice
Period19/05/1021/05/10

Fingerprint

Data mining
Ontology
Visualization
Semantics
Communication

Keywords

  • Intelligent home
  • data management
  • visualization

Cite this

Niskanen, I., & Kantorovitch, J. (2010). Ontology driven data mining and information visualization for the networked home. In Proceedings: Fourth International Conference on Research Challenges in Information Science, RCIS 2010 (pp. 147-156). Piscataway, NY, USA: Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/RCIS.2010.5507374
Niskanen, Ilkka ; Kantorovitch, Julia. / Ontology driven data mining and information visualization for the networked home. Proceedings: Fourth International Conference on Research Challenges in Information Science, RCIS 2010. Piscataway, NY, USA : Institute of Electrical and Electronic Engineers IEEE, 2010. pp. 147-156
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Niskanen, I & Kantorovitch, J 2010, Ontology driven data mining and information visualization for the networked home. in Proceedings: Fourth International Conference on Research Challenges in Information Science, RCIS 2010. Institute of Electrical and Electronic Engineers IEEE, Piscataway, NY, USA, pp. 147-156, Fourth International Conference on Research Challenges in Information Science, RCIS 2010, Nice, France, 19/05/10. https://doi.org/10.1109/RCIS.2010.5507374

Ontology driven data mining and information visualization for the networked home. / Niskanen, Ilkka; Kantorovitch, Julia.

Proceedings: Fourth International Conference on Research Challenges in Information Science, RCIS 2010. Piscataway, NY, USA : Institute of Electrical and Electronic Engineers IEEE, 2010. p. 147-156.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - Data mining is the process of extracting hidden knowledge from data. As more data is gathered, data mining is becoming an increasingly important tool to transform this data into information. Visualization is central to data mining. Information visualization is the process of turning abstract data into a visual shape easily understood by the user, making it possible for him/her to generate new knowledge about the relations between the data. Ontologies represent a shared meaning of a domain and they can be used to describe almost any kind of domain concepts explicitly including their terms, attributes, values and relationships facilitating the communication between people and application systems. Leveraging the power of semantic technologies, ontology based data mining and recent trends in information visualization, this work presents the approach towards the management of multi-dimensional often temporal heterogeneous home data. (44 refs.)

AB - Data mining is the process of extracting hidden knowledge from data. As more data is gathered, data mining is becoming an increasingly important tool to transform this data into information. Visualization is central to data mining. Information visualization is the process of turning abstract data into a visual shape easily understood by the user, making it possible for him/her to generate new knowledge about the relations between the data. Ontologies represent a shared meaning of a domain and they can be used to describe almost any kind of domain concepts explicitly including their terms, attributes, values and relationships facilitating the communication between people and application systems. Leveraging the power of semantic technologies, ontology based data mining and recent trends in information visualization, this work presents the approach towards the management of multi-dimensional often temporal heterogeneous home data. (44 refs.)

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Niskanen I, Kantorovitch J. Ontology driven data mining and information visualization for the networked home. In Proceedings: Fourth International Conference on Research Challenges in Information Science, RCIS 2010. Piscataway, NY, USA: Institute of Electrical and Electronic Engineers IEEE. 2010. p. 147-156 https://doi.org/10.1109/RCIS.2010.5507374