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 language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | Fourth International Conference on Research Challenges in Information Science, RCIS 2010 |
| Place of Publication | Piscataway, NY, USA |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 147-156 |
| ISBN (Electronic) | 978-1-4244-4840-1 |
| ISBN (Print) | 978-1-4244-4839-5 |
| DOIs | |
| Publication status | Published - 2010 |
| MoE publication type | A4 Article in a conference publication |
| Event | Fourth International Conference on Research Challenges in Information Science, RCIS 2010 - Nice, France Duration: 19 May 2010 → 21 May 2010 |
Conference
| Conference | Fourth International Conference on Research Challenges in Information Science, RCIS 2010 |
|---|---|
| Abbreviated title | RCIS 2010 |
| Country/Territory | France |
| City | Nice |
| Period | 19/05/10 → 21/05/10 |
Keywords
- Intelligent home
- data management
- visualization