Title :
Ontology driven data mining and information visualization for the networked home
Author :
Niskanen, Ilkka ; Kantorovitch, Julia
Author_Institution :
Software Archit. & Platforms, VTT- Tech. Res. Center of Finland, Oulu, Finland
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.
Keywords :
Ambient intelligence; Artificial intelligence; Data mining; Data visualization; Games; Machine learning; Ontologies; Software architecture; Switches; TV; Intelligent home; data management; visualization;
Conference_Titel :
Research Challenges in Information Science (RCIS), 2010 Fourth International Conference on
Conference_Location :
Nice, France
Print_ISBN :
978-1-4244-4839-5
Electronic_ISBN :
2151-1349
DOI :
10.1109/RCIS.2010.5507374