Authors:
Stephan Haslinger
1
;
Miguel Jiménez
2
and
Schahram Dustdar
3
Affiliations:
1
Tisco GmbH, Austria
;
2
Universidad Politecnica de Madrid, Spain
;
3
Vienna University of Technology, Austria
Keyword(s):
Context Information, Context Awareness, Location Based Services, Data Correlation, Mobile Handsets, MyMobileWeb.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Semiotics
;
Software Agents and Internet Computing
;
Symbolic Systems
;
Telecommunications
;
Wireless and Mobile Computing
;
Wireless and Mobile Technologies
;
Wireless Information Networks and Systems
Abstract:
Location Based Services are a key driver in today's telecom market, even if the power of Location Based Services is not nearly exhausted in nowadays telecom systems. To build intuitive Location Based Services for mobile handsets one success factor is to cover a broad range of mobile handsets available on the market and to make the services context aware. Within the EUREKA project MyMobileWeb we implement a framework to obtain contextual information from handsets using various capabilities of the mobiles. Contextual Information is every information we can obtain from the handset and that can be used for any kind of service. The most obvious information is location information. Within our framework we built an architecture that can obtain location information from various sources and is not bound to any special handset capability. Furthermore the architecture can be used to obtain various other context information, such as e.g. battery level. This information in addition is then used t
o offer special services to the customer. For this a correlation of the context information has to be done, which is based on a correlation engine for contextual information. This paper presents a framework that can handle and correlate contextual information in a very flexible way.
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