An AI Approach to Information Filtering for Location Based Services

Publikations-Art

Kongressbeitrag

Autoren

Frank Köhne, Bernd Schneider

Erscheinungsjahr

2002

Veröffentlicht in

The Ninth Research Symposium on Emerging Electronic Markets 2002

Herausgeber

Petra Schubert, Uwe Leimstoll

Seite (von - bis)

149-156

Tagungsort

Basel: University of Applied Sciences Basel (FHBB), Institute for Business Economics, Basel, Switzerland

The perceived quality of Location Based Services (LBS) depends on the quality and the amount of information provided. Both information sender and receiver are interested in controlling the flow of information. Considering the phenomena of information-overflow and spam-mail it seems necessary to set up additional filters restricting the information flow according to e.g. predefined parameters or personal preferences of potential customers in their individual contexts. This paper introduces a user-controlled approach to represent filtering criteria for structured information-objects using a simple frame-constraint based knowledge representation in order to support immediacy, minimize visible complexity and to avoid consistency issues.