Activity Recognition Using a Web 3.0 Database

Author

Aasman, Jans

fYear

2008

fDate

4-7 Aug. 2008

Firstpage

488

Lastpage

489

Abstract

Web 3.0 envisages software agents that know how to reason over activities, events, locations, people, companies, and their inter-relationships. Learning more about customers through behavioral and activity recognition is here today through currently available Semantic Technologies and is a showcase for how these technologies will evolve. The demonstration shows real world examples of activity recognition using a combination of industry standard RDF and OWL, reasoning with basic Geotemporal primitives and some well-known Social Network Analytics.

Keywords

behavioural sciences computing; knowledge representation languages; ontologies (artificial intelligence); semantic Web; social sciences computing; software agents; temporal reasoning; OWL; RDF; Web 3.0 database; activity recognition; behavioral recognition; geotemporal primitives; reasoning; semantic Web; social network analytics; software agents; Data warehouses; Logic; OWL; Ontologies; Resource description framework; Semantic Web; Social network services; Software agents; Transaction databases; Wikipedia; activity recognition; database; geospatial; rdf; semantic web; web 3.0;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantic Computing, 2008 IEEE International Conference on

Conference_Location

Santa Clara, CA

Print_ISBN

978-0-7695-3279-0

Electronic_ISBN

978-0-7695-3279-0

Type

conf

DOI

10.1109/ICSC.2008.33

Filename

4597233