Semantic Web Dog Food

Presented at: Ontologies come of Age in the Semantic Web (OCAS2011)

by Dhavalkumar Thakker, Fan Yang-Turner, Lydia Lau, Vania Dimitrova

Sensemaking is often associated with processing large or complex amount of data obtained from diverse and distributed sources. With information explosion from the web, sensemaking is becoming ubiquitous and ever more challenging. Semantic technologies have potential to support understanding of sensemaking process with the benefits they bring (e.g. reasoning, aggregation, automation). Conceptual models of sensemaking have been developed to understand its complex processes by social and information scientist; however, these frameworks are not applicable directly to system design. This paper describes a socio-technical approach for modelling sensemaking process in order to inform the development of intelligent services to aid sensemakers. We apply an a priori ontology modularisation methodology for handling complexity of heterogeneous domains and utilise well-known sensemaking theoretical framework to guide ontology development. This approach is applied in an EU project - Dicode, for the development of its sensemaking ontology.

Resource URI on the dog food server: http://data.semanticweb.org/workshop/ocas/2011/paper/9

Explore this resource elsewhere:

• on Snorql
• on Sindice
• on dotAC Explorer