Toward generic, immersive, and collaborative solutions to the data interoperability problem which target end-users

Authors:
Arturo J. Sánchez-Ruíz;Karthikeyan Umapathy;Pat Hayes
Affiliations:
University of North Florida, Jacksonville, FL, USA;University of North Florida, Jacksonville, FL, USA;Florida Institute for Human and Machine Cognition (IHMC), Pensacola, FL, USA
Venue:
Proceedings of the 2nd international workshop on Ontologies and information systems for the semantic web
Year:
2008

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Abstract

In this position paper we describe our vision of a "just-in-time" approach to the Data Interoperability Problem (a.k.a. INTEROP.) It empowers data stakeholders (e.g. data producers and data consumers) with integrated tools to interact and collaborate with each other while directly manipulating visual representations of their data in an immersive environment (e.g. implemented via Second Life.) The semantics of these visual representations and the operations associated with the data are supported by ontologies defined using the Common Logic Framework (CL). Data operations gestured by the stakeholders, through their avatars, are translated to a variety of generated resources such as multi-language source code, visualizations, web pages, and web services. The generality of the approach is supported by a plug-in architecture which allows expert users to customize tasks such as data admission, data manipulation in the immersive world, and automatic generation of resources. This approach is designed with a mindset aimed at enabling stake-holders from diverse domains to exchange data and generate new knowledge.