An Approach for Enriching Information for Supporting Collaborative e-Work

Authors:
Obinna Anya;Atulya Nagar;Hissam Tawfik
Affiliations:
Intelligent and Distributed Systems Lab, Deanery of Business and Computer Sciences, Liverpool Hope University, Liverpool, United Kingdom L16 9JD;Intelligent and Distributed Systems Lab, Deanery of Business and Computer Sciences, Liverpool Hope University, Liverpool, United Kingdom L16 9JD;Intelligent and Distributed Systems Lab, Deanery of Business and Computer Sciences, Liverpool Hope University, Liverpool, United Kingdom L16 9JD
Venue:
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Year:
2008

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Abstract

As a result of the high level of knowledge required in collaborative e-Work as well as its changing work contexts, e-Work support systems need to provide not only information in the form of documents and articles, but also expert-level explanations in the form of supporting literature and references to theories and related cases, to justify retrieved information and offer cognitive support to e-Work. In this paper, we present a novel approach for enriching information for supporting collaborative e-Work, which combines latent semantic analysis, domain task modelling and conceptual learning. We illustrate the potential of our approach using our e-Workbench system. e-Workbench is a prototype system for adaptive collaborative e-Work.