A Semantic Framework for Harvesting Vague Enterprise Knowledge from Microposts

Author:

Alexopoulos Panos1,Pavlopoulos John2,Mylonas Phivos3

Affiliation:

1. Intelligent Software Components S.A., Av. del Partenon, 16–18, 1–7, 28042, Madrid, Spain

2. Department of Informatics, Athens University of Economics and Business, 76 Patission Str., 10434, Athens, Greece

3. National Technical University of Athens, Image, Video and Multimedia Laboratory, 9 Iroon Polytechniou Str., 15773, Athens, Greece

Abstract

The advent and wide proliferation of Social Web in the recent years has promoted the concept of social interaction as an important influencing factor of the way enterprises and organizations conduct business. Among the fields influenced is that of Enterprise Knowledge Management, where the increase and maintenance of the employees' active participation in the organization's knowledge management activities is pursued through the adoption of social computing approaches. In this paper we consider a prominent and increasingly applied such approach, namely enterprise microblogging, and we propose a novel way to exploit its knowledge generation and sharing capabilities in order to effectively capture and formalize enterprise knowledge that is vague. Application and empirical evaluation of the framework indicates significant potential towards this goal.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Artificial Intelligence

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