| Title: | AN EMPIRICAL-BASED TAXONOMY OF COLLABORATIVE TECHNOLOGIES SUPPORTING INTELLIGENCE ANALYSIS |
| DOI No: | 10.1142/9789812701527_0056 |
| Source: | KNOWLEDGE MANAGEMENT: NURTURING CULTURE, INNOVATION AND TECHNOLOGY (pp 643-654)
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| Author(s): | YING-HSANG LIU
School of Communication, Information and Library Studies, Rutgers University, 4 Huntington Street, New Brunswick, NJ 08901, USA
WILLIAM VOON
School of Communication, Information and Library Studies, Rutgers University, 4 Huntington Street, New Brunswick, NJ 08901, USA
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| Abstract: | This paper reviews collaborative technologies from cutting-edge research projects that support the intelligence analysis. Using the collaboration in knowledge management literature as reference point, a content analysis of representative documents of intelligence collaboration systems reveals three major components of collaborative technologies (knowledge discovery, decision-making tools, and collaborative environment), together with the dimensions of agents and time. The empirical-based taxonomy applied to intelligence collaboration work is demonstrated. The potential areas of application of question representation in information retrieval and knowledge-based systems, and the applicability of a collaborative information retrieval search tool as inputs to decision-making tools are discussed. |
| Keywords: | Collaborative technology; Intelligence analysis; Taxonomy; Information Retrieval
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| Full Text: | View full text in PDF format (745KB) |
| TOC: | Back to Table of Contents |
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