2009/12/02 by Arijit Laha, Laha, Arijit
Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Data Quality and Management #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Semantic Web and Ontologies #Software Engineering (cs.SE) #cs.HC #cs.IR #cs.SE
paper · pdf · doi:10.48550/arxiv.0912.0433
ACM Comptute 2010, January 22-23, 2010, Bangalore, India
arxiv created 2009/12/02 · openalex publication_date 2009/12/02 · arxiv updated 2009/12/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
While performing knowledge-intensive tasks of professional nature, the knowledge workers need to access and process large volume of information. Apart from the quantity, they also require that the information received is of high quality in terms of authenticity and details. This, in turn, requires that the information delivered should also include argumentative support, exhibiting the reasoning process behind their development and provenance to indicate their lineage. In conventional document-centric practices for information management, such details are difficult to capture, represent/archive and retrieve/deliver. To achieve such capability we need to re-think some core issues of information management from the above requirements perspective. In this paper we develop a framework for comprehensive representation of information in archive, capturing informational contents along with their context. We shall call it the "Information Warehouse (IW)" framework of information archival. The IW is a significant yet technologically realizable conceptual advancement which can support efficiently some interesting classes of applications which can be very useful to the knowledge workers.