Collaborative Knowledge Creation and Management in Information Retrieval
Victor Odumuyiwa (LORIA), David Amos (LORIA)

TL;DR
This paper explores collaborative information retrieval (CIR) as a means of knowledge creation, discussing its processes, architecture, and a prototype called MECOCIR that facilitates collaborative knowledge sharing and transformation.
Contribution
It introduces a functional architecture for CIR and presents the MECOCIR prototype, highlighting features that support collaborative knowledge creation and management.
Findings
CIR promotes effective knowledge sharing among users.
The MECOCIR prototype demonstrates practical features for collaborative knowledge exploitation.
Knowledge creation in CIR aligns with Nonaka's knowledge transformation processes.
Abstract
The final goal of Information Retrieval (IR) is knowledge production. However, it has been argued that knowledge production is not an individual effort but a collaborative effort. Collaboration in information retrieval is geared towards knowledge sharing and creation of new knowledge by users. This paper discusses Collaborative Information Retrieval (CIR) and how it culminates to knowledge creation. It explains how created knowledge is organized and structured. It describes a functional architecture for the development of a CIR prototype called MECOCIR. Some of the features of the prototype are presented as well as how they facilitate collaborative knowledge exploitation. Knowledge creation is explained through the knowledge conversion/transformation processes proposed by Nonaka and CIR activities that facilitate these processes are high-lighted and discussed
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Taxonomy
TopicsInformation Retrieval and Search Behavior · Semantic Web and Ontologies · Expert finding and Q&A systems
