NetExpert: Agent-Based Expertise Location by Means of Social and Knowledge Networks (original) (raw)
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NetExpert: A Multiagent System for Expertise Location
Proc. of IJCAI, 2001
Locating expertise sources in a community of interest or practice is a critical need for distributed organizations operating in Knowledge Intensive Business Sectors. This is specially true in those ones that deal with innovation activites which have to manage knowledge about the creation of new knowledge. Finding fastly a suitable expert and knowing how to reach him or her can be seen as a way to gain advantage and speed up organizational knowledge creation and learning. Usually expertise location is done through the use of personal social or knowledge networks and involves aspects such as trust and reputation. However and specially in distributed organizations relying on communication technologies for cooperation, each member of a community is just aware of its own personal social or knowledge network. This makes difficult to get to know other potential experts in the community which may pertain to other members' networks. NetExpert is an agent-based expertise location system that replicates the process of social and knowledge network building at a community or organization level. In so doing it is able to connect several networks and put into contact expertise that otherwise would remain hidden.
Finding Local Expertise from Social Networks
Information usage in the workplace has changed dramatically during the last generation. Today's managers remember when an employee's primary information sources were the organization, his or her immediate management, colleagues in the same or nearby departments, a few trade publications, and perhaps the occasional training event.
This paper presents a multi-agent simulation that demonstrates the roles identified to assist human knowledge workers, based on the Get-Understand-Share-Connect (GUSC) Model. The system design is based on the content analysis from an interview survey conducted on selected organisations in Malaysia. A significant finding from the interview is the existence of the Knowledge Collaborator role, which the literature commonly refers to as the gatekeeper. According to the interview respondents, Knowledge Collaborator locates knowledge sources or experts upon request from the Knowledge Seeker within an organisation, which is based on the needs. A scenario of the mediation of Knowledge Seeker-Knowledge Collaborator tasks is simulated in this paper, animated in an agent-oriented development platform. This scenario is expanded to Knowledge Collaborator-Knowledge Expert mediation of tasks, to further prove the GUSC roles played by the agents.
The right expert at the right time and place: From expertise identification to expertise selection
Sensor Actuator a Phys, 2008
We propose a unified and complete solution for expert finding in organizations, including not only expertise identification, but also expertise selection functionality. The latter two include the use of implicit and explicit preferences of users on meeting each other, as well as localization and planning as important auxiliary processes. We also propose a solution for privacy protection, which is urgently required in view of the huge amount of privacy sensitive data involved. Various parts are elaborated elsewhere, and we look forward to a realization and usage of the proposed system as a whole.
SISN: A Toolkit for Augmenting Expertise Sharing Via Social Networks
Lecture Notes in Computer Science
The current study attempts to address the social-technical gap by developing a toolkit that can help information seekers to search for expertise and seek information via their social networks. The focus of the current study is technical development of a toolkit that supports expertise sharing via social networks. Once such a toolkit is in place, it can facilitate researches that are more concerned with applications in social and organizational perspectives. Following a proposed full-fledged social network-powered expert searching and information sharing framework on the theoretical side, the study then reports a toolkit of Seeking Information via Social Networks (SISN), which is a generalpurpose toolkit for social network-based information sharing applications that combines techniques in information retrieval, social network, and peer-to-peer system.
Social Network Based Search for Experts
Sixth Symposium on Human-Computer Interaction and Information Retrieval (HCIR) 2012, Boston, USA.
"Our system illustrates how information retrieved from social networks can be used for suggesting experts for specific tasks. The system is designed to facilitate the task of finding the appropriate person(s) for a job, as a conference committee member, an advisor, etc. This short description will demonstrate how the system works in the context of the HCIR2012 published tasks. "
A Community-based Expert Finding System
2007
Abstract This paper proposes a system to facilitate exchange of information by automatically finding experts, competent in answering a given question. Our objective is to provide an online tool, which enables individuals within a potentially large organization to search for experts in a certain area, which may not be represented in company organization or reporting lines.
Generic Private Social Network for Knowledge Management
Lecture Notes in Computer Science, 2015
The main motivation of this paper is a support of knowledge management for small to medium enterprises (business). We present our tool sitIT.cz which was developed to support communication of IT specialists (both from academia and business) using public funding. The main message of this paper is that this tool is quite generic and can be used in different scenarios. Particularly significant is its use as a private social network for knowledge management in a company. Our system is quite rich on actors, knowledge classification schemes, search functionalities, and trust management.