This paper presents an approach to locating an expert through the use of existing organizational information. This approach was realised through an Expert Finder framework developed by the authors. The framework enables the relationships of heterogeneous information sources to experts to be factored in to the modelling of an individuals’ expertise. The framework also provides an architecture th...

This article outlines new technologies in the areas of automated expertise finding, expert network discover, virtual place-based collaboration, and automated question answering. We illustrate each of these areas with implemented and in some cases empirically evaluated systems. Collectively, these illustrate new methods for automatic discovery of knowledge, experts, and communities in an effecti...

In today’s knowledge-based economy, having proper expertise is crucial in resolving many tasks. Expertise Finding (EF) is the area of research concerned with matching available experts to given tasks. A standard approach is to input a task description/proposal/paper into an EF system and receive recommended experts as output. Mostly, EF systems operate either via a content-based approach, which...

In this paper, we present an algorithm for automatically building expertise evidence for finding experts within an organization by combining structured corporate information with different content. We also describe our test data collection and our evaluation method. Evaluation of the algorithm shows that using organizational structure leads to a significant improvement in the precision of findi...

The Duality of Expertise considers the “Expert” to be a social role dependent on an individual’s expertise claims and the opinion of their community towards those claims. These are the internal and external aspects of a person’s expertise. My Expertise Model incorporates this duality in a process designed for expertise finding software in an online community forum. In this model, a posting’s te...

The application of information technology can have positive and negative impacts on social capital. In this paper we discuss technologies which have the potential to foster social capital by matching human actors. The matching algorithms are based on the personal data describing the actors' behavior, background, qualification, or interests. Consequently, actors who are little known or even unkn...

Knowledge Management Systems that enhance and facilitate the process of finding the right expert in an organization have gained much attention in recent years. This chapter explores the potential benefits and challenges of using ontologies for improving existing systems. A modeling technique from requirements engineering is used to evaluate the proposed system and analyze the impact it would ha...

To accomplish knowledge intensive tasks, people in organizations must be able to find the knowledge or information needed to solve complex problems. For this, people often rely on their past experiences, explicit documents, and others who have the needed expertise. Knowledge Management Systems that enhance and facilitate the process of finding the right expert in an organization have gained muc...

Research-oriented tasks continue to become more complex, requiring more collaboration between experts. Historically, research has focused on either finding a single expert for a specific task (expertise finding, or EF), or trying to form a group that satisfies various conditions (group formation, or GF). EF is typically group context agnostic, while GF requires complex models that are difficult...