Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of a specific subject in a particular domain within peculiar array of parameters?” Expert with domain knowledge in any field is crucial for consulting in industry, academia and scientific community. Aim of this study is to address the issues for expert-finding task in real-world community. Collabor...

expert discovery is a quest in search of finding an answer to a question: “who is the best expert of a specific subject in a particular domain within peculiar array of parameters?” expert with domain knowledge in any field is crucial for consulting in industry, academia and scientific community. aim of this study is to address the issues for expert-finding task in real-world community. collabor...

In this paper we describe two systems designed to connect users to distributed, continuously changing experts and their knowledge. Using information retrieval, information extraction, and collaborative filtering techniques, these systems are able to enhance corporate knowledge management by overcoming traditional problems of knowledge acquisition and maintenance and associated (human and financ...

The first step in many text-as-data studies is to find documents that address a specific topic within larger document set. Researchers often rely on simple keyword searches do this, even though this may introduce considerable selection bias. Such bias be greater when researchers lack the domain knowledge required make informed search decisions, for example, cross-national research or unfamiliar...

Bayesian networks (BNs) are rapidly becoming a leading tool in applied Artificial Intelligence (AI). BNs may be built by eliciting expert knowledge or learned via causal discovery programs. A hybrid approach is to incorporate prior information elicited from experts into the causal discovery process. We present several ways of using expert information as prior probabilities in the CaMML causal d...

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...