Expertise Mining
نویسندگان
چکیده
In this paper we present our approach for expertise mining, addressing several research problems such as expertise topic extraction, expert finding and expert profiling. We propose a hybrid solution inspired by different research fields such as expert finding, competency management, terminology extraction, keyword extraction and concept extraction. We introduce an expertise benchmarking dataset gathered by exploiting information about workshop committee members and we present Saffron, a system designed to give an overview of research areas and experts and to assist users in finding skilled individuals.
منابع مشابه
Expert Discovery: A web mining approach
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...
متن کاملA researcher expertise search system using ontology-based data mining
This paper proposes an approach to discover the expertise of researchers using data mining with skill classification ontology. The skill classification ontology is an information model containing skills of doing research in the area of computer and information science. A methodology to build the ontology is presented. The expertise search system is developed, which uses the skill classification...
متن کاملMining Potential Domain Expertise in Pinterest
This paper describes a first investigation of potential domain expertise in Pinterest. We introduce measures for characterizing the volume and coherence of Pinterest users’ pinning activity in a given category, their perceived and declared category-specific expertise and the response from the social network. We use such signals in the context of a supervised ML framework and report encouraging ...
متن کاملWeb Data Mining Techniques for Expertise-Locator Knowledge Management Systems
Knowledge management systems are making inroads into organizations that want to get a handle on their intellectual capital. To this end, we have designed and implemented Expert Seeker, an Expertise-Locator knowledge management system that will be used in several NASA Centers to identify experts within the organization. This paper presents the use of web data mining techniques to construct and m...
متن کاملMfWMA: A Novel Web Mining Architecture for Expert Discovery
Identification of expert to domain knowledge in any field of interest is essential for consulting in industry, academia and scientific community. The objective of this study is to address the expert-finding task in contemporary communities. We proposed Multifaceted Web Mining Architecture (MfWMA) and implemented a tool with data extracted from Growbag, dblpXML and web authors home page resource...
متن کامل