Knowledge Organization Systems (KOS) include term lists, metadata-like models, classification schemes, and relationship models (such as thesauri, topic maps, semantic networks, and ontologies). This talk discusses the functions of KOS (such as eliminating ambiguity, controlling synonyms, making explicit semantic relationships, presenting relationships as well as properties of concepts), and the their applications in supporting digital libraries, learning, intelligence analysis (such as sense-making), and knowledge discovery through inference.
<p>Dr. Yejun Wu is an Associate Professor in the School of Library and Information Science at the Louisiana State University, USA. His research areas include knowledge organization, information retrieval and classification. His recent research projects include retrieval of digital, historical political cartoons, enriching thesauri with explicit concept relationships, developing an oil spill topic map, taxonomy development and evaluation. Before completing his Ph.D. degree at the University of Maryland, he worked at the Institute of Scientific and Technical Information of China on open-source intelligence analysis, promotion of information products and services, and administration.<br /><br /></p>