Mining web data for competency management

We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and associates. We discuss the problems associated with evaluating unsupervised learners and report our initial evaluation experiments

Combining text categorizers

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN043326 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Contextualized Knowledge Acquisition in a Personal Semantic Wiki

Abstract. The use of semantic representations in document-oriented environments – as formal annotations or embedded instances of a formal knowledge base – is seen as an enabling technology for intelligent services which may help knowledge workers in tasks like finding, structuring, or assessing information. Also, a high level of formalization has potential to directly support problem solving, e.g., by the application of inferencing services. A coupling of textual and formal representations in documentcentered knowledge work raises, amongst others, two questions: i) How can the acquisition of formal knowledge in such an environment be facilitated? ii) How can the potential complexity of formal annotations during a document’s life and use cycle be adequately handled? We present the Mymory workbench as an approach to investigate and tackle these challenges. Mymory is based on a semantic wiki system and supports manual as well as automated annotations of wiki documents. These annotations can be framed by automatically obtained models o