More informations will be provided soon.
for Knowledge Acquisition for the Semantic Web
Marta Sabou (KMI, Open University UK)
Johanna Voelker (AIFB, University of Karlsruhe)
Atanas Kiryakov (Ontotext Lab, Sirma AI)
This tutorial takes a detailed view to several human language technical aspects and actual approaches that use HLT for automating Semantic Web specific knowledge acquisition tasks such as ontology learning and population. The tutorial will cover some key open-source HLT tools, thus enabling the participants to put easily their newly learned skills into practice. This will be followed by a number of example Semantic Web applications.
Guus Schreiber (Vrije Universiteit Amsterdam)
Alan Rector (University of Manchester)
The tutorial will introduce participants to the use of design patterns in ontology engineering, in three different forms: logical patterns, content patterns, and best practices. For example, OWL macros, reusable conceptual models, and best practices for migrating metadata structures will be characterized and exemplified. ODPs will be compared to data modelling, knowledge, and SE engineering patterns, as well as to foundational and core ontologies. Appropriate time will be allocated to the analysis of realistic ontology engineering use cases that can be usefully tackled by means of ODPs. The tutorial will include a hands-on session on applying ODPs to small but meaningful use cases.
Peter Vojtas (Charles University, Prague, Czech Republic)
There is a long tradition of imperfect knowledge processing in the field of knowledge engineering. Various approaches and methods have been proposed for vague, imprecise, uncertain, incomplete, ambiguous or inconsistent knowledge representation in last decades. This situation starkly contrasts to little attention paid to imperfect knowledge in current technological solutions. The objective of the workshop is to bring together researchers and practitioners from different communities, to discuss the current state-of-the-art in imperfect knowledge modeling, and to identify key requirements for the future in knowledge engineering and knowledge management.
Yannis Avrithis (National Technical University of Athens, Greece)
Georgios Paliouras (NCSR Demokritos, Greece)
BOEMIE 2006 focuses on the automation of the process of knowledge acquisition from multimedia content, using evolving multimedia ontologies which will be used for the extraction of information from multimedia content in networked sources. The goal is to develop synergistic approaches that combine multimedia extraction and ontology evolution in a bootstrapping process involving, on the one hand, the continuous extraction of semantic information from multimedia content in order to populate and enrich the ontologies and, on the other hand, the deployment of these ontologies to enhance the robustness of the extraction process.