Dr. Panos Alexopoulos gave a talk to SWE(Semantic Web Engineering) students about ontology authoring in industry. The talk gave the experiences and lessons learnt from various research and commercial projects about ontology authoring.
Dr. Panos Alexopoulos, K-Drive fellow from iSOCO, continues his secondment in University of Aberdeen. In this two weeks’ secondment, his work will be focusing on D7.2: Interactive UI design. As usual, Dr. Alexopoulos will give seminars in departmental level and/or some guest lectures to Level-4 students. Relevant events will be announced later.
Dr. Jeff Z. Pan gave a tutorial in JIST2014 conference on Constructing and Understanding Knowledge Graph.
Abstract: The benefits and potentials of Linked Data (LD) have been utilised and demonstrated by numerous applications from academic, industry and public sectors. This explains the recent vast increase of LD not only in data volume but also in number of datasets and related domains. However, consuming a linked dataset requires technical background of Semantic Web (SW) techniques and the knowledge of the dataset. Direct use of such valuable knowledge space is very time consuming and is still a privilege of SW “geeks”. In this tutorial, we propose the vision of converting LD into knowledge graphs which are not only capable to enhance accessibilities in LD consumption but also enable LD directly usable to end users. Specifically, this tutorial consists of two parts. The first part will introduce the overview, applications and research challenges to create knowledge graphs on top of LD. The second part will focus on specific techniques for knowledge graph, including knowledge graph construction and knowledge graph understanding.
Yuan Ren, a fellow of K-Drive project, successfully defended his PhD thesis on 5th of Nov. 2014. Yuan’s external examiner is Prof Franz Baader. Congratulations to Yuan! One important achievement of K-Drive!
Speaker: Franz Baader
Abstract: Our understanding of the notion “dynamic system” is a rather broad one: such a system has states, which can change over time. Ontologies are used to describe the states of the system, possibly in an incomplete way. Monitoring is then concerned with deciding whether some run of the system or all of its runs satisfy a certain property, which can be expressed by a formula of an appropriate temporal logic. We consider different instances of this broad framework, which can roughly be classified into two cases. In one instance, the system is assumed to be a black box, whose inner working is not known, but whose states can be (partially) observed during a run of the system. In the second instance, one has (partial) knowledge about the inner working of the system, which provides information on which runs of the syste are possible. In this talk, we will review some of our recent research that investigates different instances of this general framework of ontology-based monitoring of dynamic systems.
Bio: Franz Baader is full professor for Theoretical Computer Science at TU Dresden, Germany, since 2002. He has obtained his PhD in Computer Science at the University of Erlangen, Germany, in 1989. He was senior researcher at the German Research Institute for Artificial Intelligence (DFKI) for four years, and associate professor at RWTH Aachen for eight years. His main research area is Logic in Computer Science, in particular knowledge representation (description logics, modal logics, nonmonotonic logics) and automated deduction (term rewriting, unification theory, combination of decision procedures). Franz Baader is an ECCAI Fellow since 2004 and a member of the Academia Europea since 2011.
Venue: Meston 6 (aka Meston 55)