IBM Colleagues, Drs Marco Mondi and Yuting Zhao, will come Aberdeen University and work with the local team on K-Drive project for 2 weeks. Dr Mondi will do his secondments with a special focus on WP5&6. Dr Zhao will work with Dr Honghan Wu on Stream Semantic Querying and also start to take over the (technical) project management for the rest project period.
K-Drive will have a two-day workshop in Modena, Italy at 7th-8th, May 2015. The workshop will discuss:
– K-Drive project: management, work package implementation and scientific researches;
– K-Drive book: status update, chapter discussion, timeline revision and next action points;
– Future collaboration opportunities: proposal ideas, research topics and knowledge transfer projects.
From this week, Dr. Jeff Z. Pan is doing his secondment in ESI (iSOCO). The secondment will last two weeks and will consist of the following activities:
– Collaborative Research Activities on the work package of Interactive Intelligent User Interface
– Project Meeting Arrangement: planing the upcoming K-Drive project meeting
– Other project management activities: iSOCO – ESI transition
– Knowledge Transfer Activities
The workshop will take place at University of Aberdeen, 11.00-16.00, Monday 12th January, 2015.
By attending, you can learn about existing applications of Linked Data as well as applications of recent research in the area from various organisations, industry professionals and academics in and around Scotland.
The workshop is free and open to anyone, to register and find out more please go to
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.
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)
Speaker: Prof Thomas Eiter (TU Wien)
Title: Towards a Logic-based Framework for Analyzing Stream Reasoning
2-3pm, 29th Oct. 2014
Abstract: The rise of smart applications has drawn interest to logical reasoning over data streams. Recently, different query languages and stream processing / reasoning engines were proposed in different communities. However, due to a lack of theoretical foundations, the expressivity and semantics of diverse approaches was given only informally. Towards clear specifications and means for analytic study, a formal framework is desired that allows to characterize their semantics in precise terms. Inspired by this, we present ideas on a logic-based such framework, which features rules and window operators that provide a flexible mechanism to represent views on streaming data. We briefly discuss some complexity issues and relationships to stream query / reasoning languages, in particular capturing of the Continuous Query Language (CQL). This work is part of an ongoing project funded by the Austrian Science Fund.
Bio: Thomas Eiter is a professor at TU Wien since 1998, where he heads the Knowledge Base Systems Group (KBS) and the Institute of Information Systems. Among his current research interests are knowledge representation and reasoning, computational logic, and declarative problem solving. He co-chaired various meetings, most recently KR 2014 and the Vienna Summer of Logic, the largest event in the history of logic. Eiter is an ECCAI Fellow and Corresponding Member of the Austrian Academy of Sciences, and current president of KR, Inc.
In ISWC2014 conference, Jeff Z. Pan gave a tutorial on Large Scale Reasoning Over Semantic Data.
Abstract: The tutorial aims to provide an overview of the approaches used for large scale reasoning over semantic data, the systems developed as well as the lessons learned while developing them. We will discuss some applications which require scalable reasoning solutions. Questions such as what makes distributed/parallel reasoning hard would also be covered during the tutorial. Directions for future research work would be discussed.
Speaker: Olivier Curé (University of Paris-Est) <http://igm.univ-mlv.fr/%7Eocure/LIGM_LIKE/>
Title: WaterFowl: a Compact, Self-indexed RDF Store based on Succinct Data Structures
Time: 24 September 2014, 14:00 – 15:00
Location: Meston 2 (ground floor)
Abstract:This talk will start with an introduction of the main strategies for storing and indexing RDF data sets. This will consider solutions based on a native RDF approach but also approaches using a relational or NoSQL storage backend. Then, I will present the main features of an on-going work that aims to distribute highly compressed structures adapted for the storage and querying of RDF triples. The compactness of the represented data is supported by an architecture based on Succinct Data Structures (SDS) which enables to store large datasets in main memory. A special form of entity encoding enables inferences in the RDFS entailment regime.
Bio:Olivier Curé is an Associate Professor at the University of Paris-Est Marne-la-Vallée. His research focuses primarily on Knowledge Representation, Reasoning and Database systems. He is particularly interested on bridging these different fields of Computer Science. Some of the results he has obtained have been applied to the medical domain, more precisely in self-medication. During the 2014-2015 year, he will be on a leave of absence and will be a researcher in the LIP6 Database group at the Paris VI Pierre and Marie Curie University.
Dr. José Manuel Gómez Pérez, one of our Marie Currier Fellows of K-Drive project, will give a talk in University of Aberdeen.
Title: When History Matters – Assessing Reliability for the Reuse of Scientific Workflows
Abstract: Scientific workflows play an important role in computational research, as the essential artifacts for communicating the methods used to produce the research findings. We are witnessing a growing number of efforts of treating workflows as first-class artifacts for sharing and exchanging scientific knowledge, either as part of scholarly articles or as stand-alone objects. However, workflows are not born to be reliable, which can seriously damage their reusability and trustworthiness as knowledge exchange instruments. Scientific workflows are commonly subject to decaying, which consequently undermines their reliability over their lifetime. The reliability of workflows can be notably improved by advocating scientists to preserve a minimal set of information that is essential to assist the interpretations of these workflows and hence improve their potential for reproducibility and reusability. In this talk we show how, by measuring and monitoring the completeness and stability of scientific workflows over time we are able to provide scientists with a measure of their reliability, supporting the reuse of trustworthy scientific knowledge.
Venue: Meston 2
Time:14:00-15:00, 29 Sep. 2014