Steffen StaabSteffen STAAB

University of Koblenz-Landau

Accessing Linked Open Data

A core objective for linked data is the seamless mash-up of information from different data sources that serve data in an easy-to-deliver, resilient manner. The focus on the ease of serving data, however, puts significant burden on the consumer of linked open data. In particular, the consumer service must manage (i) data source discovery, (ii) data access, (iii) data source availability and (iv) data model and schema. In theory, querying, i.e. either federated querying of SPARQL 1.1 endpoints or link-traversal-based querying, is supposed to provide a layer of abstraction to facilitate data consumption. In practice, we will analyze and find that such querying is very useful, but using standards such as SPARQL 1.1 is far away from solving use case needs of data integration from linked data. We provide an analysis of the issues encountered when accessing linked open data and present our approach to tackle this problem. The approach includes effective and efficient capabilities for querying and programming against linked data sources indexing data in various ways, querying for objects represented in linked data and allowing for programming with them.


Short Biography:


Steffen studied in Erlangen (Germany), Philadelphia (USA) and Freiburg (Germany) computer science and computational linguistics. Afterwards he worked as researcher at Uni. Stuttgart/Fraunhofer and Univ. Karlsruhe, before he became professor in Koblenz. In his research career he has managed to avoid almost all good advice that he now gives to his team members. Such advise includes focusing on research (vs. company) or concentrating on only one or two research areas (vs. considering ontologies, semantic web, social web, data engineering, text mining, peer-to-peer, multimedia, HCI, services, software modelling and programming and some more). Though, actually, improving how we understand and use text and data is a good common denominator for a lot of Steffen's professional activities.




Yannis ManolopoulosYannis Manolopoulos

University of Thessaloniki, Greece


Top-k Dominating Queries: an introduction

A case of preference queries that have attracted significant interest are top-k dominating queries, which combine the advantages of top-k queries and skyline queries, whereas they eliminate their disadvantages. They return k data objects with the highest domination score. As a top-k query, the user can bound the number of returned results through the parameter k, and like a skyline query a user-selected scoring function is not required. Top-k dominating queries have been studied in indexed and non-indexed multi-dimensional data using efficient exact computation algorithms, on uncertain data using a randomized algorithm with an accuracy guarantee, and in streaming settings. We studied the top-k dominating queries over distance-based dynamic attribute vectors, defined over a metric space, using efficient progressive algorithms. In practice, top-k dominating queries become an efficient important tool for decision support, data mining, web search, and multi-criteria retrieval applications.

Short Biography:


Yannis Manolopoulos is Professor with the Department of Informatics of the Aristotle University of Thessaloniki. He has been with the University of Toronto, the University of Maryland at College Park and the University of Cyprus. He has also served as Rector of the University of Western Macedonia in Greece, Head of his own department, and Vice-Chair of the Greek Computer Society. His research interest focuses in Data Management. He has co-authored 5 monographs and 8 textbooks in Greek, as well as ~300 journal and conference papers. He has received >8500 citations from >1200 distinct academic institutions (h-index=42). He has also received 3 best paper awards from SIGMOD, ECML/PKDD and MEDES conferences and has been invited as keynote speaker in 10 international events. He has served as main co-organizer of several major conferences (among others): ADBIS 2002, SSTD 2003, SSDBM 2004, ICEIS 2006, EANN 2007, ICANN 2010, AIAI 2012, WISE 2013, CAISE 2014, MEDI 2015. He has also acted as evaluator for funding agencies in Austria, Canada, Cyprus, Czech Republic, Estonia, EU, Hong-Kong, Georgia, Greece, Israel, Italy and Russia. Currently, he serves in the Editorial Boards of (among others) The VLDB Journal, The World Wide Web Journal, The Computer Journal.

Yannis ManolopoulosMichel Raynal

Institut Universitaire de France

IRISA, Université de Rennes, France

Adjunct Professor, Hong Kong Polytechnic University



Communication Patterns and Input Patterns in Distributed Computing


Distributed computing problems are usually more difficult to solve in asynchronous message-passing than in synchronous message-passing. One way to cope with this issue consists in considering a higher abstraction communication layer that provides processes with message delivery properties that allow for an easier design and proof of applications. In this context, the talk will present and discuss two message communication patterns, which have revealed to be both simple and powerful, namely, message causal ordering and zigzag message paths. The second part of the talk will address agreement problems, and more specifically their input patterns, when processes have to agree despite asynchrony and failures. It will first show that it is possible to characterize the largest set of input patterns for which agreement can be solved. It will then presents an equivalence between input patterns and error-correcting codes, which provides us with a simple characterization of the input patterns for which consensus cannot solved. This approach gives a new view of the famous FLP impossibility result (which is one of the most important results of distributed computing).


Short biography:


Prof. Michel Raynal is among the top researchers in the world on the topic of distributed algorithms. He is a full professor at the Université de Rennes where he founded the Distributed Algorithms research group in 1984. He has been the principal investigator in numerous related research national and international projects, and he has been invited by more than 25 universities around the world to give lectures on distributed algorithms and distributed computing. He has over 300 academic publications on this topic, and has authored eleven of books on related topics. His current research interests include distributed algorithms, distributed computing systems, distributed computability and dependability; and the fundamental principles that underlie the design and the construction of distributed computing systems. Its last two books have been published by Springer in 2013, namely, “Distributed Algorithms for Message-Passing Systems” Springer, 510 pages (ISBN: 978-3-642-38122-5-2), and "Concurrent Programming: Algorithms, Principles and Foundations", Springer, 515 pages, 2012 (ISBN 978-3-642- 32026-2). Professor Michel Raynal is a senior member of the prestigious "Institut Universioataire de France".


Yannis ManolopoulosLuis Martínez

Universidad de Jaén , Spain



Enriching Linguistic Modelling In Decision Making With Hesitant Fuzzy Linguistic Term Sets


Uncertainty and vagueness are common in the information of real-world decision making problems and they are always hard and complex to manage properly. Experience shows that linguistic modelling is a good choice to model and manage such a type of information but it implies to operate with linguistic information by means of processes of Computing with Words (CW). Despite the existence of different linguistic computing models that provide tools that have improved significantly the decision solving processes based on CW, there are problems that cannot be yet successfully modelled and solved by these models. On the contrary, different challenges remain unsolved by using linguistic computing models. At the moment the results obtained by computing models, semantic and symbolic, are easy to interpret and accurate but they are still quite inflexible because of the nature of the linguistic variables, a big challenge for these models is to enrich the vocabulary for expressing the results and increase the operations that can be applied to the linguistic information. One novel and interesting proposal to fulfil this challenge is the use of hesitant fuzzy linguistic term sets that keep the basis of the fuzzy linguistic approach and the simplicity of the current models as much as possible from the understanding point of view.


Short biography:


  Luis Martínez was born in 1970. He received the M.Sc. and Ph.D. degrees in Computer Sciences, both from the University of Granada, Spain, in 1993 and 1999, respectively.

Currently, he is Full Professor of Computer Science Department and Head of ICT Research Centre at the University of Jaén. His current research interests are linguistic preference modelling, decision making, fuzzy logic based systems, computer aided learning, sensory evaluation, recommender systems and electronic commerce. He co-edited nine journal special issues on fuzzy preference modelling, soft computing, linguistic decision making and fuzzy sets theory and published more than 60 papers in journals indexed by the SCI as well as 30 book chapters and more than 100 contributions in International Conferences related to his areas.


It is remarkable that he has been main researcher in 12 R&D projects.


He is member of the European Society for Fuzzy Logic and Technology, IEEE. Co-Editor in Chief of the of the International Journal of Computational Intelligence Systems and an Associated Editor of the journals Information Fusion, the International Journal of Fuzzy Systems, Journal of Intelligent & Fuzzy Systems, the Scientific World Journal, Journal of Fuzzy Mathematics and serves as member of the journal Editorial Board of the Journal of Universal Computer Sciences. He received twice the IEEE TRANSACTIONS ON FUZZY SYSTEMS Outstanding Paper Award (2008 and 2012, bestowed in 2011 and 2015 respectively). And he is Guest Professor in the Southwest Jiaotong University and honourable professor in Xihua University both in Chengdu (China).


He has the following international rankings:

  • - ISI Essential Science Indicators - Most Cited Scientists in Engineering on November 6, 2014 to cover a 10-year plus 8-month period, January 1, 2004-August 31, 2014.(Top 1%, A total of 7155 in the 1% of the most cited authors list). L. Martínez Position: 2262. Number of citations: 714 High Cited Papers: 5
  • - ISI Essential Science Indicators - Most Cited Scientists in Engineering on November 6, 2014 to cover a 10-year plus 8-month period, January 1, 2004-August 31, 2014.(Top 1%, A total of 2938 in the 1% of the most cited authors list). L. Martínez Position: 976. Number of citations: 475 High Cited Papers: 5
  • - h Index (ISI Web of Science): 24

Yannis ManolopoulosBENFDILA Arezki

University M. Mammeri, Algeria

Image Processing and Applications in Nanotechnology


The present talk deals with the state-of-the-art and applications of Nanotechnology, as well as the use of image processing for characterizing nanotechnology features. Nanotechnology has been introduced in the last decades even though its origins are known since early times. Many developments have been boosted by nanotechnology and hence several applications in different fields of engineering and technology are developed. Nanotechnology has found applications in medical sciences and engineering, microelectronics, mechanics and material sciences. In microelectronics nontechnology or Nanoelectronics is supposed to substitute the classical microelectronics by introducing new materials and devices such as nanotubes and graphene. As the dimensions are reduced drastically, the materials and device properties become strongly linked to the surface the characterization of which becomes of paramount importance. However what are available as tools are mainly electrical and physical characterization do not give sufficient information as extracted from such measurements. Recently, imaging has been greatly seen to be a reliable surface characterization tool. Many images are obtained from Advanced Electronic Microscopes. However these images give less information using traditional tools (eyes interpretation or mapping). Introducing image processing was really very helpful in understanding the obtained images. We will give some examples in different applications such as ULSI integrated circuits reliability and material surface study.


Short biography:


 He got his DSc. In Microelectronics Engineering at the University M. Mammeri, Algeria in collaboration with other International Institutions. He is a full professor since 2005 and had many scientific positions. He was elected associate at ICTP UNESCO IAEA in June 2000 and elected again as a senior associate in 2009, position he holds up to date. He participated in very important events such as the national government projects as well as international events such as the G8- UNESCO Forum organized at ICTP in 2007. He has been elected as Bureau member of the African Physical Society in 2010. He directed many international research projects namely with CNRS France. He is director of government research projects from 1995 up to date. He is a reviewer at different journals and Associate editor at the ARP ICTP. He started the first master in microelectronic Engineering and has been elected as a member of the Pilot committee of the Algerian National Microelectronic Network. He was the initiator of the first Algerian network on Micro and nanotechnology, which has been followed by the international conference on Micro and Nanotechnology organized with a strong international collaboration in 2006 He published several papers in high standard journals participated in more than eighty conferences. He was invited speaker in some of them and guest lecture in others like the NATO School in Sozopol in June 2014. He has also directed many PhD and MPhil theses as well as Master and Engineer projects. He has been a member of the First board in charge of Launching the Algerian Academy of Sciences and Technology since April 2013







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