8th International Conference on Web Intelligence, Mining and Semantics
June 25 – 27 2018, Novi Sad, Serbia
The document-oriented workflows in science have reached (or already exceeded) the limits of adequacy as highlighted for example by recent discussions on the increasing proliferation of scientific literature and the reproducibility crisis. Now it is possible to rethink this dominant paradigm of document-centered knowledge exchange and transform it into knowledge-based information flows by representing and expressing knowledge through semantically rich, interlinked knowledge graphs. The core of the establishment of knowledge-based information flows is the creation and evolution of information models for the establishment of a common understanding of data and information between the various stakeholders as well as the integration of these technologies into the infrastructure and processes of search and knowledge exchange in the research library of the future. By integrating these information models into existing and new research infrastructure services, the information structures that are currently still implicit and deeply hidden in documents can be made explicit and directly usable. This has the potential to revolutionize scientific work because information and research results can be seamlessly interlinked with each other and better mapped to complex information needs. Also research results become directly comparable and easier to reuse.
Sören Auer studied Mathematics and Computer Science in Dresden, Hagen and Yekaterinburg (Russia). In 2006 he obtained his doctorate in Computer Science from Universität Leipzig. From 2006-2008 he worked with the database research group at the University of Pennsylvania, USA. In 2008 he founded AKSW research group at University of Leipzig, which he led till 2013. From 2013 to 2017, he held the chair for Enterprise Information Systems at University of Bonn and led a department at Fraunhofer Institute for Analysis and Information Systems (IAIS). In 2017 he was appointed as professor for Data Science and Digital Libraries at Leibniz University of Hannover and director of TIB German National Library of Science and Technology. Sören has made contributions to semantic web technologies, knowledge engineering, software engineering, as well as databases and information systems. Sören is author (respectively co-author) of over 100 peer-reviewed scientific publications. He received several awards, such as the ESWC 7-year best paper award, the or the OpenCourseware Innovation award. He led / is leading several large-scale collaborative research projects such as the European Union’s H2020 flagship project BigDataEurope. Sören is co-founder of several high-impact research and community projects such as the Wikipedia semantification project DBpedia, the OpenCourseWare authoring platform SlideWiki.org or the scholarly communication metadata platform OpenResearch.org. The technology Sören develops with his team fuels many industrial applications.
This talk presents a general framework to demonstrate the prominent role of diversity in the effectiveness of collective performance. There appears to be ample evidence that diversity is one of the essential criteria of which a collective to be intelligent. Intuitively, a collective involving diverse individuals may add new information, new perspectives, and so forth on the problem that needs to be solved. Moreover, the diversity of individual solutions to the given problem has been proven helpful in eliminating the phenomenon of correlated errors. We have defined the objectives to investigate the influence of the latter kind of diversity on the collective performance by taking into account the collective cardinality. Our findings qualify the positive impact of diversity on collective performance. Particularly, collectives with higher diversity levels will lead to better collective performances. Subsequently, expanding the collective cardinality that causes an increase in its diversity will also be positively associated with the collective performance. With some restrictions, the hypothesis "The more diverse the collective, the higher the collective performance" is formally proved. Furthermore, the conditions under which increasing the cardinality of a collective will cause its diversity to be increased (or decreased) are worked out.
Ngoc Thanh Nguyen is a full professor of Wroclaw University of Science and Technology, and the Head of Information Systems Department in the Faculty of Computer Science and Management. His scientific interests consist of collective intelligence, knowledge integration methods, inconsistent knowledge processing, and multi-agent systems. He has edited more than 30 special issues in international journals, 52 books and 35 conference proceedings. He is the author or co-author of 5 monographs and more than 350 journal papers and conference papers. Prof. Nguyen serves as Editor-in-Chief of International Journal of Information and Telecommunication (Taylor&Francis), Transactions on Computational Collective Intelligence (Springer) and Vietnam Journal of Computer Science (Springer). He is also an Associate Editor of several prestigious international journals. He was a General Chair or Program Chair of more than 40 international conferences. He serves as an expert of National Center of Research and Development and European Commission in evaluating research projects in several programs like Marie Sklodowska-Curie Individual Fellowships, FET and EUREKA. He has given 20 plenary and keynote speeches for international conferences, and more than 40 invited lectures in many countries. In 2009 prof. Nguyen was granted of title Distinguished Scientist of ACM. He was also a Distinguished Visitor of IEEE and a Distinguished Speaker of ACM. He serves as the Chair of IEEE SMC Technical Committee on Computational Collective Intelligence.
Today everybody can be informed about anything and everything. Information is available online presenting facts, expressing different views, giving more or less credible data. We are all interconnected and co-exist in the same global environment, interacting on different levels. Electronic media, via physical network of devices and electronic interconnections between them, is making it very tangible. Crossing barriers between different countries, cultures, languages, life styles etc. is today a part of normal life. We cannot pretend it is not happening thus we suggest to put efforts in becoming more aware of the environment we all live in via monitoring of worldwide events. Focusing on the events reported in electronic media, we see several challenges that motive research on text data analytics. To contribute to that end, we have developed a system http://EventRegistry.org for observing events around the world in real-time via collecting information from over 300,000 news and social media sources. The underlying methods for text mining and data analytics enable handling large amount of textual data across different languages, enriching data with semantic information, extracting information and identifying events, streaming information about events in open data formats, organizing and representing events to support observing global social dynamics. The talk will discuss challenges and research/technical solutions.
Prof. dr. Dunja Mladenic is leading Atrificial Intelligence Laboratory at Jozef Stefan Institute, serving on the Institute’s Scientific Council (2013-2017) as a vice president (2015-2017) and working on a number of research projects mainly related to Machine Learning, Data and Text Mining, Big Data Analytic, Semantic Technologies and their application on real-world problems. Professor at Jozef Stefan International Postgraduate school, and University of Primorska teaching curses related to Data Analytics. Kundalini Research Institute Certified Kundalini Yoga instructor and certified Shakti Dance® – Yoga of dance instructor. She was a visiting researcher with Tom Mitchell at School of Computer Science, Carnegie Mellon University, USA (1996-1997) and (2000-2001). General chair of ECML PKDD-2009, program co-chair of ECML PKDD-2007, tutorial chair of ECML PKDD-2005, awards chair of ECML PKDD-2003, proejct showcase chair of KDD-2018, poster chair of KDD-2009, Workshop and Tutorial chair for ICML-2003, Workshop chair for ICML-1999. President of Slovenian Artificial Intelligence Society SLAIS (2010-2014), Advisory board member of ACM Slovenija. Slovenian representative in EC Enwise STRATA ETAN Expert GroupPromoting women scientists from the Central and Eastern European countries and the Baltic States to produce gender equality in science in the wider Europe. Member of the national expert body for Women in Science at Slovenian Ministry of Education Science and Sport (2014 – 2018).