[et_pb_section fb_built=”1″ _builder_version=”3.16.1″][et_pb_row _builder_version=”3.16.1″][et_pb_column type=”4_4″ _builder_version=”3.16.1″][et_pb_text _builder_version=”3.16.1″]<\/p>\n
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[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.17.6″][et_pb_column type=”1_3″ _builder_version=”3.17.6″][et_pb_image src=”http:\/\/webintelligence2019.com\/wp-content\/uploads\/2019\/01\/staab_web.png” align=”center” force_fullwidth=”on” _builder_version=”3.17.6″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”3.17.6″][et_pb_text _builder_version=”3.21.4″]<\/p>\n
Professor of Databases and Information Systems
Universit\u00e4t Koblenz-Landau,\u00a0Germany<\/p>\n
Web Futures – Inclusive, Intelligent, Sustainable<\/strong><\/em><\/p>\n Almost from its very beginning, the Web has been ambivalent. Biography<\/strong><\/p>\n Steffen is full professor for Databases and Information Systems at the Universit\u00e4t Koblenz-Landau, Germany, and full professor for Web and Computer Science at University of Southampton, UK. He studied in Erlangen (Germany), Philadelphia (USA) and Freiburg (Germany) computer science and computational linguistics. In his research career he has managed to avoid almost all good advice that he now gives to his team members. Such advice 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.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.17.6″][et_pb_column type=”1_3″ _builder_version=”3.17.6″][et_pb_image src=”http:\/\/webintelligence2019.com\/wp-content\/uploads\/2019\/04\/deRijke.png” align=”center” force_fullwidth=”on” _builder_version=”3.21.4″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”3.17.6″][et_pb_text _builder_version=”3.21.4″]<\/p>\n Professor of Artificial Intelligence and Information Retrieval Conversations Based on Search Engine Result Pages<\/strong><\/em><\/p>\n How might we convey the information that is traditionally returned by a search engine in the form of a complex search engine result page (SERP) in a meaningful and natural conversation? In the talk I will start from recent work on so-called background based conversations, where a conversational agent has access to additional background information to help it generate more natural and appropriate responses. Then, I will talk about ongoing work on our next step: SERP-based conversations. I will will explain the task definitions, describe pipelines (subtasks), baselines, datasets, etc. Finally, I will describe the differences between background-based and SERP-based conversations and their relations to other, related tasks. Our work on SERP-based conversations is in its early stages, leaving lots of opportunities for follow-up research.<\/p>\n Based on joint work with Pengjie Ren, Nikos Voskarides, and Svitlana Vakulenko.<\/p>\n Biography<\/strong><\/p>\n Maarten de Rijke is University Professor of Artificial Intelligence and Information Retrieval at the University of Amsterdam. He holds MSc degrees in Philosophy and Mathematics (both cum laude), and a PhD in Theoretical Computer Science. He worked as a postdoc at CWI, before becoming a Warwick Research Fellow at the University of Warwick, UK. He joined the University of Amsterdam in 1998, and was appointed full professor in 2004. He is a member of the Royal Netherlands Academy of Arts and Sciences (KNAW) and a recipient of a Pioneer Personal Innovation grant, the Tony Kent Strix Award, the Bloomberg Data Science Research Award, the Criteo Faculty Research Award, the Google Faculty Research Award, the Microsoft PhD Research Fellowship Award, and the Yahoo Faculty and Research Engagement Program Award as well as a large number of NWO grants.\u00a0He is the director of the newly established Innovation Center for Artificial Intelligence and a former director of Amsterdam Data Science.<\/p>\n De Rijke leads the Information and Language Processing Systems group at the Informatics Institute of the University of Amsterdam, one of the world\u2019s leading academic research groups in information retrieval. His research focus is at the interface of information retrieval and artificial intelligence, with projects on online and offline learning to rank, on recommender systems, and on conversational search.<\/p>\n A Pionier personal innovational research incentives grant laureate (comparable to an advanced ERC grant), De Rijke has helped to generate over 65MEuro in project funding. With an h-index of 69 he has published over 750 papers, published or edited over a dozen books, is editor-in-chief of ACM Transactions on Information Systems, co-editor-in-chief of Foundations and Trends in Information Retrieval and of Springer\u2019s Information Retrieval book series, (associate) editor for various journals and book series, and a current and former coordinator of retrieval evaluation tracks at TREC, CLEF and INEX. Recently, he was co-chair for SIGIR 2013, general co-chair for ECIR 2014, WSDM 2017, and ICTIR 2017, co-chair \u201cweb search systems and applications\u201d for WWW 2015, short paper co-chair for SIGIR 2015, and program co-chair for information retrieval for CIKM 2015.<\/p>\n The retrieval and language technology developed by De Rijke\u2019s research group is being used by organizations around the Netherlands and beyond, and has given rise to various spin-off initiatives.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.17.6″][et_pb_column type=”1_3″ _builder_version=”3.17.6″][et_pb_image src=”http:\/\/webintelligence2019.com\/wp-content\/uploads\/2019\/05\/vilo_web_new.png” align=”center” force_fullwidth=”on” _builder_version=”3.21.4″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”3.17.6″][et_pb_text _builder_version=”3.21.4″]<\/p>\n University of Tartu, Estonia Biomedical data infrastructure and analysis<\/strong><\/em><\/p>\n Life sciences are quickly becoming one of the largest producers of scientific as well as observational routine care data. What sets it apart from large centralised infrastructure like\u00a0 particle colliders or space telescopes, is the distributed nature of data production that is happening in smallest labs or large international consortia and everything in between. The challenges arise from the ever increasing volumes of data, huge variety and diversity of data types and in the case of human data also the security and privacy aspects. Bioinformatics is essential – it can be often embedded within research groups, focus on methods development, develop infrastructure for long term data maintenance and re-use, or focus on novel biological questions through using public data for \u201cdry\u201d experimentation and secondary use. Large centers focus on managing the long-term usability of the data through centralised data submission and curation activities. Databases can be repositories of primary data, curated selective databases, or derivative domain specific databases and resources. All of this requires coordination of standards, tools, end-user training, etc. ELIXIR is a bioinformatics data infrastructure effort on the ESFRI roadmap.\u00a0 Main role of ELIXIR is to develop and coordinate data, tools, compute, training and standards. For example, the FAIR principles (data has to be Findable, Accessible, Interoperable, Reusable) for data use have been developed for the field. These guidelines have been now adopted widely for data management and stewardship. <\/span><\/p>\n But not all data can be made publicly available over the Internet for many valid reasons – this includes human DNA sequence data of patients, their electronic health records etc. Biobanks and large health data cohorts are developing approaches for data management, analysis and sharing in responsible manners while also protecting data subjects. Again, the large consortia and standards developments are needed. OHDSI is an organisation aiming making observational health data available for research purposes through open data standards – common data model OMOP-CDM and open source software and tools. Goal of IMI EHDEN project, for example, is to enable at least 100M individuals data in such distributed data network. <\/span><\/p>\n I will touch upon our activities on those various fronts of biomedical data and show how these data are managed and analysed in Estonia combining health records and DNA. We are also developing the personalised (or precision) medicine approaches and infrastructure that would \u201ctranslate\u201d from research to medical use and bring the genetic information in usable forms to patients and doctors for example for preventive approaches or patient\u2019s genetic background based warnings already during the regular prescription process. <\/span><\/p>\n Biography<\/strong><\/p>\n Prof. Jaak Vilo heads the Data Science chair and the Institute of Computer Science at University of Tartu, Estonia and leads the health data analytics of STACC, a public-private research organisation in Estonia. He earned his PhD in Computer Science at University of Helsinki, Finland. In 1999-2002 he worked at the European Bioinformatics Institute, UK as one of the pioneers in early gene expression microarray data analytics. There he developed the Expression Profiler toolset for various biological data analysis tasks. In 2002, after 12 years abroad, he moved back to Estonia to help creating the Estonian Biobank in PPP partnership with VC investments as director of informatics of EGeen Ltd. He also started his own research group BIIT at University of Tartu, now about 20-people strong. His group applies data analysis, machine learning and algorithmic techniques to a broad range of biological and health data and applications. Linking genomics and many other omics data and health records is a key to developing methods for personalisation of medicine. Medical data, lab measurements, pharmacogenetics and overall multi-genic disease risk scores are complicated to handle due organisational and national barriers, yet international research would benefit greatly from opening up and sharing such data and research results. Prof. Vilo is a head of ELIXIR-Estonia node of the pan-European biological data infrastructure whose mission is to facilitate global data re-use.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.17.6″][et_pb_column type=”1_3″ _builder_version=”3.17.6″][et_pb_image src=”http:\/\/webintelligence2019.com\/wp-content\/uploads\/2019\/08\/gunopoulos_wipng.png” align=”center” force_fullwidth=”on” _builder_version=”3.21.4″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”3.17.6″][et_pb_text _builder_version=”3.21.4″]<\/p>\n National and Kapodistrian University of Athens<\/p>\n Urban Mobility Data: Challenges and Prospects<\/strong><\/em><\/p>\n Human urban trajectory data collected from GPS-enabled mobile devices or vehicles are widely used in several applications including urban planning, traffic management, location based services. We consider several trajectory data analysis problems that come up in such settings. These include the problem of map creation from GPS trajectories, the problem of identifying frequently travelled paths, and the vehicle travel time estimation problem using historical data and real time data from only a small number of floating cars.<\/p>\n Biography<\/strong><\/p>\n Dimitrios Gunopulos got his PhD from Princeton University in 1995. He has held positions as a Postdoc at the Max-Planck-Institut for Informatics, Researcher at the IBM Almaden Research Center, Visiting Researcher at the University of Helsinki, Professor at the Department of Computer Science and Engineering in the University of California Riverside, Professor in the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, and Visiting Researcher, Microsoft Silicon Valley Research Center. His research is in the areas of Smartcities, Big Data, Data Mining, Databases, Sensor and Peer-to-Peer networks, Algorithms and Computational Geometry. He has co-authored over two hundred journal and conference papers that have been widely cited(h-index 72). His research has been supported by NSF (including an NSF CAREER award), the DoD, the Institute of Museum and Library Services, the Tobacco Related Disease Research Program, the European Commission, the General Secretariat of Research and Technology, AT&T, Nokia, a Yahoo FREP Award and a Google Faculty Award. He has served as a General co-Chair in SIAM SDM 2018, SIAM SDM 2017, HDMS 2011, and IEEE ICDM 2010 and as a PC co-Chair in ICDE 2020, ECML\/PKDD 2011, IEEE ICDM 2008, ACM SIGKDD 2006, and SSDBM 2003.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=”on|on|on” _builder_version=”3.21.4″ disabled=”on”][et_pb_column type=”1_3″ _builder_version=”3.17.6″][et_pb_image src=”http:\/\/webintelligence2019.com\/wp-content\/uploads\/2019\/04\/giaglis_web_new.png” align=”center” force_fullwidth=”on” _builder_version=”3.21.4″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”3.17.6″][et_pb_text _builder_version=”3.21.4″]<\/p>\n Director of the Institute for the Future What\u2019s next for blockchain research?\u00a0<\/strong>From M2M commerce to self-sovereign identities for machines<\/strong><\/em><\/p>\n The first wave of blockchain research, innovation and implementation has been under way for almost ten years now. Distributed ledgers have created new paradigms for disintermediated value exchange and, in the process, have given rise to (sometimes irrationally inflated) expectations about their potential impact to economy and society.<\/p>\n Today, as we move toward a more in-depth appreciation of blockchain capabilities and limits, new research challenges arise that will demand the attention of the research community, as well as industrial practice, in coming years. In this talk, I will go through three such challenges, discussing ways in which they might influence our future research and technology development agendas:<\/p>\n Biography<\/strong><\/p>\n Professor George M. Giaglis is Director of the Institute for the Future at the University of Nicosia, as well as a leading expert on blockchain technology and applications and advisor to many blockchain projects and technology start-ups. Prior to joining UNIC, he was Professor at the Athens University of Economics and Business (2002-2017), where he also served as Vice Rector (2011-2015). George has been working on digital currencies and blockchain since 2012, with his main focus being on new forms of industrial organization (programmable smart contracts, decentralized applications and distributed autonomous organizations) and new forms of corporate financing (token economy, crypto-economics and ICOs). He has been one of the first academics to research and teach on blockchain, having: designed the curriculum of the world\u2019s first full academic degree on blockchain (MSc in Digital Currency at the University of Nicosia); led the development of blockchain credentialing technology that has resulted in the first ever publishing of academic certificates on the blockchain; taught on the disruptive innovation potential of blockchain, both at academic programs and in executive seminars worldwide; organized a number of prominent blockchain conferences and events, including Decentralized. Throughout his career, he has published more than 10 books and 150 articles in leading scientific journals and conferences, while he is frequently interviewed by media and invited as keynote speaker or trainer in events across the globe. He is the Chief Editor for Blockchain Technology at the Frontiers in Blockchain Journal and member of the Editorial Board at Ledger.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" K E Y N O T E\u00a0 S P E A K E R S Steffen Staab Professor of Databases and Information Systems Universit\u00e4t Koblenz-Landau,\u00a0Germany Web Futures – Inclusive, Intelligent, Sustainable Almost from its very beginning, the Web has been ambivalent.It has facilitated freedom for information, but this also included the freedom to spread misinformation. 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It has facilitated freedom for information, but this also included the freedom to spread misinformation. It has faciliated intelligent personalization, but at the cost of intrusion into our private lifes. It has included more people than any other system before, but at the risk of exploiting them.
The Web is full of such ambivalences and the usage of artificial intelligences threatens to further amplify these ambivalences. To further the good and to contain the negative consequences, we need a research agenda studying and engineering the Web, as well as numerous activities by societies at large. In this talk, I will present and discuss a joint effort by an interdisciplinary team of Web Scientists to prepare and pursue such an agenda.<\/p>\nMaarten de Rijke<\/strong><\/h4>\n
<\/span>University of Amsterdam, The Netherlands<\/p>\nJaak Vilo<\/strong><\/h4>\n
STACC Competence Center, Estonia<\/p>\nDimitrios Gunopulos<\/strong><\/h4>\n
George Giaglis<\/strong><\/h4>\n
University of Nicosia, Cyprus<\/p>\n\n