JIST2012: The 2nd Joint International Semantic Technology Conference Dec 2 - 4, 2012, Nara, Japan

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Invited Speakers

Monday, December 3
9:30 - 10:20 (Noh theatre) [Chair: Riiciro Mizoguchi]
Publishing and Using Cultural Heritage Linked Data - Why the Semantic Web Makes a Difference
Eero Hyvönen
, Aalto University, Finland

Abstract. Cultural Heritage (CH) data is syntactically and semantically heterogeneous, multilingual, semantically rich, and highly interlinked. It is produced in a distributed, open fashion by museums, libraries, archives, and media organizations, as well as individual persons. Managing publication of such richness and variety of content on the Web, and at the same time supporting distributed, interoperable content creation processes, poses challenges where traditional publication approaches need to be re-thought. Application of the principles and technologies of Linked Data and the Semantic Web is a new, promising approach to address these problems. This development is leading to the creation of large national and international CH portals, such as Europeana, to large open data repositories, such as the Linked Open Data Cloud, and massive publications of linked library data in the U.S., Europe, and Asia. Cultural Heritage has become one of the most successful application domains of Linked Data and Semantic Web technologies.

This talk gives an overview, based on [1], on why, when, and how Linked (Open) Data and Semantic Web technologies can be employed in practice in publishing CH collections and other content on the Web. I first motivate and present a general semantic portal model and publishing framework as a solution approach to distributed semantic content creation, based on an ontology infrastructure. On the Semantic Web, such an infrastructure includes shared metadata models, ontologies, and logical reasoning, and is supported by shared ontology and other Web services alleviating the use of the new technology and linked data in legacy cataloging systems. The goal of all this is to provide layman users and researchers with new, more intelligent and usable Web applications that can be utilized by other Web applications, too, via well-defined Application Programming Interfaces (API). At the same time, it is possible to provide publishing organizations with more cost-efficient solutions for content creation and publication.

The presention will be based on practical experiences in developing a series of semantic portals for CH, including MuseumFinland - Finnish Museums on the Semantic Web (2004), CultureSampo - Finnish Culture on the Semantic Web 2.0 (2009), BookSampo - Semantic Portal for Finnish Fiction Literature (2011), and TravelSampo - Mobile Contextualized Services of Cultural Tourism (2012).

[1] Eero Hyvo"nen: Publishing and Using Cultural Heritage Linked Data on the Semantic Web. Morgan & Claypool, Palo Alto, CA, USA, 2012, 159 pp.

Bio. Eero Hyvönen is professor of semantic media technology at the Aalto University, Department of Media Technology, and an adjunct professor of computer science and part-time research director at the University of Helsinki, Department of Computer Science. He directs the Semantic Computing Research Group SeCo specializing on Semantic Web technologies and applications. A major theme in his research during the last years has been development of the national level semantic web infrastructure FinnONTO and its application in different areas, such as Cultural Heritage. Eero Hyvonen has published over 300 research articles and books. With the SeCo group, he has got several international and national awards, including the Semantic Web Challence Award (twice), World Summit Award (WSA), and Apps4Finland. He acts in the editorial boards of Semantic Web - Interoperability, Usability, Applicability; Semantic Computing; International Journal of Metadata, Semantics, and Ontologies, and has co-chaired and acted in the programme committees of tens of major international conferences (ESWC, ISWC, IJCAI, ICSC etc.).


Monday, December 3
14:00 - 14:50 (Noh theatre) [Chair: Hideaki Takeda]
A Large Scale Text Processing for Semantic-Oriented Knowledge Management - Linking Meanings with Knowledge
Junichi Tsujii
, Microsoft Research Asia (MSRA), China

Abstract. The volume of scientific publication has been dramatically increasing and how to extract crucial pieces of information embedded in scientific publication and leverage them for future research becomes an important technology challenge in e-Science. The National Centre for Text Mining in UK, which I worked for till 2011, has been engaged in text mining research for scientific research. My talk focuses on Natural Language Processing which will play critical roles in semantics-based text mining, and will argue that the techniques will be deployed to wider areas in semantics-based knowledge management than e-Science. I will talk。。about a new emerging technological discipline in which the four traditional technologies, NLP/Text Mining, Information Retrieval, Database and Semantic Web are being integrated into, and discuss what roles the NLP and Text Mining can play in this emerging new field.

Junichi Tsujii Principal Researcher of Microsoft Research Asia (MSRA). Before joining MSRA (May, 2011), he was Professor of Natural Language Processing in the Department of Computer Science, University of Tokyo and Professor of Text Mining in School of Computer Science, University of Manchester, U.K. . He remains to be scientific advisor of the UK National Centre for Text Mining (NaCTeM) as well as visiting professor of University of Manchester. He has worked since 1973 in Natural Language Processing, Question Answering, Text Mining and Machine Translation. He has received a number of awards such as the IBM Science Award (1989), SEYMF Visiting Professorship (2000), Daiwa-Adrian Prize (2004), IBM Faculty Award (2005) and Achievement Award of Japan Society for Artificial Intelligence (2008), Fellow of Information Processing Society Japan (2010) and the Medal of Honor with Purple Ribbons (2010). He was President of ACL (Association for Computational Linguistics, 2006) President of IAMT (International Association for Machine Translation (2002-2004), and President of AFNLP (Asian Association for Natural Language Processing, 2007). He is Permanent member of ICCL (International Committee for Computational Linguistics, 1992-), Member of the advisory board of Institute of Information Science, Academia Sinica in Taiwan (2011-), Member of SIG:MA (Scientific Innovation Group: Mentors and Advisors), Elsevier Inc. (2012-), etc.


Tuesday, December 4
9:00 - 9:50 (Noh theatre) [Chair: Hideaki Takeda]
Transforming Education with Linked Data
Tom Heath
, Talis Education Limited, UK

Abstract. The explosive growth of both the Web and mobile computing have created unprecedented opportunities for connectivity between people, whether for social or professional reasons. The corresponding evolution of the Web into a global platform for data sharing provides a blueprint for creating similar levels of connectivity between data as between people. When combined, these trends have transformative potential in domains as broad as commerce, science, health and education. In this talk I will present Talis Aspire, a platform that connects university students with the resources they need to be effective in their learning. By applying Linked Data principles to this rich data set we create a broader 'education graph', able to inform learning provision and provide a radically new degree of connectivity in education.

Dr. Tom Heath is currently Senior Research Scientist at Talis Education Limited (Birmingham, United Kingdom), a global leader in the application of Linked Data principles to learning and teaching. He obtained his PhD in 2008 from The Open University, United Kingdom, for a thesis exploring recommendation-seeking and trust in social networks. His current research interests include Linked Data, Semantic Web, Educational and Learning Technologies, and graph-based systems. Dr. Heath has published widely in the area of Linked Data and the Semantic Web, is very active in the Semantic Web research community, and has chaired numerous workshops and tracks at international conferences, e.g. Industry Track of 11th International Semantic Web Conference (ISWC2012), Semantic Web In-use Track of 8th International Semantic Web Conference (ISWC2009), and the International Workshop on Linked Data on the Web (LDOW).


Tuesday, December 4
14:00 - 14:50 (Noh theatre) [Chair: Riiciro Mizoguchi]
Building Cross Lingual Knowledge Graph for Global Knowledge Sharing
Juanzi Li
, Tsinghua University, China

Abstract. Structural knowledge enables many efficient, effective, and flexible applications both in business intelligence and public knowledge services. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to knowledge distributed on the Web, but automatically acquiring cross lingual structured knowledge on the web is a difficult and challenging problem. This talk will describe a framework for building cross lingual knowledge graph by combining ontology matching, knowledge extraction and machine learning. We will propose some of key issues in this framework and present our current work containing cross lingual knowledge linking, cross lingual knowledge extraction and their related system.

Bio. Juanzi Li is a full professor and the deputy director of institute of software at the Department of Computer Science and Technology, Tsinghua University, China. She is the vice director of Chinese Information Processing Society at China Computer Federation(CCF) and the member of National Technical Committee on Chinese Press Information Technology of Standardization Administration of China. She got her Ph.D from Tsinghua University in 2000. Prof. Li’s main research interest is to study the semantic technologies by combining the key technologies of Natural Language Processing, Semantic Web and Data Mining. She has published about 90 papers in many international journals and conferences such as WWW, TKDE, SIGIR, SIGMOD, SIGKDD, ISWC, JoWS et al. She took the important role in defining Chinese News Markup Language (CNML), and developed CNML specification management system, in which she has received the awards of the "Wang Xuan" News Science and Technology in 2011 and 2009 respectively.


Contact: jist2012@ei.sanken.osaka-u.ac.jp