- From: John McCrae <john@mccr.ae>
- Date: Thu, 12 Jan 2017 11:39:43 +0000
- To: undisclosed-recipients:;
- Message-ID: <CAC5njqonzG2Ps=Qa=ZrxDmjvTM8QcSERffdb5kRTCXBZKr7Rww@mail.gmail.com>
Apologies for cross-posting Proceedings now in Springer Lecture Notes in Artificial Intelligence and deadline extended 1st International Conference on Language, Data and Knowledge (LDK 2017) http://www.ldk2017.org/ The new biennial conference series on Language, Data and Knowledge (LDK) aims at bringing together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications. With the advent of the Web and digital technologies, an ever increasing amount of language data is now available across application areas and industry sectors, including social media, digital archives, company records, etc. The efficient and meaningful exploitation of this data in scientific and commercial innovation is at the core of data science research, employing NLP and machine learning methods as well as semantic technologies based on knowledge graphs. Language data is of increasing importance to machine learning-based approaches in NLP, Linked Data and Semantic Web research and applications that depend on linguistic and semantic annotation with lexical, terminological and ontological resources, manual alignment across language or other human-assigned labels. The acquisition, provenance, representation, maintenance, usability, quality as well as legal, organizational and infrastructure aspects of language data are therefore rapidly becoming major areas of research that are at the focus of the conference. Knowledge graphs is an active field of research concerned with the extraction, integration, maintenance and use of semantic representations of language data in combination with semantically or otherwise structured data, numerical data and multimodal data among others. Knowledge graph research builds on the exploitation and extension of lexical, terminological and ontological resources, information and knowledge extraction, entity linking, ontology learning, ontology alignment, semantic text similarity, Linked Data and other Semantic Web technologies. The construction and use of knowledge graphs from language data, possibly and ideally in the context of other types of data, is a further specific focus of the conference. A further focus of the conference is the combined use and exploitation of language data and knowledge graphs in data science-based approaches to use cases in industry, including biomedical applications, as well as use cases in humanities and social sciences. The LDK conference has been initiated by a consortium of researchers from the Insight Centre for Data Analytics, InfAI (University Leipzig) and Wolfgang Goethe University and a Scientific Committee of leading researchers in Natural Language Processing, Linked Data and Semantic Web, Language Resources and Digital Humanities. LDK is endorsed by several international organisations: DBpedia, ACL SIGANN, Global Wordnet Association, CLARIN and Big Data Value Association (BDVA). The first edition, LDK 2017, will be held in Galway (Ireland) with a second edition planned for 2019 in Leipzig (Germany). Important Dates 16 February 2017 Paper submission 30 March 2017 Notification 20 April 2017 Camera-ready submission 19-20 June 2017 Conference Paper submission We welcome submission of relevance to the topics listed below. Submissions can be in the form of long or short research papers, scientific abstracts on use cases or position papers. Accepted submissions will be published in a conference proceedings volume by Springer Lecture Notes in Artificial Intelligence, and will be selected for presentation as oral or poster presentation based on recommendations of reviewers (this choice does not reflect the quality of the work). All papers should follow the LNCS guidelines for formatting and should be 10-15 pages in length for long papers and 6-8 pages for short papers, including references and optional appendices. Position papers and short abstracts should be 4-6 pages in length. The layout templates are available for download from the Springer website at: https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0. Papers should be submitted to EasyChair at the following address: https://easychair.org/conferences/?conf=ldk2017 Proceedings will be published as a volume in the Springer Lecture Notes in Artificial Intelligence (LNAI) series. Topics Language Data - Language data portals - Language data construction and acquisition - Language data annotation, storage or management - Crowdsourcing of language data - Metadata about language data - Multilingual, multimedia and multimodal language data - Evaluation, provenance and quality of language data - Usability, validation and visualization of language data - Organizational and infrastructural management of language data - Standards and interoperability of language data - Legal aspects of publishing language data - Typological databases - Under-resourced languages Knowledge Graphs - Ontologies, terminology, wordnets and lexical resources - Information and knowledge extraction (taxonomy extraction, ontology learning) - Data, information and knowledge integration across languages - (Cross-lingual) Ontology Alignment - Semantic text similarity - Entity linking and relatedness - Linked Data profiling - Linguistic Linked Data - Multilingual Linked Data and multilingual Web of Data - Knowledge representation and reasoning on the Multilingual Semantic Web Applications in NLP - Semantic search - Semantic content management - Question answering - Computer-aided Language Learning - Text analytics for Internet of Things - Multilingual Internet of Things - Applying big data to text analytics - Natural language interfaces to (big) data Use Cases in Digital Humanities, Social Sciences, BioNLP - Applications in Digital Humanities such as distant reading - Analysis, enrichment of text archives - Text mining for Social Science research - Text mining from biomedical literature Organizing Committee Paul Buitelaar (Insight Centre for Data Analytics, NUI Galway, Ireland) Christian Chiarcos (Wolfgang Goethe University, Frankfurt, Germany) Sebastian Hellmann (InfAI, University of Leipzig, Germany) John P. McCrae (Insight Centre for Data Analytics, NUI Galway, Ireland) Program Chairs Francis Bond (Nanyang Technological University, Singapore) Jorge Gracia (Universidad Politécnica de Madrid, Spain) Local organisers at the Insight Centre for Data Analytics, NUI Galway, Ireland John McCrae, Paul Buitelaar, Brian Davis, Cécile Robin, Mihael Arčan, Housam Ziad Scientific Advisory Committee - Pushpak Bhattacharyya - IIT Bombay, India - Francis Bond - Nanyang Technological University, Singapore - Key-Sun Choi - KAIST, South-Korea - Philipp Cimiano - Bielefeld University, Germany - Edward Curry - Insight Centre for Data Analytics, NUI Galway, Ireland - Franciska de Jong - Utrecht University / CLARIN ERIC, the Netherlands - Thierry Declerck - DFKI GmbH / Saarland University, Germany - Tatjana Gornostaja - Tilde, Latvia - Jorge Gracia - Universidad Politécnica de Madrid, Spain - Nancy Ide - Vassar College, USA - Eric Nyberg - Carnegie Mellon University, USA - Felix Sasaki - DFKI GmbH / W3C, Germany - Karin Verspoor - University of Melbourne, Australia Program Committee Agata Filipowska, Poznan University of Economics, Poland Agata Savary, University of Tours, France Alexandre Rademaker, IBM, Brazil Alexis Dimitriadis, Universiteit Utrecht, The Netherlands Andre Freitas, University of Passau, Germany Andrea Moro, Microsoft, UK Andrea Schalley, Griffith University, Australia Armando Stellato, University of Rome, Tor Vergata, Italy Axel Polleres, Vienna University of Economics and Business, Austria Bettina Klimek, Leipzig University AKSW, Germany Brian Davis, Insight Centre for Data Analytics, NUI Galway, Ireland Carmen Brando, Institut National de L'Information Géographique et Forestière, France Caroline Barrière, Computer Research Institute of Montreal, Canada Clement Jonquet, University of Montpellier, France Cristina Vertan, University of Hamburg, Germany Dagmar Gromann, IIIA-CSIC, Barcelona, Spain Damir Cavar, Indiana University, USA Dimitris Kontokostas, Leipzig University AKSW, Germany Dongpo Deng, Institute of Information Science, Academia Sinica, Taiwan Edward Curry, Insight Centre for Data Analytics, NUI Galway, Ireland Elena González-Blanco García, Universidad Nacional de Educación a Distancia, Madrid, Spain Elena Montiel, Universidad Politécnica de Madrid, Spain Eric Nyberg, Carnegie Mellon University, USA Eveline Wandl-Vogt, Austrian Academy of Science, Austria Fahad Khan, ILC-CNR, Italy Felix Sasaki, DFKI GmbH, W3C Fellow, Germany Francesca Frontini, Université Paul Valéry Montpellier, France Francis Bond, Nanyang Technological University, Singapore Franciska de Jong, Utrecht University, the Netherlands Gerard de Melo, Rutgers University, USA Gilles Sérasset, University Grenobles Alpes, France Graeme Hirst, University of Toronto, Canada Guadalupe Aguado, Universidad Politécnica de Madrid, Spain Haofen Wang, East China University of Science and Technology, China Harald Sack, FIZ Karlsruhe, Leibniz Center for Information Infrastructure, Germany Hatem Mousselly Sergieh, Darmstadt University, Germany Heiko Paulheim, University of Mannheim, Germany Hideaki Takeda, National Institute of Informatics, Japan Hitoshi Isahara, Toyohashi University of Technology, Japan Jeff Good, University at Buffalo, USA Jorge Gracia, Universidad Politécnica de Madrid, Spain Karin Verspoor, University of Melbourne, Australia Kevin B. Cohen, University of Colorado School of Medicine, USA Key-Sun Choi, KAIST, South Korea Kiril Simov, Bulgarian Academy of Sciences, Sofia, Bulgaria Krzysztof Wecel, Poznan University of Economics, Poland Laurette Pretorius, UNISA, South Africa Luis Morgado Da Costa, Nanyang Technical University, Singapore Maciej Piasecki, Wroclaw University of Technology, Poland Marc Verhagen, Brandeis University, USA Mariano Rico, Universidad Politécnica de Madrid, Spain Marieke van Erp, Vrije Universiteit Amsterdam, the Netherlands Marko Tadić, University of Zagreb, Croatia Marta Villegas, Universitat Autònoma de Barcelona, Spain Martin Riedl, University of Darmstadt, Germany Masaharu Yoshioka, Hokkaido University, Japan Milena Slavcheva, JRC-Brussels, Belgium Monica Monachini, Consiglio Nazionale delle Ricerche, Italy Nancy Ide, Vassar College, USA Nicoletta Calzolari, ILC-CNR, Italy Nils Reiter, University of Stuttgart, Germany Nitish Aggarwal, IBM Watson, USA Núria Bel, Universitat Pompeu Fabra, Spain Petya Osenova, Bulgarian Academy of Sciences, Sofia, Bulgaria Philipp Cimiano, Bielefeld University, Germany Piek Vossen, Vrije Universiteit Amsterdam, The Netherlands Pushpak Bhattacharyya, IITP, India Ricardo Usbeck, Leipzig University AKSW, Germany Richard Eckart de Castilho, Technische Universität Darmstadt, Germany Roberto Navigli, University of Rome, “La Sapienza”, Italy Roman Klinger, University of Stuttgart, Germany Sabine Schulte im Walde, University of Stuttgart, Germany Sebastian Walter, Bielefeld University, Germany Seiji Koide, Ontolonomy/National Institute of Informatics, Japan Simone Ponzetto, University of Mannheim, Germany Steve Cassidy, Macquarie University, Australia Steven Moran, University Zürich, Switzerland Sören Auer, University of Bonn, Germany Tatjana Gornostaja, Tilde, Latvia Thierry Declerck, DFKI GmbH, Saarland University, Germany Ulli Waltinger, Siemens AG, Germany Vanessa Lopez, IBM Europe, Ireland Víctor Rodríguez-Doncel, Universidad Politécnica de Madrid, Spain Yohei Murakami, Kyoto University, Japan Yoshihiko Hayashi, Waseda University, Japan
Received on Thursday, 12 January 2017 11:40:21 UTC