Post-proceedings of this workshop will be published by Springer in LNCS similar to the main conference.

######################################## The KÉKI Workshop 2016 - Uses of Linguistic Linked Open Data http://keki2016.linguistic-lod.org/

in Kobe, Japan on October 17th or 18th 2016 (to be fixed soon) with a keynote by Yohei Murakami, Kyoto University The KÉKI Workshop will be held at the 15th International Semantic Web Conference (ISWC) http://iswc2016.semanticweb.org/

Important Dates (11:59 pm, Hawaii time) * Paper Submission Deadline: July 1st, 2016 NOTE: Individual extensions can be requested, by writing tokeki2016@linguistic-lod.org * Notification of Acceptance: August 7th, 2016 * Pre-workshop paper: September 1st, 2016 * Workshop at ISWC October 17th or 18th, 2016 * Camera-ready for post-proceedings November 18th, 2016

Post-proceedings will be published in Springer LNCS. Submissions via Easychair:https://easychair.org/conferences/?conf=kki2016 ########################################

Introduction What kind of smart applications can we build, if we were able to integrate all available knowledge, data and language resources in a meaningful way? In order to realize the dream of artificial intelligence, it is necessary to focus on knowledge engineering to build information machines that enable humans to perform more efficiently in their tasks. To achieve this goal, we believe the following two prerequisites must be met: * Knowledge and data must be rendered in a discoverable way and then transformed, linked, enriched and integrated homogeneously in a huge semantic knowledge graph * Language technologies must first be leveraged in order to understand, categorize and structure available textual content in all its forms. Then, language technology must assist in building adequate interfaces that allow humans to interact effectively with data and information via discovery, querying and reorganization. Research in this workshop focuses on contextualising data and ontologies as well as capturing deep linguistic knowledge to improve machine understanding.

Purpose and scope Some international initiatives such as the LIDER European project (www.lider-project.eu http://www.lider-project.eu ) and the W3C OntoLex, BPMLOD, and LD4LT community groups, as well as the Open Knowledge Foundation (OKFN) Working Group for Open Data in Linguistics (OWLG), have promoted an ecosystem of linguistic linked open data (LLOD) One of the main motivations of this workshop is to move the LLOD cloud to its next phase in which innovative applications will be developed overcoming the language barriers on the Web.

The KÉKI workshop is targeted at anyone interested in Semantic Web, Linguistics and Natural Language Processing technologies and we are especially welcoming submissions focussing on either domain topics or technological topics or both.

Domain Topics * Data related to Linguistics and NLP: ** language resource such as, but not limited to: corpora, treebanks, dictionaries and lexicographical resources * Linguistic and NLP Ontologies ** proposals for novel models or extension of existing models such as lemon, NIF, POWLA, MARL, NERD * Linguistic linked open data ** metadata, license issues, indexes, collections, repositories, workflows that deal with Linguistic LOD as a whole * Web services and tools ingesting or producing linguistic linked data and annotations

Technological Topics

* Knowledge Integration ** Vocabularies and Models for integrating resources (and Ontology Engineering) ** Dataset metrics and quality assessment ** Query federation and question answering ** Metadata for linked data knowledge ** Discoverability of data

* Knowledge Extraction ** NLP techniques for knowledge extraction and machine reading ** Information extraction and ontology learning ** Pattern recognition and extraction for IE ** Resources and use cases ** Approaches using mappings and their maintenance from structured sources (RDB, XML, JSON), from semistructured sources (XHTML), from unstructured sources (Text)

Submission Guidelines ________________

We invite submissions in the form of regular long and short papers.

All workshop papers must represent original and unpublished work that is not currently under review. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop. At least one author of each accepted paper is expected to attend the workshop upon acceptance. Submission is single-blind, i.e. author names are visible, only reviewers stay anonymous. All papers should follow the LNCS guidelines for formatting and must not exceed 16 pages in length for long papers and 12 pages for short papers including references and excluding appendices. The layout templates are available for download from the Springer website at https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 which also contains MS Office/Word instructions. The file format for submissions is Adobe Portable Document Format (PDF). Other formats will not be accepted. We have applied jointly together with the NLP & DBpedia Workshop for publication in the Lecture Notes in Computer Science Series (LNCS) by Springer and are currently under review. Submissions must be uploaded electronically by the submission deadline July 1st 2016 through EasyChair at:https://easychair.org/conferences/?conf=kki2016 For any inquiries regarding the submission process or the workshop in general, please send an email to our public mailing list at keki2016@linguistic-lod.org mailto:keki2016@linguistic-lod.org.

We are looking forward for meeting you at KÉKI 2016!

Workshop Organizers and Contact ________________

* Sebastian Hellmann (AKSW/KILT, Universität Leipzig, Germany) * John McCrae (Insight Center @ NUI Galway, Ireland) * Seiji Koide (Transdisciplinary Research Integration Center and National Institute of Informatics, Tokyo, Japan) * Key-Sun Choi (KAIST, Daejeon, South Korea) * Jorge Gracia (Ontology Engineering Group, Universidad Politécnica de Madrid, Spain) * Hideaki Takeda (National Institute of Informatics, Tokyo, Japan) * Yoshihiko Hayashi (Waseda University, Tokyo, Japan)

Support Committee: * Niko Schenk (Goethe University, Frankfurt am Main, Germany) * Christian Chiarcos (Goethe University, Frankfurt am Main, Germany) * Ciro Baron (AKSW/KILT, Universität Leipzig, Germany) * Kay Müller (AKSW/KILT, Universität Leipzig, Germany)

Program Committee ________________

* Agata Filipowska, Poznan University, Poland * Andreas Niekler, ASV, Leipzig University, Germany * Bettina Klimek, Leipzig University AKSW, Germany * Carmen Brando, Institut National de L'Infromation Géographique et Forestière, France * Christina Unger, University Bielefeld, Germany * Dimitris Kontokostas, Leipzig University AKSW, Germany * Dongpo Deng, Institute of Information Science, Academia Sinica, Taiwan * Eveline Wandl-Vogt, Austrian Academy of Sciense, Austria * Felix Sasaki, DFKI/W3C, Germany * Francesca Frontini, Consiglio Nazionale delle Ricerche, Italy * Georgeta Bordea, Insight Centre for Data Analytics, NUI Galway, Ireland * Haofen Wang, East China University of Science and Technology, China * Luis Morgado Da Costa, Nanyang Technical University, Singapore * Mariano Rico, Universidad Politécnica de Madrid, Spain * Marieke Van Erp, VU Amsterdam, The Netherlands * Marta Villegas, Universitat Autònoma de Barcelona, Spain * Masaharu Yoshioka, Hokkaido University, Japan * Michael Schuhmacher, Mannheim University, Germany * Monica Monachini, Consiglio Nazionale delle Ricerche, Italy * Naoaki Okazaki, Tohoku University, Japan * Paul Buitelaar, Insight Centre for Data Analytics, NUI Galway, Ireland * Philipp Cimiano, University Bielefeld, Germany * Ricardo Usbeck, Leipzig University AKSW, Germany * Richard Eckart de Castilho, Technische Universität Darmstadt, Germany * Sören Auer, University of Bonn, Germany * Steven Moran, University Zürich, Switzerland * Thierry Declerck, DFKI, Germany * Ulli Waltinger, Siemens AG, Germany * Víctor Rodriguez-Doncel, Universidad Politécnica de Madrid, Spain * Wim Peters, University of Sheffield, UK * Yohei Murakami, Kyoto University, Japan