=Paper=
{{Paper
|id=Vol-1699/preface
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1699/LD4IE2016_frontmatter.pdf
|volume=Vol-1699
}}
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Preface This volume contains the papers presented at LD4IE2016: Linked Data for In- formation Extraction held on October 18th, 2016 in Kobe, Japan, in conjunction with the 15th International Semantic Web Conference (ISWC2016). Additional details on the LD4IE workshop series can be found at https: //w3id.org/ld4ie. The workshop this year features 3 full papers, 1 positional paper and 2 expert highlights papers. ”Expert highlights”, a novelty that we introduced this year at the workshop, are papers by researchers with established track record on specific and critical topics in the field on Information Extraction. Specifically, Saif et al. address the topic of extracting and analysing sentiment from social media contents, while Mazumdar and Zhang report novel findings about visualization techniques for Information Extraction, specifically dealing with extraction from Web tables. The invited speaker for LD4IE2016 is Dr. Valentina Presutti, a researcher and team coordinator at the Semantic Technology Laboratory of the National Research Council (CNR) in Rome and Catania. She has more than ten years of experience in managing research and development projects in domains such as open data, data integration, knowledge extraction, content and knowledge management, natural language understanding, and ICT for eHealth. Her talk at LD4IE2014 is titled ”Knowledge Extraction and Linked Data: Playing with Frames”. October 3, 2016 Anna Lisa Gentile Mannheim Table of Contents Knowledge Extraction and Linked Data: Playing with Frames . . . . . . . . . . 1 Valentina Presutti A Tool for Creating and Visualizing Semantic Annotations on Relational Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Suvodeep Mazumdar and Ziqi Zhang A Linked Open Data Approach for Sentiment Lexicon Adaptation . . . . . . 11 Hassan Saif, Miriam Fernandez, Leon Kastler and Harith Alani Word Frame Disambiguation: Evaluating Linguistic Linked Data on Frame Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Aldo Gangemi, Mehwish Alam and Valentina Presutti Multilingual Dictionary Linking and Aggregation: Quality from Consistency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Kun Ji, Shanshan Wang and Lauri Carlson Freedom for bibliographic references: OpenCitations arise . . . . . . . . . . . . . . 44 Silvio Peroni, David Shotton and Fabio Vitali Enhancing Open Data to Linked Open Data with ODMiner . . . . . . . . . . . . 56 Francesco Poggi, Gabriele Cigna and Andrea Giovanni Nuzzolese Program Committee Nitish Aggarwal Insight-Centre NUI Galway Payam Barnaghi University of Surrey Pierpaolo Basile Dipartimento di Informatica - University of Bari Amparo E. Cano Knowledge Media Institute, The Open University Claudia D’Amato University of Bari Brian Davis Insight Centre for Data Analytics, Galway Ernesto William De Luca Georg-Eckert-Institute – Leibniz-Institute for inter- national Textbook Research Anca Dumitrache VU University Amsterdam Miriam Fernandez Knowledge Media Institute Anna Lisa Gentile University of Mannheim Katja Hose Aalborg University Ashutosh Jadhav IBM Craig Knoblock University of Southern California Petr Knoth Knowledge Media institute Tobias Kuhn VU University Amsterdam Andrea Moro Microsoft Varish Mulwad University of Maryland, Baltimore County Matthias Nickles National University of Ireland, Galway, Digital En- terprise Research Institute Andrea Giovanni Nuzzolese STLab, ISTC-CNR Heiko Paulheim University of Mannheim Simone Paolo Ponzetto University of Mannheim Jay Pujara University of Maryland Will Radford Hugo Australia Achim Rettinger AIFB Martin Riedl TU Darmstadt Giuseppe Rizzo ISMB Tim Rocktäschel University College London Jodi Schneider University of Pittsburgh Monika Solanki University of Oxford Victoria Uren Aston University Ziqi Zhang University of Sheffield