The Semantic Web – ISWC 2018

1. Front Matter

   Pages I-XLI

   PDF

2. Research Track

   1. Front Matter

      Pages 1-1

      PDF

   2. Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion

      • Christian Meilicke, Manuel Fink, Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Heiner Stuckenschmidt

      Pages 3-20

   3. Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning

      • Matthias Baumgartner, Wen Zhang, Bibek Paudel, Daniele Dell’Aglio, Huajun Chen, Abraham Bernstein

      Pages 21-37

   4. Inducing Implicit Relations from Text Using Distantly Supervised Deep Nets

      • Michael Glass, Alfio Gliozzo, Oktie Hassanzadeh, Nandana Mihindukulasooriya, Gaetano Rossiello

      Pages 38-55

   5. Towards Encoding Time in Text-Based Entity Embeddings

      • Federico Bianchi, Matteo Palmonari, Debora Nozza

      Pages 56-71

   6. Rule Learning from Knowledge Graphs Guided by Embedding Models

      • Vinh Thinh Ho, Daria Stepanova, Mohamed H. Gad-Elrab, Evgeny Kharlamov, Gerhard Weikum

      Pages 72-90

   7. A Novel Ensemble Method for Named Entity Recognition and Disambiguation Based on Neural Network

      • Lorenzo Canale, Pasquale Lisena, Raphaël Troncy

      Pages 91-107

   8. EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs

      • Mohnish Dubey, Debayan Banerjee, Debanjan Chaudhuri, Jens Lehmann

      Pages 108-126

   9. TSE-NER: An Iterative Approach for Long-Tail Entity Extraction in Scientific Publications

      • Sepideh Mesbah, Christoph Lofi, Manuel Valle Torre, Alessandro Bozzon, Geert-Jan Houben

      Pages 127-143

   10. An Ontology-Driven Probabilistic Soft Logic Approach to Improve NLP Entity Annotations

       • Marco Rospocher

       Pages 144-161

   11. Ontology Driven Extraction of Research Processes

       • Vayianos Pertsas, Panos Constantopoulos, Ion Androutsopoulos

       Pages 162-178

   12. Enriching Knowledge Bases with Counting Quantifiers

       • Paramita Mirza, Simon Razniewski, Fariz Darari, Gerhard Weikum

       Pages 179-197

   13. QA4IE: A Question Answering Based Framework for Information Extraction

       • Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong et al.

       Pages 198-216

   14. Constructing a Recipe Web from Historical Newspapers

       • Marieke van Erp, Melvin Wevers, Hugo Huurdeman

       Pages 217-232

   15. Structured Event Entity Resolution in Humanitarian Domains

       • Mayank Kejriwal, Jing Peng, Haotian Zhang, Pedro Szekely

       Pages 233-249

   16. That’s Interesting, Tell Me More! Finding Descriptive Support Passages for Knowledge Graph Relationships

       • Sumit Bhatia, Purusharth Dwivedi, Avneet Kaur

       Pages 250-267

   17. Exploring RDFS KBs Using Summaries

       • Georgia Troullinou, Haridimos Kondylakis, Kostas Stefanidis, Dimitris Plexousakis

       Pages 268-284

   18. What Is the Cube Root of 27? Question Answering Over CodeOntology

       • Mattia Atzeni, Maurizio Atzori

       Pages 285-300

   19. GraFa: Scalable Faceted Browsing for RDF Graphs

       • José Moreno-Vega, Aidan Hogan

       Pages 301-317

The two-volume set LNCS 11136 and 11137 constitutes the refereed proceedings of the 17th International Semantic Web Conference, ISWC 2018, held in Monterey, USA, in October 2018. The ISWC conference is the premier international forum for the Semantic Web / Linked Data Community. The total of 62 full papers included in this volume was selected from 250 submissions. The conference is organized in three tracks: for the Research Track 39 full papers were selected from 164 submissions. The Resource Track contains 17 full papers, selected from 55 submissions; and the In-Use track features 6 full papers which were selected from 31 submissions to this track.

• artificial intelligence
• data mining
• integration
• language
• linked data
• machine learning
• named entities
• Natural Language Processing (NLP)
• ontologies
• query languages
• query processing
• search engines
• semantic technologies
• semantic web
• semantics
• web services

• Google, San Francisco, USA

  Denny Vrandečić

• University of Sheffield, Sheffield, UK

  Kalina Bontcheva

• Universidad Politécnica de Madrid (UPM), Madrid, Spain

  Mari Carmen Suárez-Figueroa

• National Research Council, Rome, Italy

  Valentina Presutti

• Cefriel - Politecnico di Milano, Milan, Italy

  Irene Celino

• TU Wien, Vienna, Austria

  Marta Sabou

• University of Southampton, Southampton, UK

  Lucie-Aimée Kaffee, Elena Simperl

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