Conference Program

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1 – Jérôme Lang : Incomplete Knowledge and Collective Decision Making. Chair: Amedeo Napoli
2 – Andrea Tettamanzi : Guess What You Don’t Know: Towards an Evolutionary Epistemology of Ontology Learning. Chair: Catherine Faron Zucker
3 – Simone Ponzetto : Entity-centric information access for high-end semantitc applications. Chair: Chiara Ghidini
4 – Marie-Francine Moens : The Discovery of Spatial Knowledge from Images and Language. Chair: Yannick Toussaint


1 – Catching up with ontological engineering: to git-commit and beyond
2 – Learning from knowledge graphs


1 – Symbolic methods for data-interlinking


(short) indicates short presentations (≈15 min)

Session 1 : Alignments and Graph Partitioning

Chair: Jérôme Euzenat

1.1 – Adnan Akhter, Axel-Cyrille Ngonga Ngomo and Muhammad Saleem : An Empirical Evaluation of RDF Graph Partitioning Techniques
1.2 (short) – Philippe Roussille, Imen Megdiche, Teste Olivier and Cassia Trojahn : Boosting Holistic Ontology Matching: an Extended Linear Approach and its Evaluation on Graph Clique-based Relaxed /Reference Alignments

Session 2 : Knowledge Engineering

Chair: Maria Keet

2.1 – Claudia Schon, Steffen Staab, Patricia Kügler, Philipp Kestel, Benjamin Schleich and Sandro Wartzack : Metaproperty-guided Deletion from the Instance-Level of a Knowledge Base
2.2 – Ankur Padia, David Martin and Peter Patel-Schneider : Automating Class / Instance Representational Choices in Knowledge Bases
2.3 – Alba Fernández-Izquierdo and Raúl García-Castro : Requirements behaviour analysis for ontology testing
2.4 – Catia Pesquita, Valentina Ivanova, Steffen Lohmann and Patrick Lambrix : A Framework to Conduct and Report on Empirical User Studies in Semantic Web

Session 3 : Network and Knowledge Graphs

Chair: Harald Sack

3.1 – Andreas Schmidt and Gerd Stumme : Prominence and Dominance in Networks
3.2 – Hajira Jabeen, Rajjat Dadwal, Gezim Sejdiu and Jens Lehmann : Numeric outlier detection in large scale knowledge graphs
3.3 – Al Koudous Idrissou, Frank Van Harmelen and Peter Van Den Besselaar : Network Metrics for Assessing the Quality of Entity Resolution Between Multiple Datasets
3.4 – Pablo Torres-Tramon and Conor Hayes : A Random Walk Model for Entity Relatedness
3.5 – Gengchen Mai, Krzysztof Janowicz and Bo Yan : Support and Centrality: Learning Weights for Knowledge Graph Embedding Models

Session 4 : Knowledge Discovery #1

Chair: Valentina Tamma

4.1 – Mariano Rico, Idafen Santana-Pérez, Pedro Pozo-Jiménez and Asunción Gómez-Pérez : Inferring New Types on Large Datasets Applying Ontology Class Hierarchy Classifiers: The DBpedia Case
4.2 – Nicole Merkle, Stefan Zander and Viliam Simko : A Semantic Use Case Simulation Framework for Training Machine Learning Algorithms
4.3 – Ahmad Alobaid and Oscar Corcho : Fuzzy Semantic Labeling of Semi-structured Numerical Data Sources
4.4 (short) – Emilia Kacprzak, Jose M. Gimenez-Garcia, Alessandro Piscopo, Laura Koesten, Luis Ibanez-Gonzalez, Jeni Tennison and Elena Simperl : Making Sense of Numerical Data – Semantic Labelling of Web Tables

Session 5 : Knowledge Discovery #2

Chair: Irene Celino

5.1 – Badre Belabbess, Musab Bairat, Jeremy Lhez and Olivier Curé : Combining Machine Learning and Semantics for Anomaly Detection
5.2 – René Speck and Axel-Cyrille Ngonga Ngomo : On Extracting Relations using Distributional Semantics and a Tree Generalization
5.3 – Mouna Kamel and Cassia Trojahn : Towards Enriching DBpedia from Vertical Enumerative Structures using a Distant Learning Approach

Session 6 : Applications

Chair: Catia Pesquita

6.1 – Iker Esnaola-Gonzalez, Jesús Bermúdez, Izaskun Fernández and Aitor Arnaiz : EROSO: Semantic Technologies towards thermal comfort in workplaces
6.2 – Viviane Maria Lelis, Eduardo Guzmán and Maria-Victoria Belmonte : Decision Support Models to Assist in the Diagnosis of Meningitis
6.3 – Giuseppe Rizzo, Nicola Fanizzi, Claudia d’Amato and Floriana Esposito : A Framework for Tackling Myopia in Concept Learning on the Web of Data
6.4 (short) – Najmeh Mousavi Nejad, Simon Scerri and Jens Lehmann : KnIGHT: Mapping Privacy Policies to GDPR
6.5 (short) – Gloria Re Calegari and Irene Celino : Interplay of Game Incentives, Player Profiles and Task Difficulty in Games with a Purpose

Session 7 : Knowledge Representation and Reasoning

Chair: Béatrice Fuchs

7.1 – Maxime Clement and Ryutaro Ichise : SWRL Reasoning with Decision Tables
7.2 -Nicola Fanizzi, Giuseppe Rizzo, Claudia d’Amato and Floriana Esposito : DL-Foil: Class Expression Revisited
7.3 – Veronique Malaise, Anke Otten and Pascal Coupet : OmniScience and Extensions – Lessons Learned from Designing a Multi Domain, Multi-Use Case Knowledge Representation System
7.4 – Federico Croce and Maurizio Lenzerini : Explaining Query Answers in DL-Lite
7.5 – Diego Calvanese, Tahir Emre Kalayci, Marco Montali, Ario Santoso and Wil van der Aalst : Conceptual Schema Transformation in Ontology-based Data Access

Session 8 : Knowledge Discovery #3

Chair: Giuseppe Rizzo

8.1 – Marieke van Erp, Jesse de Does, Katrien Depuydt, Rob Lenders and Thomas van Goethem : Slicing and Dicing a Newspaper Corpus for Historical Ecology Research
8.2 – Béatrice Fuchs and Amélie Cordier : Interactive Interpretation of serial episodes
8.3 (short) – Alessia Calafiore, Guido Boella and Leendert van der Torre : From Georeferenced Data to Socio-spatial Knowledge. Ontology Design Patterns to discover Domain-specific Knowledge from Crowdsourced Data

Session 9 : Queries and SPARQL

Chair: Miguel Couceiro

9.1 – Patrik Schneider, Thomas Eiter, Josiane Xavier Parreira, Lihua Zhao and Ryutaro Ichise : Deploying Spatial-Stream Query Answering to C-ITS Scenarios
9.2 – Weicong Ma, C. Maria Keet, Wayne Oldford, David Toman and Grant Weddell : The Utility of the Abstract Relational Model and Attribute Paths in SQL
9.3 – Riccardo Tommasini, Pieter Bonte, Emanuele Della Valle, Filip De Turck and Femke Ongenae : A Query Model for Ontology-Based Event Processing over RDF Streams
9.4 – Peter Patel-Schneider, Axel Polleres and David Martin : Comparative Preferences in SPARQL
9.5 – Paul Warren and Paul Mulholland : Using SPARQL – the practitioners’ viewpoint

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