Prof. Dr. Heiko Paulheim,
Data and Web Science Group
University of Mannheim, Germany

Towards Knowledge Graph Profiling

Knowledge Graphs, such as DBpedia, YAGO, or Wikidata, are valuable resources for building intelligent applications like data analytics tools or recommender systems. Understanding what is in those knowledge graphs is a crucial prerequisite for selecing a Knowledge Graph for a task at hand. Hence, Knowledge Graph profiling – i.e., quantifying the structure and contents of knowledge graphs, as well as their differences – is essential for fully utilizing the power of Knowledge Graphs. In this talk, I will talk about methods for Knowledge Graph profiling, discuss crucial differences of the big, well-known Knowledge Graphs, and throw a glance at current developments of new, complementary Knowledge Graphs such as WebIsALOD and DBkWik.


Proceedings of PROFILES 2017 are available at CEUR, Vol 1927



14:00 – 14:05 Opening

14:05 –  15:30 Session 1: Knowledge Graphs and Knowledge Extraction

14:05 – 15:10 Keynote “Towards Knowledge Graph Profiling” by Heiko Paulheim

15:10 – 15:30 “Temporal Knowledge Extraction for Dataset Discovery” (full paper) Lama Saeeda and Petr Křemen

15:30 – 16:00 Coffee break

16:00 – 17:35 Session 2: Vocabularies, Interlinking and Queries

16:00 – 16:20 “Modelling and Analysing Dynamic Linked Data using RDF and SPARQL” (full paper) Tobias Käfer, Alexandra Wins and Maribel Acosta.

16:20 – 16:40 “The Sevod Vocabulary for Dataset Descriptions for Federated Querying” (full paper) Stasinos Konstantopoulos, Angelos Charalambidis, Antonis Troumpoukis, Giannis Mouchakis and Vangelis Karkaletsis

16:40 – 17:00 “Match++: A Novel Approach for Interlinking User Profiles on Social Networks” (full paper) Hussein Hazimeh, Elena Mugellini, Omar Abou Khaled and Philippe Cudré-Mauroux

17:00 – 17:15 “BotDCAT-AP: an extension of the DCAT Application Profile for describing datasets for chatbot systems” (short paper) Paolo Cappello, Marco Comerio and Irene Celino

17:15 – 17:30 “On the Role of the GRAPH Clause in the Performance of Federated SPARQL Queries” (short paper) David Chaves Fraga, Oscar Corcho and Claudio Gutierrez

17:30 – 17:35 Closing