Tutorial: Tools for Creating and Exploiting Large Knowledge Graphs (KGTK)
|
Date: 24 October 2021
|
Time: Full Day (times tbd)
|
Organizers: Filip Ilievski, Daniel Garijo, Hans Chalupsky, and Pedro Szekely
|
Knowledge Graphs (KGs) have become the de facto method for representing, sharing, and using knowledge, but exploiting KGs in AI applications is challenging for most researchers and developers, as it requires knowledge of a variety of approaches, tools, and formats. Our tutorial will showcase the Knowledge Graph Toolkit (KGTK), a comprehensive framework for creating and exploiting large KGs such as Wikidata. KGTK is designed for ease of use, scalability, and speed, and can process Wikidata-size KGs on a laptop. In the first half of the tutorial, we will introduce and experiment with a wide range of import, curation, transformation, analysis, and export commands, which can be flexibly chained into streaming pipelines through the command line. In the second half, we will show its applicability to three common and diverse KG use cases. This tutorial will introduce AI researchers and practitioners to effective tools for addressing a wide range of KG creation and exploitation use cases, and inform us on how to bring KGTK closer to its users.
|
Website: https://usc-isi-i2.github.io/kgtk-tutorial-iswc-2021/
|
|
|
|
Tutorial: Completeness, Recall, and Negation in Open-World Knowledge Bases
|
Date: 25 October 2021
|
Time: Half Day (times tbd)
|
Organizers: Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, and Fabian Suchanek
|
General-purpose knowledge bases (KBs) are a cornerstone of the Semantic Web. Pragmatically constructed from available web sources, these KBs are far from complete, which poses a set of challenges in curation as well as consumption. In this tutorial we present how knowledge about completeness, recall and negation in KBs can be expressed, extracted, and inferred. We proceed in 5 parts: (i) We introduce the logical foundations of knowledge representation and querying under partial closed-world semantics. (ii) We show how information about recall can be identified inside KBs and in text, and (iii) how it can be estimated via statistical patterns. (iv) We show how interesting negative statements can be identified, and (v) how recall can be targeted in a comparative notion.
|
Website: https://www.mpi-inf.mpg.de/iswc-2021-tutorial
|
|
|
|
Tutorial: Semantic Web for E-Government
|
Date: 25 October 2021
|
Time: Half Day (times tbd)
|
Organizers: Oscar Corcho, Luis-Daniel Ibáñez, Fabian Kirstein, and Elena Simperl
|
Public Sector Institutions have been strong advocates of Semantic Web technologies for achieving interoperability and integration among different organisational levels and provide meaningful services to citizens. On the other hand, Open data and related e-government initiatives have been motivating several research efforts in our community. This tutorial will provide attendees with a review of the cross-link between Semantic Web and this important application domain, introduce two current e-government initiatives and how they are making use of Semantic Web technologies, and provide hands-on experience on the knowledge graphs created by them, that have the potential to be valuable resources for the community.
|
Website: https://european-data-portal.gitlab.io/sem-web-egov/
|
|
|
|