ISWC2021 Papers

ISWC2021 Papers

From ISWC2021, an international conference on Semantic Web technologies, one of the artificial intelligence technologies for handling knowledge information.

In the previous article, we discussed ISWC2020. This time I will discuss ISWC2021, which was held as a virtual conference due to the coronavirus. As in the previous issue, there were many presentations related to the knowledge graph.

Workshops
The 2nd Wikidata Workshop
Workshop on data and research objects management for linked open science (DaMaLOS)
12th Workshop on Ontology Design and Patterns (WOP2021)
Fourth International Workshop on Semantic Web Meets Health Data Management (SWH)
Workshop on Deep Learning for Knowledge Graphs (DL4KG)
7th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW)
6th International Workshop on Visualization and Interaction for Ontologies and Linked Data (VOILA)
The Sixteenth International Workshop on Ontology Matching (OM)

Tutorials
Tutorial: Tools for Creating and Exploiting Large Knowledge Graphs (KGTK)
Tutorial: Completeness, Recall, and Negation in Open-World Knowledge Bases
Tutorial: Semantic Web for E-Government

Session 1A: Question Answering
Open Domain Question Answering over Knowledge Graphs using Keyword Search, Answer Type Prediction, SPARQL and Pre-trained Neural Models (Reserch)
EDG-based Question Decomposition for Complex Question Answering over Knowledge Bases (Research)
Generative Relation Linking for Question Answering over Knowledge Bases (Research)

Session 1B – Society and Semantic Technologies
Use of Semantic Technologies to Inform Progress Toward Zero-Carbon Economy (In-Use)
(Best Paper Candidate) CKGG: A Chinese Knowledge Graph for High-School Geography Education and Beyond (Resources)
AgroLD: a knowledge graph for plant sciences (Resources)

Session 1D – Industry 1
Building a Semantic Modeling Team - Skills to Have and Attitudes to Avoid
Flexible and Extensible Competency Management with Knowledge Graphs
Boosting Information Extraction through Semantic Technologies: The KIDs use case at CONSOB
Integrating Graph and Machine Learning for Fraud Detection Use Case

Session 2A – Visual Models
(Best Student Paper Candidate) Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering (Research)
Learning Visual Models using a Knowledge Graph as a Trainer (Research)
Zero-shot Visual Question Answering using Knowledge Graph (Research)

Session 2B – Learning from Wikidata
Learning to Predict the Departure Dynamics of Wikidata Editors (Research)
(Best Student Paper Candidate) Learning to Recommend Items to Wikidata Editors (Research)
Best Paper Award Improving Inductive Link Prediction Using Hyper-Relational Facts (Research)

Session 2C – Semantic Integration
Best Paper Award Leveraging Semantic Web technologies for digital interoperability in the European Railway domain (In-Use)
On constructing Enterprise Knowledge Graphs under quality and availability constraints (In-Use)
Towards Semantic Interoperability in Historical Research: Documenting Research Data and Knowledge with Synthesis (in-Use

Session 2D – Industry 2
Leveraging Knowledge Graph and DeepNER to Improve UoM Handling in Search
Assessing Scientific Conferences through Knowledge Graphs
Knowledge Graphs to help with Data-driven Clinical Decision-making
A Healthcare Knowledge Graph-based Approach to Enable Focused Clinical Search

Session 3A – Knowledge Graph Embeddings
Improving Knowledge Graph Embeddings with Ontological Reasoning (Research)
Using Compositional Embeddings for Fact Checking (Research)
LiterallyWikidata - A Benchmark for Knowledge Graph Completion using Literals (Resources)

Session 3B – Data Transformation
A Source-to-Target Constraint rewriting for Direct Mapping (Research)
Scalable Transformation of Big Geospatial Data into Linked Data (Resources)
(Best Paper Candidate) Wikibase as an Infrastructure for Knowledge Graphs: the EU Knowledge Graph (In-Use)

Session 3C – SW Challenges 1 (Challenges in Parallel)
SMART 2021: Semantic Answer Type and Relation Prediction Task
All the Agents Challenge (ATAC)

Session 3D – Industry 3
BAMM Aspect Meta Model
OntoScene: Ontology Guided Indoor Scene Understanding for Cognitive Robotic Tasks
Enabling a semantic sensor knowledge approach for quality control support in Cleanrooms
A Framework for Automatically Interpreting Tabular Data at Orange

Session 4A: Ontologies
EduCOR: An Educational and Career-Oriented Recommendation Ontology (Resources)
A High-Level Ontology Network for ICT Infrastructures (Resources)
Rail Topology Ontology: A Rail Infrastructure Base Ontology (Resources)

Session 4B: Information Extraction
A Graph-based Approach for Inferring Semantic Descriptions of Wikipedia Tables (Research)
Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension (Research)
PCSG: Pattern-Coverage Snippet Generation for RDF Datasets (Research)

Session 4C: Data Analytics
Fast ObjectRank for Large Knowledge Databases (Research)
Best Paper Award Chimera: a bridge between big data analytics and semantic technologies (Resources)
BEEO: Semantic Support for Event-based Data Analytics (Resources)

Session 4D: SW Challenges 2 (Challenges in Parallel)
SemTab: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching
Semantic Reasoning Evaluation Challenge (SemREC)

Session 5A: Linked Data Applications
(Best Paper Candidate) The Punya Platform: Building Mobile Research Apps with Linked Data and Semantic Features (Resources)
Reconciling and Using Historical Person Registers as Linked Open Data in the AcademySampo Portal and Data Service (In-Use)
(Best Paper Candidate) Mapping Manuscript Migrations on the Semantic Web: A Semantic Portal and Linked Open Data Service for Pre-modern Manuscript Research (In-Use)

Session 5B: Validation
Best Student Paper Award Dataset or Not? A study on the veracity of semantic markup for dataset pages (Research)
A Framework for Quality Assessment of Semantic Annotations of Tabular Data (Resources)
ProGS: Property Graph Shapes Language (Research)

Session 5C: Semantic Matching
Graph-boosted Active Learning for Multi-Source Entity Resolution (Research)
Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs (Research)
Background Knowledge in Schema Matching: Strategy vs. Data (Research)

In the next article, we will discuss ISWC2022.