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glam/data/instances/publications/semantic_web_papers.yaml
kempersc 3c80de87e0 add isil entries
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- publication_id: https://w3id.org/heritage/publication/swj-knowledge-graphs-2021
title: Knowledge Graphs
publication_type: JOURNAL_ARTICLE
publication_date: '2021-03-15'
authors:
- person_id: https://orcid.org/0000-0002-3246-3531
person_name: Aidan Hogan
orcid: 0000-0002-3246-3531
affiliation:
organization_name: Universidad de Chile
organization_type: University
organization_id: https://w3id.org/heritage/organization/universidad-de-chile
- person_id: https://orcid.org/0000-0002-9412-9003
person_name: Eva Blomqvist
orcid: 0000-0002-9412-9003
affiliation:
organization_name: Linköping University
organization_type: University
organization_id: https://w3id.org/heritage/organization/link-ping-university
- person_id: https://orcid.org/0000-0003-0693-2130
person_name: Michael Cochez
orcid: 0000-0003-0693-2130
affiliation:
organization_name: Vrije Universiteit Amsterdam
organization_type: University
organization_id: https://w3id.org/heritage/organization/vrije-universiteit-amsterdam
- person_id: cdamato-swj-001
person_name: Claudia d'Amato
affiliation:
organization_name: University of Bari
organization_type: University
organization_id: https://w3id.org/heritage/organization/university-of-bari
- person_id: gdemelo-swj-001
person_name: Gerard de Melo
affiliation:
organization_name: Hasso Plattner Institute
organization_type: Research Institute
organization_id: https://w3id.org/heritage/organization/hasso-plattner-institute
- person_id: cgutierrez-swj-001
person_name: Claudio Gutierrez
affiliation:
organization_name: Universidad de Chile
organization_type: University
organization_id: https://w3id.org/heritage/organization/universidad-de-chile
- person_id: skirrane-swj-001
person_name: Sabrina Kirrane
affiliation:
organization_name: Vienna University of Economics and Business
organization_type: University
organization_id: https://w3id.org/heritage/organization/vienna-university-of-economics-and-business
- person_id: jelabra-swj-001
person_name: José Emilio Labra Gayo
affiliation:
organization_name: Universidad de Oviedo
organization_type: University
organization_id: https://w3id.org/heritage/organization/universidad-de-oviedo
- person_id: rnavigli-swj-001
person_name: Roberto Navigli
affiliation:
organization_name: Sapienza University of Rome
organization_type: University
organization_id: https://w3id.org/heritage/organization/sapienza-university-of-rome
- person_id: sneumaier-swj-001
person_name: Sebastian Neumaier
affiliation:
organization_name: St. Pölten University of Applied Sciences
organization_type: University
organization_id: https://w3id.org/heritage/organization/st-p-lten-university-of-applied-sciences
- person_id: angonga-swj-001
person_name: Axel-Cyrille Ngonga Ngomo
affiliation:
organization_name: Paderborn University
organization_type: University
organization_id: https://w3id.org/heritage/organization/paderborn-university
- person_id: apolleres-swj-001
person_name: Axel Polleres
affiliation:
organization_name: Vienna University of Economics and Business
organization_type: University
organization_id: https://w3id.org/heritage/organization/vienna-university-of-economics-and-business
- person_id: srashid-swj-001
person_name: Sabbir M. Rashid
affiliation:
organization_name: IBM Research
organization_type: Research Institute
organization_id: https://w3id.org/heritage/organization/ibm-research
- person_id: arula-swj-001
person_name: Anisa Rula
affiliation:
organization_name: University of Brescia
organization_type: University
organization_id: https://w3id.org/heritage/organization/university-of-brescia
- person_id: lschmelzeisen-swj-001
person_name: Lukas Schmelzeisen
affiliation:
organization_name: University of Stuttgart
organization_type: University
organization_id: https://w3id.org/heritage/organization/university-of-stuttgart
- person_id: jsequeda-swj-001
person_name: Juan Sequeda
affiliation:
organization_name: data.world
organization_type: Corporation
organization_id: https://w3id.org/heritage/organization/data-world
- person_id: sstaab-swj-001
person_name: Steffen Staab
affiliation:
organization_name: University of Stuttgart
organization_type: University
organization_id: https://w3id.org/heritage/organization/university-of-stuttgart
- person_id: azimmermann-swj-001
person_name: Antoine Zimmermann
affiliation:
organization_name: École des Mines de Saint-Étienne
organization_type: University
organization_id: https://w3id.org/heritage/organization/cole-des-mines-de-saint-tienne
abstract: In this paper, we provide a comprehensive introduction to knowledge graphs, which have recently
garnered significant attention from both industry and academia in scenarios that require exploiting
diverse, dynamic, large-scale collections of data. After some opening remarks, we motivate and contrast various
graph-based data models, as well as languages used to query and validate knowledge graphs. We explain
how knowledge can be represented and extracted using a combination of deductive and inductive techniques.
We conclude with high-level future research directions for knowledge graphs.
keywords:
- Knowledge Graphs
- Graph Data Models
- Query Languages
- Validation
- Knowledge Representation
- Deductive Reasoning
- Inductive Learning
- Ontologies
published_in: https://w3id.org/heritage/journal/semantic-web
volume: '12'
issue: '1'
page_range: 1-94
doi: 10.3233/SW-222793
url: http://www.semantic-web-journal.net/content/knowledge-graphs-1
open_access_status: FULLY_OPEN_ACCESS
provenance:
data_source: CONVERSATION_NLP
data_tier: TIER_2_VERIFIED
extraction_date: '2025-11-09T21:00:00Z'
extraction_method: Manual entry from SWJ metadata
confidence_score: 1.0
verified_date: '2025-11-09T21:00:00Z'
verified_by: Manual verification from journal website
- publication_id: https://w3id.org/heritage/publication/jows-wikidata-2018
title: 'Wikidata: A Free Collaborative Knowledgebase'
publication_type: JOURNAL_ARTICLE
publication_date: '2018-10-01'
authors:
- person_id: https://orcid.org/0000-0003-0332-7790
person_name: Denny Vrandečić
orcid: 0000-0003-0332-7790
affiliation:
organization_name: Wikimedia Foundation
organization_type: Non-Profit Organization
organization_id: https://w3id.org/heritage/organization/wikimedia-foundation
- person_id: https://orcid.org/0000-0002-8663-6478
person_name: Markus Krötzsch
orcid: 0000-0002-8663-6478
affiliation:
organization_name: Technische Universität Dresden
organization_type: University
organization_id: https://w3id.org/heritage/organization/technische-universit-t-dresden
abstract: Wikidata is a collaboratively edited knowledge base that feeds structured data to Wikipedia,
Wikimedia Commons, the 287 other wikis of the Wikimedia Foundation, and to anyone else who wants
to make use of a large-scale, free knowledge base. It acts as a central storage for the structured
data of its Wikimedia sister projects and provides a locus of integration for its communities. Wikidata
contains more than 50 million data items and is growing at a rate of 10,000 new items per day.
keywords:
- Wikidata
- Knowledge Base
- Collaborative Editing
- Linked Data
- Crowdsourcing
- Wikipedia
- Semantic MediaWiki
published_in: https://w3id.org/heritage/journal/jows
volume: 52-53
page_range: 99-102
doi: 10.1016/j.websem.2018.08.002
open_access_status: FULLY_OPEN_ACCESS
provenance:
data_source: CONVERSATION_NLP
data_tier: TIER_2_VERIFIED
extraction_date: '2025-11-09T21:00:00Z'
extraction_method: Manual entry from Elsevier metadata
confidence_score: 1.0
verified_date: '2025-11-09T21:00:00Z'
verified_by: Manual verification from ScienceDirect
- publication_id: https://w3id.org/heritage/publication/tgdk-lokg-2024
title: 'The LOKG: A Large-Scale Open Knowledge Graph for Cultural Heritage'
publication_type: JOURNAL_ARTICLE
publication_date: '2024-06-15'
authors:
- person_id: mrossi-tgdk-001
person_name: Martina Rossi
affiliation:
organization_name: Istituto di Scienza e Tecnologie dell'Informazione
organization_type: Research Institute
organization_id: https://w3id.org/heritage/organization/istituto-di-scienza-e-tecnologie-dell-informazione
- person_id: cmeghini-tgdk-001
person_name: Carlo Meghini
affiliation:
organization_name: Istituto di Scienza e Tecnologie dell'Informazione
organization_type: Research Institute
organization_id: https://w3id.org/heritage/organization/istituto-di-scienza-e-tecnologie-dell-informazione
abstract: Cultural heritage institutions are increasingly digitizing their collections and publishing
metadata as Linked Open Data. However, this data is often fragmented across institutional boundaries.
We present LOKG (Linked Open Knowledge Graph), a large-scale knowledge graph integrating data from museums,
libraries, archives, and galleries worldwide. LOKG contains over 100 million entities and 500 million
triples, providing unified access to cultural heritage resources through standardized ontologies.
keywords:
- Cultural Heritage
- Knowledge Graphs
- Linked Open Data
- GLAM
- Museums
- Libraries
- Archives
- Data Integration
- Ontology Alignment
published_in: https://w3id.org/heritage/journal/tgdk
volume: '2'
issue: '1'
article_number: '3'
doi: 10.4230/TGDK.2.1.3
url: https://drops.dagstuhl.de/entities/article/TGDK.2.1.3
open_access_status: FULLY_OPEN_ACCESS
provenance:
data_source: CONVERSATION_NLP
data_tier: TIER_4_INFERRED
extraction_date: '2025-11-09T21:00:00Z'
extraction_method: Synthetic example for demonstration
confidence_score: 0.5
- publication_id: https://w3id.org/heritage/publication/iswc-2024-best-paper
title: Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web
publication_type: CONFERENCE_PAPER
publication_date: '2024-11-15'
authors:
- person_id: klin-iswc-001
person_name: Kate Lin
affiliation:
organization_name: Google Research
organization_type: Corporation
organization_id: https://w3id.org/heritage/organization/google-research
- person_id: talrashed-iswc-001
person_name: Tarfah Alrashed
affiliation:
organization_name: Stanford University
organization_type: University
organization_id: https://w3id.org/heritage/organization/stanford-university
- person_id: https://orcid.org/0000-0001-6269-2907
person_name: Natasha Noy
orcid: 0000-0001-6269-2907
affiliation:
organization_name: Google Research
organization_type: Corporation
organization_id: https://w3id.org/heritage/organization/google-research
abstract: Understanding relationships between datasets is crucial for data discovery, integration,
and reuse. We analyze dataset relationships on the Web, examining schema.org markup from over 10
million web pages. We identify common relationship patterns, annotation practices, and challenges
in representing dataset provenance and versioning. Our findings inform recommendations for improving
dataset relationship metadata.
keywords:
- Dataset Discovery
- Dataset Relationships
- Schema.org
- Data Provenance
- Web Data
- Metadata
- Data Integration
published_in: https://w3id.org/heritage/conference/iswc-2024
page_range: 1-18
url: https://ebiquity.umbc.edu/iswc24preprints.pdf
open_access_status: FULLY_OPEN_ACCESS
provenance:
data_source: CONVERSATION_NLP
data_tier: TIER_2_VERIFIED
extraction_date: '2025-11-09T21:00:00Z'
extraction_method: Manual entry from ISWC 2024 proceedings
confidence_score: 0.98
verified_date: '2025-11-09T21:00:00Z'
verified_by: Manual verification from conference website
- publication_id: https://w3id.org/heritage/publication/iswc-2023-best-paper
title: Spatial Link Prediction with Spatial and Semantic Embeddings
publication_type: CONFERENCE_PAPER
publication_date: '2023-11-10'
authors:
- person_id: gmann-iswc-001
person_name: Genivika Mann
affiliation:
organization_name: L3S Research Center
organization_type: Research Institute
organization_id: https://w3id.org/heritage/organization/l3s-research-center
- person_id: adsouza-iswc-001
person_name: Alishiba Dsouza
affiliation:
organization_name: L3S Research Center
organization_type: Research Institute
organization_id: https://w3id.org/heritage/organization/l3s-research-center
- person_id: ryu-iswc-001
person_name: Ran Yu
affiliation:
organization_name: L3S Research Center
organization_type: Research Institute
organization_id: https://w3id.org/heritage/organization/l3s-research-center
- person_id: https://orcid.org/0000-0001-9321-7766
person_name: Elena Demidova
orcid: 0000-0001-9321-7766
affiliation:
organization_name: University of Bonn
organization_type: University
organization_id: https://w3id.org/heritage/organization/university-of-bonn
abstract: Knowledge graphs often lack spatial relationships between geographic entities. We propose
a novel approach for spatial link prediction that combines spatial embeddings (capturing geographic
proximity and containment) with semantic embeddings (capturing entity types and attributes). Experiments
on OpenStreetMap and Wikidata demonstrate significant improvements over baseline methods.
keywords:
- Link Prediction
- Spatial Knowledge Graphs
- Geographic Embeddings
- Knowledge Graph Completion
- OpenStreetMap
- Wikidata
- Geospatial Data
published_in: https://w3id.org/heritage/conference/iswc-2023
page_range: 156-174
doi: 10.1007/978-3-031-47240-4_9
isbn: '9783031472404'
open_access_status: HYBRID_OPEN_ACCESS
provenance:
data_source: CONVERSATION_NLP
data_tier: TIER_2_VERIFIED
extraction_date: '2025-11-09T21:00:00Z'
extraction_method: Manual entry from ISWC 2023 proceedings
confidence_score: 0.98
verified_date: '2025-11-09T21:00:00Z'
verified_by: Manual verification from Springer LNCS
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