Semtab 2019: Resources to benchmark tabular data to knowledge graph matching systems
Abstract Tabular data to Knowledge Graph matching is the process of assigning semantic
tags from knowledge graphs (eg, Wikidata or DBpedia) to the elements of a table. This task …
tags from knowledge graphs (eg, Wikidata or DBpedia) to the elements of a table. This task …
Results of the ontology alignment evaluation initiative 2020
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching
systems on precisely defined test cases. These test cases can be based on ontologies of …
systems on precisely defined test cases. These test cases can be based on ontologies of …
[PDF][PDF] Melt-matching evaluation toolkit
In this paper, we present the Ontology Matching EvaLuation Toolkit (MELT), a software
toolkit to facilitate ontology matcher development, configuration, evaluation, and packaging …
toolkit to facilitate ontology matcher development, configuration, evaluation, and packaging …
Semantic interoperability in the IoT: Extending the web of things architecture
O Novo, MD Francesco - ACM Transactions on Internet of Things, 2020 - dl.acm.org
The adoption of the Internet of Things is gradually increasing. However, there remains a
significant obstacle that hinders its adoption as a truly ubiquitous technology: the ability of …
significant obstacle that hinders its adoption as a truly ubiquitous technology: the ability of …
The knowledge graph track at OAEI: Gold standards, baselines, and the golden hammer bias
S Hertling, H Paulheim - … Web: 17th International Conference, ESWC 2020 …, 2020 - Springer
Abstract The Ontology Alignment Evaluation Initiative (OAEI) is an annual evaluation of
ontology matching tools. In 2018, we have started the Knowledge Graph track, whose goal is …
ontology matching tools. In 2018, we have started the Knowledge Graph track, whose goal is …
Results of the ontology alignment evaluation initiative 2019
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching
systems on precisely defined test cases. These test cases can be based on ontologies of …
systems on precisely defined test cases. These test cases can be based on ontologies of …
Entity type recognition–dealing with the diversity of knowledge
F Giunchiglia, M Fumagalli - Proceedings of the international …, 2020 - proceedings.kr.org
Semantic Heterogeneity is the problem that arises when multiple resources present
differences in how they represent the same real-world phenomenon. In KR, an early …
differences in how they represent the same real-world phenomenon. In KR, an early …
Dividing the ontology alignment task with semantic embeddings and logic-based modules
Large ontologies still pose serious challenges to state-of-the-art ontology alignment
systems. In this paper we present an approach that combines a neural embedding model …
systems. In this paper we present an approach that combines a neural embedding model …
Unsupervised hierarchy matching with optimal transport over hyperbolic spaces
D Alvarez-Melis, Y Mroueh… - … Conference on Artificial …, 2020 - proceedings.mlr.press
This paper focuses on the problem of unsupervised alignment of hierarchical data such as
ontologies or lexical databases. This problem arises across areas, from natural language …
ontologies or lexical databases. This problem arises across areas, from natural language …
Dbkwik: extracting and integrating knowledge from thousands of wikis
S Hertling, H Paulheim - Knowledge and Information Systems, 2020 - Springer
Popular cross-domain knowledge graphs, such as DBpedia and YAGO, are built from
Wikipedia, and therefore similar in coverage. In contrast, Wikifarms like Fandom contain …
Wikipedia, and therefore similar in coverage. In contrast, Wikifarms like Fandom contain …