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 …
[HTML][HTML] Modular ontology modeling
Reusing ontologies for new purposes, or adapting them to new use-cases, is frequently
difficult. In our experiences, we have found this to be the case for several reasons:(i) differing …
difficult. In our experiences, we have found this to be the case for several reasons:(i) differing …
[HTML][HTML] Optimizing sensor ontology alignment through compact co-firefly algorithm
X Xue, J Chen - Sensors, 2020 - mdpi.com
Semantic Sensor Web (SSW) links the semantic web technique with the sensor network,
which utilizes sensor ontology to describe sensor information. Annotating sensor data with …
which utilizes sensor ontology to describe sensor information. Annotating sensor data with …
Results of the ontology alignment evaluation initiative 2018
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 …
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 …
TOM matcher results for OAEI 2021
D Kossack, N Borg, L Knorr… - CEUR Workshop …, 2022 - madoc.bib.uni-mannheim.de
This paper presents the matching system TOM together with its results in the Ontology
Alignment Evaluation Initiative 2021 (OAEI 2021). This is the first participation of TOM in the …
Alignment Evaluation Initiative 2021 (OAEI 2021). This is the first participation of TOM in the …
[HTML][HTML] KAE: A property-based method for knowledge graph alignment and extension
D Shi, X Li, F Giunchiglia - Journal of Web Semantics, 2024 - Elsevier
A common solution to the semantic heterogeneity problem is to perform knowledge graph
(KG) extension exploiting the information encoded in one or more candidate KGs, where the …
(KG) extension exploiting the information encoded in one or more candidate KGs, where the …
VeeAlign: multifaceted context representation using dual attention for ontology alignment
Ontology Alignment is an important research problem applied to various fields such as data
integration, data transfer, data preparation, etc. State-of-the-art (SOTA) Ontology Alignment …
integration, data transfer, data preparation, etc. State-of-the-art (SOTA) Ontology Alignment …
Embedding OWL ontologies with OWL2Vec
In this paper, we present a preliminary study to compute embeddings for OWL 2 ontologies
by projecting the ontology axioms into a graph and performing (random) walks over the …
by projecting the ontology axioms into a graph and performing (random) walks over the …
Conversational ontology alignment with chatgpt
This study evaluates the applicability and efficiency of ChatGPT for ontology alignment using
a naive approach. ChatGPT's output is compared to the results of the Ontology Alignment …
a naive approach. ChatGPT's output is compared to the results of the Ontology Alignment …