Ontology matching: A literature review
L Otero-Cerdeira, FJ Rodríguez-Martínez… - Expert Systems with …, 2015 - Elsevier
The amount of research papers published nowadays related to ontology matching is
remarkable and we believe that reflects the growing interest of the research community …
remarkable and we believe that reflects the growing interest of the research community …
Experiences from the anatomy track in the ontology alignment evaluation initiative
Background One of the longest running tracks in the Ontology Alignment Evaluation Initiative
is the Anatomy track which focuses on aligning two anatomy ontologies. The Anatomy track …
is the Anatomy track which focuses on aligning two anatomy ontologies. The Anatomy track …
Background knowledge in ontology matching: A survey
Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …
main challenges within the ontology matching operation is semantic heterogeneity, ie …
Cromatcher: An ontology matching system based on automated weighted aggregation and iterative final alignment
In order to perform ontology matching with high accuracy, while at the same time retaining
applicability to most diverse input ontologies, the matching process generally incorporates …
applicability to most diverse input ontologies, the matching process generally incorporates …
Recent developments for the linguistic linked open data infrastructure
In this paper we describe the contributions made by the European H2020 project “Prêt-a-
LLOD”('Ready-to-use Multilingual Linked Language Data for Knowledge Services across …
LLOD”('Ready-to-use Multilingual Linked Language Data for Knowledge Services across …
Ontology matching using neural networks: survey and analysis
Ontology matching is an effective method to establish interoperability between
heterogeneous ontologies. Artificial neural networks are powerful computational models …
heterogeneous ontologies. Artificial neural networks are powerful computational models …
Definition of an ontology matching algorithm for context integration in smart cities
L Otero-Cerdeira, FJ Rodríguez-Martínez… - Sensors, 2014 - mdpi.com
In this paper we describe a novel proposal in the field of smart cities: using an ontology
matching algorithm to guarantee the automatic information exchange between the agents …
matching algorithm to guarantee the automatic information exchange between the agents …
CroMatcher 2.0: A Comprehensive Analysis of the Improved Ontology Matching System
One of the main challenges in ontology matching is to match ontologies with high accuracy.
Therefore, ontology matching systems typically use multiple basic matchers, each targeting …
Therefore, ontology matching systems typically use multiple basic matchers, each targeting …
Linking from Schema. org microdata to the Web of Linked Data: An empirical assessment
Abstract The increase of Linked Open Data (LOD) usage has grown in the last few years,
and the number of datasets available is considerably higher. Taking this into account …
and the number of datasets available is considerably higher. Taking this into account …
[PDF][PDF] Cross-lingual ontology matching with CIDER-LM: results for OAEI 2022.
In this paper, the CIDER-LM cross-lingual matching system is presented, as well as the
results it achieved during the OAEI (Ontology Alignment Evaluation Initiative) 2022 …
results it achieved during the OAEI (Ontology Alignment Evaluation Initiative) 2022 …