Ontology Matching: State of the Art and Future Challenges

By Pavel Shvaiko, Jérôme Euzenat. IEEE Transactions on Knowledge and Data Engineering, 2013

1,320 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/71219c274777ea42e79180d05a9a377690207e07

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Citations in the corpus

Processing (2020, neutral): “One aspect of transfer and generalization is from the perspective of the individual learner.”
Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs (2016, methodology): “Using ontology matching techniques [55], these ontologies can be unified into an integrated ontology.”
PIDGIN: ontology alignment using web text as interlingua (2013, background): “RELATED WORK Ontology Alignment has received considerable attention in prior research, please see [16] for a recent survey.”
Ontology matching: A literature review (2015, background): “The answers provided by the practitioners for this question point out challenges that are inline with those highlighted by Euzenat and Shvaiko in Shvaiko and Euzenat (2013) and Euzenat and Shvaiko (2013).”
Ontology Matching (2007, methodology): “In (Shvaiko and Euzenat 2013), we focussed on large-scale matching evaluation, following some leading matching systems, such as LogMap (Sect.”
Results of the Ontology Alignment Evaluation Initiative 2014 (2014, background): “Matching evaluation still remains a challenging topic, which is worth further research in order to facilitate the progress of the field [30].”
Semantically Enhanced Software Traceability Using Deep Learning Techniques (2017, background): “Researchers have also explored the use of knowledge bases to create and utilize semantically aware associations in the trace creation process – where a knowledge base include basic domain terms and sentences that describe the relationships between those terms [36],[27],[62].”
Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges (2018, background): “The semantic association between manufacturing data is established by ontology model [78].”