%0 Journal Article %1 mohammadi2020sanomhobbit %A Mohammadi, Majid %A Hofman, Wout %A Tan, Yao-Hua %B The Knowledge Engineering Review %D 2020 %I Cambridge University Press %K knowledge-bases %P e13-- %R DOI: 10.1017/S026988892000017X %T SANOM-HOBBIT: simulated annealing-based ontology matching on HOBBIT platform %U https://www.cambridge.org/core/article/sanomhobbit-simulated-annealingbased-ontology-matching-on-hobbit-platform/B050C25A4AB20412CF5108FFE17E2F0E %V 35 %X Ontology alignment is an important and inescapable problem for the interconnections of two ontologies stating the same concepts. Ontology alignment evaluation initiative (OAEI) has been taken place for more than a decade to monitor and help the progress of the field and to compare systematically existing alignment systems. As of 2018, the evaluation of systems is partly transitioned to the HOBBIT platform. This paper contains the description of our alignment system, simulated annealing-based ontology matching (SANOM), and its adaption into the HOBBIT platform. The outcomes of SANOM on the HOBBIT for several OAEI tracks are reported, and the results are compared with other competing systems in the corresponding tracks.

@article{mohammadi2020sanomhobbit, abstract = {Ontology alignment is an important and inescapable problem for the interconnections of two ontologies stating the same concepts. Ontology alignment evaluation initiative (OAEI) has been taken place for more than a decade to monitor and help the progress of the field and to compare systematically existing alignment systems. As of 2018, the evaluation of systems is partly transitioned to the HOBBIT platform. This paper contains the description of our alignment system, simulated annealing-based ontology matching (SANOM), and its adaption into the HOBBIT platform. The outcomes of SANOM on the HOBBIT for several OAEI tracks are reported, and the results are compared with other competing systems in the corresponding tracks.}, added-at = {2020-04-02T14:12:54.000+0200}, author = {Mohammadi, Majid and Hofman, Wout and Tan, Yao-Hua}, biburl = {https://www.bibsonomy.org/bibtex/2dc8c7f5666cc1aa65ad7afb04903e79c/jomargi}, booktitle = {The Knowledge Engineering Review}, doi = {DOI: 10.1017/S026988892000017X}, interhash = {094f3630a8eb0788acfb3ea000e375ca}, intrahash = {dc8c7f5666cc1aa65ad7afb04903e79c}, issn = {02698889}, keywords = {knowledge-bases}, pages = {e13--}, publisher = {Cambridge University Press}, timestamp = {2020-04-02T14:12:54.000+0200}, title = {SANOM-HOBBIT: simulated annealing-based ontology matching on HOBBIT platform}, url = {https://www.cambridge.org/core/article/sanomhobbit-simulated-annealingbased-ontology-matching-on-hobbit-platform/B050C25A4AB20412CF5108FFE17E2F0E}, volume = 35, year = 2020 }