Anatomy Ontology Matching Using Markov Logic Networks
The anatomy of model species is described in ontologies, which are used to standardize the annotations of experimental data, such as gene expression patterns. To compare such data between species, we need to establish relationships between ontologies describing different species. Ontology matching i...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Scientifica |
| Online Access: | http://dx.doi.org/10.1155/2016/1010946 |
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| _version_ | 1832546178289369088 |
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| author | Chunhua Li Pengpeng Zhao Jian Wu Zhiming Cui |
| author_facet | Chunhua Li Pengpeng Zhao Jian Wu Zhiming Cui |
| author_sort | Chunhua Li |
| collection | DOAJ |
| description | The anatomy of model species is described in ontologies, which are used to standardize the annotations of experimental data, such as gene expression patterns. To compare such data between species, we need to establish relationships between ontologies describing different species. Ontology matching is a kind of solutions to find semantic correspondences between entities of different ontologies. Markov logic networks which unify probabilistic graphical model and first-order logic provide an excellent framework for ontology matching. We combine several different matching strategies through first-order logic formulas according to the structure of anatomy ontologies. Experiments on the adult mouse anatomy and the human anatomy have demonstrated the effectiveness of proposed approach in terms of the quality of result alignment. |
| format | Article |
| id | doaj-art-1a2355eff3d74a91934b244b81711be2 |
| institution | Kabale University |
| issn | 2090-908X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Scientifica |
| spelling | doaj-art-1a2355eff3d74a91934b244b81711be22025-02-03T07:23:35ZengWileyScientifica2090-908X2016-01-01201610.1155/2016/10109461010946Anatomy Ontology Matching Using Markov Logic NetworksChunhua Li0Pengpeng Zhao1Jian Wu2Zhiming Cui3School of Computer Science and Technology, Soochow University, Suzhou 215006, ChinaSchool of Computer Science and Technology, Soochow University, Suzhou 215006, ChinaSchool of Computer Science and Technology, Soochow University, Suzhou 215006, ChinaSchool of Computer Science and Technology, Soochow University, Suzhou 215006, ChinaThe anatomy of model species is described in ontologies, which are used to standardize the annotations of experimental data, such as gene expression patterns. To compare such data between species, we need to establish relationships between ontologies describing different species. Ontology matching is a kind of solutions to find semantic correspondences between entities of different ontologies. Markov logic networks which unify probabilistic graphical model and first-order logic provide an excellent framework for ontology matching. We combine several different matching strategies through first-order logic formulas according to the structure of anatomy ontologies. Experiments on the adult mouse anatomy and the human anatomy have demonstrated the effectiveness of proposed approach in terms of the quality of result alignment.http://dx.doi.org/10.1155/2016/1010946 |
| spellingShingle | Chunhua Li Pengpeng Zhao Jian Wu Zhiming Cui Anatomy Ontology Matching Using Markov Logic Networks Scientifica |
| title | Anatomy Ontology Matching Using Markov Logic Networks |
| title_full | Anatomy Ontology Matching Using Markov Logic Networks |
| title_fullStr | Anatomy Ontology Matching Using Markov Logic Networks |
| title_full_unstemmed | Anatomy Ontology Matching Using Markov Logic Networks |
| title_short | Anatomy Ontology Matching Using Markov Logic Networks |
| title_sort | anatomy ontology matching using markov logic networks |
| url | http://dx.doi.org/10.1155/2016/1010946 |
| work_keys_str_mv | AT chunhuali anatomyontologymatchingusingmarkovlogicnetworks AT pengpengzhao anatomyontologymatchingusingmarkovlogicnetworks AT jianwu anatomyontologymatchingusingmarkovlogicnetworks AT zhimingcui anatomyontologymatchingusingmarkovlogicnetworks |