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| A Framework to Normalize Ontology Representation for Stable Measurement | |
| Ma, YL; Wang, CL; Jin, BH | |
| 2015 | |
| Source | JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
 |
| ISSN | 1530-9827 |
| Volume | 15Issue:4 |
| English Abstract | Ontology measurement is an important challenge in the field of knowledge management in order to manage the development of ontology based systems and reduce the risk of project failure. Effective ontology measurement is the precondition on which the meaningful and useful ontology evaluation can be made. We propose a framework to normalize representation of ontologies for their stable measurement, where the semantic enriched representation model (SERM) is proposed as the unique representation for ontologies. By the normalization framework, we provide a four-step procedure to extract ontology entities and calculate measures based on SERM model. Both the theoretical analysis and the experimental results show that our framework is effective and useful to perform stable ontology measurement. It is suitable to measure more expressive ontologies. This framework enables users to perform automatic ontology measurement without much expertise knowledge about ontology programming and reasoning.; Ontology measurement is an important challenge in the field of knowledge management in order to manage the development of ontology based systems and reduce the risk of project failure. Effective ontology measurement is the precondition on which the meaningful and useful ontology evaluation can be made. We propose a framework to normalize representation of ontologies for their stable measurement, where the semantic enriched representation model (SERM) is proposed as the unique representation for ontologies. By the normalization framework, we provide a four-step procedure to extract ontology entities and calculate measures based on SERM model. Both the theoretical analysis and the experimental results show that our framework is effective and useful to perform stable ontology measurement. It is suitable to measure more expressive ontologies. This framework enables users to perform automatic ontology measurement without much expertise knowledge about ontology programming and reasoning. |
| Indexed Type | SCI |
| Department | North China Elect Power Univ, Control & Comp Engn, Beijing 102206, Peoples R China. Chinese Acad Sci, Inst Software, Technol Ctr Software Engn, Beijing 100190, Peoples R China. |
| Language | 英语 |
| WOS ID | WOS:000365270500001 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/17429 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Ma, YL,Wang, CL,Jin, BH. A Framework to Normalize Ontology Representation for Stable Measurement[J]. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING,2015,15(4). |
| APA | Ma, YL,Wang, CL,&Jin, BH.(2015).A Framework to Normalize Ontology Representation for Stable Measurement.JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING,15(4). |
| MLA | Ma, YL,et al."A Framework to Normalize Ontology Representation for Stable Measurement".JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING 15.4(2015). |
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