Measuring ontology information by rules based transformation
文献类型：期刊论文
| 作者 | Ma, Yinglong (1) ; Lu, Ke (3) ; Zhang, Ying (1) ; Jin, Beihong (2) |
| 刊名 | Knowledge-Based Systems
 |
| 出版日期 | 2013 |
| 卷号 | 50页码:234-245 |
| 关键词 | Ontology Ontology measurement Stable measurement Semantic measurement Ontology Engineering |
| ISSN号 | 9507051 |
| 通讯作者 | Ma, Y.(yinglongma@gmail.com) |
| 中文摘要 | Ontologies have currently attracted much attention of researchers and engineers in many fields such as knowledge management, etc. It is attractive for ontology engineers to select and reuse the existing ontologies by measuring and evaluating them because ontology construction is rather tedious and costly. In this paper, a general framework for stable semantic ontology measurement is proposed. We first clarify the concepts of syntactic, semantic and stable semantic ontology measurement. Then we present the semantic derived model (SDM) to represent the semantic model of an ontology. By rule based transformation, an ontology can be automatically transformed into its final semantic derived model (FSDM) which is unique. Furthermore, we can measure ontologies based on FSDM by analyzing the types of entities of the existing ontology metrics. The related experiments are made to illustrate that our framework can effectively excavate and stably measure the semantics of ontologies. © 2013 Elsevier B.V. All rights reserved. |
| 英文摘要 | Ontologies have currently attracted much attention of researchers and engineers in many fields such as knowledge management, etc. It is attractive for ontology engineers to select and reuse the existing ontologies by measuring and evaluating them because ontology construction is rather tedious and costly. In this paper, a general framework for stable semantic ontology measurement is proposed. We first clarify the concepts of syntactic, semantic and stable semantic ontology measurement. Then we present the semantic derived model (SDM) to represent the semantic model of an ontology. By rule based transformation, an ontology can be automatically transformed into its final semantic derived model (FSDM) which is unique. Furthermore, we can measure ontologies based on FSDM by analyzing the types of entities of the existing ontology metrics. The related experiments are made to illustrate that our framework can effectively excavate and stably measure the semantics of ontologies. © 2013 Elsevier B.V. All rights reserved. |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000323875500018 |
| 公开日期 | 2014-12-16 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16916]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Ma, Yinglong ,Lu, Ke ,Zhang, Ying ,et al. Measuring ontology information by rules based transformation[J]. Knowledge-Based Systems,2013,50:234-245. |
| APA | Ma, Yinglong ,Lu, Ke ,Zhang, Ying ,&Jin, Beihong .(2013).Measuring ontology information by rules based transformation.Knowledge-Based Systems,50,234-245. |
| MLA | Ma, Yinglong ,et al."Measuring ontology information by rules based transformation".Knowledge-Based Systems 50(2013):234-245. |
入库方式： OAI收割
来源：软件研究所
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