Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies.
Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies.
复制标题
DOI：
10.1142/9789812701626_0004
复制
发表时间：
2006-01-01
影响因子：
--
通讯作者：
Hunter, Lawrence
中科院分区：
文献类型：
--
作者：
Johnson, Helen L;Cohen, K Bretonnel;Hunter, Lawrence
我们使用了精确的术语匹配，词干提取和同义词的包含，通过Lucene信息检索库实现，以发现基因本体和其他三个OBO本体之间的关系：ChEBI，细胞类型和BRENDA组织。建议的关系由领域专家进行评估。我们发现了91,385个本体之间的关系。各种方法的正确性范围很广。基于这些结果，我们建议在使用之前仔细评估所有匹配策略，包括精确的字符串匹配。完整的关系可以在compbio.uchsc.edu/dependencies上找到。
We used exact term matching, stemming, and inclusion of synonyms, implemented via the Lucene information retrieval library, to discover relationships between the Gene Ontology and three other OBO ontologies: ChEBI, Cell Type, and BRENDA Tissue. Proposed relationships were evaluated by domain experts. We discovered 91,385 relationships between the ontologies. Various methods had a wide range of correctness. Based on these results, we recommend careful evaluation of all matching strategies before use, including exact string matching. The full set of relationships is available at compbio.uchsc.edu/dependencies.