图 书 馆
SIM-DL_A:一种新的用于减少概念间实例相似度描述逻辑的语义相似度度量方法SIM-DL_A: A Novel Semantic Similarity Measure for Description Logics Reducing Inter-Concept to Inter-Instance Similarity |
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| 课程网址: | http://videolectures.net/eswc09_janowicz_sdaanss/ |
| 主讲教师: | Krzysztof Janowicz |
| 开课单位: | 明斯特大学 |
| 开课时间: | 2009-07-28 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | While semantic similarity plays a crucial role for human categorization and reasoning, computational similarity measures have also been applied to fields such as semantics-based information retrieval or ontology engineering. Several measures have been developed to compare concepts specified in various description logics. In most cases, these measures are either structural or require a populated ontology. Structural measures fail with an increasing expressivity of the used description logic, while several ontologies, e.g., geographic feature type ontologies, are not populated at all. In this paper, we present an approach to reduce inter-concept to inter-instance similarity and thereby avoid the canonization problem of structural measures. The novel approach, called SIM-DL_A, reuses existing similarity functions such as co-occurrence or network measures from our previous SIM-DL measure. The required instances for comparison are derived from the completion tree of a slightly modified DL-tableau algorithm as used for satisfiability checking. Instead of trying to find one (clash-free) model, the tableau algorithm generates a set of proxy individuals used for comparison. The paper presents the algorithm, alignment matrix, and similarity functions as well as a detailed example. |
| 关 键 词: | 语义相似性; 信息检索; 本体工程; 描述逻辑 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-11-28：lxf |
| 阅读次数: | 38 |