Computing the semantic similarity between pairs of terms plays a vital role within a myriad of shared data applications, such as data integration and ontology evolution. A first step towards building such applications is to determine which terms are semantically similar to each other. One feasible way to compute the similarity of two terms is to assess their word similarity by exploiting different knowledge resources, e.g., ontologies or domain corpora. Recently, information-theoretic approaches have shown promising results by computing the information content of concepts from the knowledge provided by ontologies. In these methods, the Most Informative Common Subsumers MICSs of two concepts play an important role in determining their similarity. While intuitive, surprisingly, these approaches often do not mirror human judgement well. In this paper, we investigate the effect of choosing a suitable subsumer, called Consensus Common Subsumer (CCS) among all common ancestors of two concepts, on the quality of the term similarity assessment. We cast this issue as an optimization problem by adopting the Particle Swarm Optimization algorithm as one of the most capable optimization approaches. An empirical evaluation based on well-established biomedical benchmarks and ontologies illustrates the accuracy of the proposed approach compared to state-of-the-art approaches.

Samira Babalou

Alsayed Algergawy

Birgitta König-Ries

Data & Knowledge Engineering

数据与知识工程 (DKE) 促进了这两个相关领域之间的思想交流和互动。 DKE 覆盖了全球范围内的研究人员、设计师、经理和用户。该杂志的主要目的是识别、调查和分析设计和有效使用这些系统的基本原则。

Data and Knowledge Engineering (DKE) facilitates the exchange of ideas and interaction between the two related fields of data and knowledge. The journal encompasses researchers, designers, managers, and users from around the globe. Its primary aim is to identify, investigate, and analyze the fundamental principles for designing and effectively utilizing these systems.

《数据与知识工程》(Data and Knowledge Engineering) 促进了数据与知识这两个相关领域之间的思想交流与互动。该期刊覆盖了全球范围内的研究人员、设计师、管理者和用户。其主要目的是识别、调查和分析设计及有效使用这些系统的基本原则。

Category	Quartile
计算机科学	3
计算机科学, 计算机人工智能	4
计算机科学, 计算机信息系统	4

SimBio: Adopting Particle Swarm Optimization for ontology-based biomedical term similarity assessment

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Journal Info

Category	Quartile
COMPUTER SCIENCE, INFORMATION SYSTEMS	2