A Behavioral Similarity Metric for Semantic Workflows Based on Semantic Task Adjacency Relations With Importance

• Main Authors: Jinyong Sun, Tianlong Gu, Junyan Qian
• Format: Article
• Language: English
• Published: IEEE 2017-01-01
• Series: IEEE Access
• Subjects: Domain knowledge; semantic workflow; semantic task adjacency relation with importance (ISTAR); behavioural similarity; workflow reuse
• Online Access: https://ieeexplore.ieee.org/document/7994590/

For modern enterprises and organizations, new business workflow can be constructed by reusing already available similar workflows in the repository. Workflow reuse is an important method for implementing business workflow management. Semantic workflows contain control-flow, data-flow, and semantic information relevant to a domain, which facilitates workflow reuse and adaptation. A similarity metric for semantic workflows is important for achieving workflow reuse. However, the existing similarity metrics for semantic workflows focus on workflow structures while ignoring their behaviours, which affect the quality of retrieved similar semantic workflows. Therefore, this paper proposes a behavioral similarity metric for semantic workflows based on semantic task adjacency relations with importance (ISTARs) that incorporate domain knowledge. First, ISTARs that involve semantic tasks and importance of semantic task adjacency relations are defined, and the ISTARs set is used to express the behaviour of the semantic workflow. The ISTAR similarity proposal is based on the similarity between two ISTARs sets and represents the similarity between semantic workflows. The ISTAR distance deduced from ISTAR similarity satisfies the properties of distance metrics. An experimental evaluation revealed that the proposed ISTAR similarity resulted in more effective retrieval of similar semantic workflows than did existing popular behavioral similarity measures.