Benefits of Semantics on Web Service Composition from a Complex Network Perspective
원문 초록
The number of publicly available Web services (WS) is continuously growing, and in parallel, we are witnessing a rapid development in semantic-related web technologies. The intersection of the semantic web and WS allows the development of semantic WS. In this work, we adopt a complex network perspective to perform a comparative analysis of the syntactic and semantic approaches used to describe WS. From a collection of publicly available WS descriptions, we extract syntactic and semantic WS interaction networks. We take advantage of tools from the complex network field to analyze them and determine their properties. We show that WS interaction networks exhibit some of the typical characteristics observed in real-world networks, such as short average distance between nodes and community structure. By comparing syntactic and semantic networks through their properties, we show the introduction of semantics in WS descriptions should improve the composition process.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented Systems
Dynamic Service Composition Orchestrated by Cognitive Agents in Mobile & Pervasive Computing
NLSC: Unrestricted Natural Language-based Service Composition through Sentence Embeddings
Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion
Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking
토론
이 논문과 연결된 포럼 글이 아직 없습니다.