2004Unpublished venueRequires access

An ontology-based publish/subscribe system

Jinling Wang, Beihong Jin, Jing Li

Open publisher page 88 citations

Abstract

Expressiveness and matching efficiency are two key design goals of publish/subscribe systems. In this paper, we introduce the Semantic Web technologies into the publish/subscribe system and propose an ontology-based publish /subscribe (OPS) system. The system can make use of the semantic of events to match events with subscriptions, and can support events with complex data structure (such as graph structure). An efficient matching algorithm is proposed for the OPS system, which can match events with subscriptions in a speed much higher than conventional graph matching algorithms. Therefore, the main contribution of our work is that it greatly improves the expressiveness of the publish/subscribe system without the sacrifice of matching efficiency.

About this research paper

What this paper is about

Expressiveness and matching efficiency are two key design goals of publish/subscribe systems. In this paper, we introduce the Semantic Web technologies into the publish/subscribe system and propose an ontology-based publish /subscribe (OPS) system. The system can make use of the semantic of events to match events with subscriptions, and can support events with complex data structure (such as graph structure). An efficient matching algorithm is proposed for the OPS system, which can match events with subscriptions in a speed much higher than conventional graph matching algorithms. Therefore, the main contribution of our work is that it greatly improves the expressiveness of the publish/subscribe system without the sacrifice of matching efficiency.

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OpenAlex reports 88 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Available abstract

Expressiveness and matching efficiency are two key design goals of publish/subscribe systems. In this paper, we introduce the Semantic Web technologies into the publish/subscribe system and propose an ontology-based publish /subscribe (OPS) system. The system can make use of the semantic of events to match events with subscriptions, and can support events with complex data structure (such as graph structure). An efficient matching algorithm is proposed for the OPS system, which can match events with subscriptions in a speed much higher than conventional graph matching algorithms. Therefore, the main contribution of our work is that it greatly improves the expressiveness of the publish/subscribe system without the sacrifice of matching efficiency.

Key concepts: Computer science, Publication, Matching (statistics), Ontology, Graph, Information retrieval, Key (lock), Semantic Web

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