Hasan, Souleiman and Curry, Edward (2014) Approximate Semantic Matching of Events for the Internet of Things. ACM Transactions on Internet Technology, 14 (1). 2:1-2:23. ISSN 1533-5399

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Abstract

Event processing follows a decoupled model of interaction in space, time, and synchronization. However, another dimension of semantic coupling also exists and poses a challenge to the scalability of event processing systems in highly semantically heterogeneous and dynamic environments such as the Internet of Things (IoT). Current state-of-the-art approaches of content-based and concept-based event systems require a significant agreement between event producers and consumers on event schema or an external conceptual model of event semantics. Thus, they do not address the semantic coupling issue. This article proposes an approach where participants only agree on a distributional statistical model of semantics represented in a corpus of text to derive semantic similarity and relatedness. It also proposes an approximate model for relaxing the semantic coupling dimension via an approximation-enabled rule language and an approximate event matcher. The model is formalized as an ensemble of semantic and top-k matchers along with a probability model for uncertainty management. The model has been empirically validated on large sets of events and subscriptions synthesized from real-world smart city and energy management systems. Experiments show that the proposed model achieves more than 95% F1Score of effectiveness and thousands of events/sec of throughput formedium degrees of approximation while not requiring users to have complete prior knowledge of event semantics. In semantically loosely-coupled environments, one approximate subscription can compensate for hundreds of exact subscriptions to cover all possibilities in environments which require complete prior knowledge of event semantics. Results indicate that approximate semantic event processing could play a promising role in the IoT middleware layer.

Item Type:	Article
Keywords:	Computer-Communication Networks: Local and Wide-Area Networks, Internet; Information Storage and Retrieval: Information Search and Retrieval— Information filtering; Systems and Software—Distributed systems;
Academic Unit:	Faculty of Social Sciences > School of Business
Item ID:	11327
Identification Number:	https://doi.org/10.1145/2633684
Depositing User:	Souleiman Hasan
Date Deposited:	17 Oct 2019 13:08
Journal or Publication Title:	ACM Transactions on Internet Technology
Publisher:	Association for Computing Machinery (ACM)
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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