Context-Aware, Ontology-Based Service Discovery

Abstract

Abstract. Service discovery is a process of locating, or discovering, one or more documents, that describe a particular service. Most of the current service discovery approaches perform syntactic matching, that is, they retrieve services descriptions that contain particular keywords from the user's query. This often leads to poor discovery results, because the keywords in the query can be semantically similar but syntactically different, or syntactically similar but semantically different from the terms in a service description. Another drawback of the existing service discovery mechanisms is that the query-service matching score is calculated taking into account only the keywords from the user's query and the terms in the service descriptions. Thus, regardless of the context of the service user and the context of the services providers, the same list of results is returned in response to a particular query. This paper presents a novel approach for service discovery that uses ontologies to capture the semantics of the user's query, of the services and of the contextual information that is considered relevant in the matching process.

Survey of Semantic Similarity Measures in Pervasive Computing

“…The contextual information (attribute-value) described by Broens et al (2004) is the final phase in the matching process between a query R and service description S in order to classify the results of the previous phases. The process of matching is achieved by step-by-step filtering.…”

A JESS-enabled context elicitation system for providing context-aware Web services

“…Zhang, Zhang, Quek, and Chung (2005) further propose extensions to CC/PP to enable transformation descriptions between various receiving devices. Besides, several OWL-based context models are presented (Broens, Pokraev, Sinderen, Koolwaaij, & Costa, 2004;Khedr & Karmouch, 2004;Khedr, 2005) to provide high-quality results of service discoveries beyond the expressive limitations of CC/PP. These researchers all utilize ontology to describe contextual information including location, time, device, preference, and network.…”

Discovering Relevant Services in Pervasive Environments Using Semantics and Context

“…However, it is limited to a single predefined ontology which defines characteristics such as service mobility and service requirements, only. COSS [1] supports service type, inputs and outputs, approximate matching and ranking. However, it does not allow definition attributes beyond this and does not support reasoning.…”

“…Capturing behaviour [1,2] would allow requests to be matched with services that may be described differently but are semantically equivalent in meaning. It would also enable partial matching in the absence of an exact match.…”

“…They are used to construct ontologies, which provide an abstract model, defining concepts and properties which relate to a domain of interest [1] and a hierarchy of relations between these, using a set of axiom rules. This is sufficient to define formal semantics of service behaviour that can be reasoned about.…”