Sergiy Nikitin

Service matching in agent systems

The problem of service and resource matching is being actively discussed currently as a new challenging task for the next generation of semantic discovery approaches for Web services and Web agents. A significant advantage is expected when using an ontological approach to semantically describe and query services. A matchmaking problem arises when a service is being queried and it includes the distance measure between the required service description and the one from the service registry. We realized the need to analyze the applicability of different matchmaking methods to agent development tools when implemented according to agent technology specifications such as FIPA. We consider three main groups of cases: matchmaking between classes of service profiles in pure taxonomies, matchmaking between classes in faceted taxonomies, and matchmaking between instances of faceted taxonomies.

Strategic industrial alliances in paper industry: XML‐ vs Ontology‐based integration platforms

Purpose – To identify cases related to design of ICT platforms for industrial alliances, where the use of Ontology‐driven architectures based on Semantic web standards is more advantageous than application of conventional modeling together with XML standards.Design/methodology/approach – A comparative analysis of the two latest and the most obvious use cases (NASA and Nordic Process Industry Data Exchange Alliance) concerned with development of an environment for integration and collaboration of industrial partners, has been used as a basis for the research results. Additionally, dynamics of changes in a domain data model and their consequences have been analyzed on a couple of typical use cases.Findings – Ontology‐driven architectures of a collaboration and integration ICT platforms have been recognized as more appropriate for a technical support of industrial alliances around a supply‐chains with a long life cycles.Research limitations/implications – More typical cases related to changes in domain data/...

Querying dynamic and context-sensitive metadata in semantic web

RDF (core Semantic Web standard) is not originally appropriate for context representation, because of its initial focus on the ordinary Web resources, such as web pages, files, databases, services, etc., which structure and content are more or less stable. However, on the other hand, emerging industrial applications consider e.g. machines, processes, personnel, services for condition monitoring, remote diagnostics and maintenance, etc. to be specific classes of Web resources and thus a subject for semantic annotation. Such resources are naturally dynamic, not only from the point of view of changing values for some attributes (state of resource), but also from the point of view of changing “status-labels” (condition of the resource). Thus, context-awareness and dynamism appear to be new requirements to the existing RDF. This paper discusses the issues of representing the contexts in RDF and constructions coming with context representation. We discover certain representation patterns and their classification towards development of the general approach of querying dynamic and context-sensitive metadata in Semantic Web by autonomous agents.

Ontology-based Semantic Web Service platform in Mobile Environments

The number of mobile terminals is continuously increasing in the world, although in many developed countries the market has saturated. Thus, the market can only grow if new service types are offered to the mobile terminals. One emerging technology that might make this possible is semantic web services. At the core of this technology are ontologies that are necessary for automatic discovery and composition of the services. In this paper we discuss how mobility affects the architectural considerations of semantic web service platform and particularly ontology management. We rely on reference architecture for Semantic Web Services in our work.

Using UDDI for Publishing Metadata of the Semantic Web

Although UDDI does not provide support for semantic search, retrieval and storage, it is already accepted as an industrial standard and a huge number of services already store their service specifications in UDDI. Objective of this paper is to analyze possibilities and ways to use UDDI registry to allow utilization of meta-data encoded according to Semantic Web standards for semantic-based description, discovery and integration of web resources in the context of needs of two research projects: “Adaptive Services Grid” and “SmartResource”. We present an approach of mapping RDFS upper concepts to UDDI data model using tModel structure, which makes possible to store semantically annotated resources internally in UDDI. We consider UDDI as an enabling specification for creation of a semantic registry for not only services, but also for web resources in general.