Learning Services Based on Formal Concept Reasoning

A formal foundation of automated service discovering for Semantic Web is proposed. The approach is based on the formalization of the problem using an agent oriented programming language (ConGolog), as well as on the use of the Formal Concept Analysis as a tool for knowledge extraction.Ministerio de Educación y Ciencia TIN 2004- 0388

Automatic generation of natural language service descriptions from OWL-S service descriptions

As the web grows in both size and diversity, there is an increased need to automate aspects of its use such as service coordination (e.g., discovery, composition and execution). Semantic web services combine semantic web and web service technologies, providing the support for automatic service coordination. Semantic web services are described using semantic languages (e.g., OWL-S) and can be automatically processed by intelligent agents (agent based coordination). This dissertation aims at enhancing the service coordination process, building upon well-understood and widespread practices on natural language generation. Automated service coordination relies on the existence of formal service descriptions (semantic languages, such as OWL-S or WSML). The use of web services by people is essentially associated with the discovery, composition and execution of services that match their needs. According to the person’s will, the discovered or composed service is or is not executed. This decision can only be made if the person understands the description of the service. Therefore, it is necessary that formal descriptions be converted into more natural descriptions, adequate to human comprehension. This dissertation contributes to empower the users (knowledge engineers and common citizens) of service coordination systems with the capability to better understand and decide about discovered or composed services without the need of understanding the formal language in which the semantic web service is described. We implemented a software program capable of generating natural language service descriptions from OWL-S description. It is a template-based natural language generation system that receives the OWL-S description of a service as input and converts it into an English description. This system will leverage the use of service coordination technology by people and allow them to have a more active role in the various stages of the service coordination process

Publishing and Using Legislation and Case Law as Linked Open Data on the Semantic Web

ISBN 978-3-030-62327-2 Springer, ChamPeer reviewe

Design issues for agent-based resource locator systems

While knowledge is viewed by many as an asset, it is often difficult to locate particularitems within a large electronic corpus. This paper presents an agent based framework for the location of resources to resolve a specific query, and considers the associated design issue. Aspects of the work presented complements current research into both expertise finders and recommender systems. The essential issues for the proposed design are scalability, together ith the ability to learn and adapt to changing resources. As knowledge is often implicit within electronic resources, and therefore difficult to locate, we have proposed the use of ontologies, to extract the semantics and infer meaning to obtain the results required. We explore the use of communities of practice, applying ontology-based networks, and e-mail message exchanges to aid the resource discovery process

Thinking outside the TBox multiparty service matchmaking as information retrieval

Service oriented computing is crucial to a large and growing number of computational undertakings. Central to its approach are the open and network-accessible services provided by many different organisations, and which in turn enable the easy creation of composite workflows. This leads to an environment containing many thousands of services, in which a programmer or automated composition system must discover and select services appropriate for the task at hand. This discovery and selection process is known as matchmaking. Prior work in the field has conceived the problem as one of sufficiently describing individual services using formal, symbolic knowledge representation languages. We review the prior work, and present arguments for why it is optimistic to assume that this approach will be adequate by itself. With these issues in mind, we examine how, by reformulating the task and giving the matchmaker a record of prior service performance, we can alleviate some of the problems. Using two formalisms—the incidence calculus and the lightweight coordination calculus—along with algorithms inspired by information retrieval techniques, we evolve a series of simple matchmaking agents that learn from experience how to select those services which performed well in the past, while making minimal demands on the service users. We extend this mechanism to the overlooked case of matchmaking in workflows using multiple services, selecting groups of services known to inter-operate well. We examine the performance of such matchmakers in possible future services environments, and discuss issues in applying such techniques in large-scale deployments

Globalization Of Knowledge Discovery And Information Retrieval In Teaching And Learning

Developments in communication and information technologies in the last decade have had a significant impact on instructional and learning activities. For many students and educators, the Internet became the significant medium for sharing instruction, learning and communication. Access to knowledge beyond boundaries and cultures has an impact on methods of teaching and learning, affecting professional education in corporations worldwide. The blending of science with commercial applications, new methods of conducting business, and access to published and preliminary research is not longer limited to leading educational institutions and the northern hemisphere. This paper discusses educational opportunities, reviewing the latest trends in information retrieval, along with new teaching methodologies related to availability and globalization of information. The good news is that the multicultural melding of various intelligences and the global linking of intelligent knowledge systems promises to lend a multicultural wisdom to the selection and provision of information. We hope that this may ultimately contribute to a lessening of the gap between educationally rich and poor nations. In this paper the “digital divide” is seen to be a less vexing problem for the future of globalized intelligent information systems. This system, called the “Global Brain,” ameliorates existing differences in national access to educational content repositories used for teaching and learning

WEB SERVICES COMPOSITION METHODS AND TECHNIQUES: A REVIEW

ABSTRAC