Grid service discovery with rough sets

Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.The computational grid is evolving as a service-oriented computing infrastructure that facilitates resource sharing and large-scale problem solving over the Internet. Service discovery becomes an issue of vital importance in utilising grid facilities. This paper presents ROSSE, a Rough sets based search engine for grid service discovery. Building on Rough sets theory, ROSSE is novel in its capability to deal with uncertainty of properties when matching services. In this way, ROSSE can discover the services that are most relevant to a service query from a functional point of view. Since functionally matched services may have distinct non-functional properties related to Quality of Service (QoS), ROSSE introduces a QoS model to further filter matched services with their QoS values to maximise user satisfaction in service discovery. ROSSE is evaluated in terms of its accuracy and efficiency in discovery of computing services

Implementation of Aspect-oriented Business Process Models with Web Services

In software development, crosscutting concerns, such as security, audit, access control, authentication, logging, persistence, transaction, error handling etc. can be modularized using the aspect-oriented paradigm. In busi- ness process modeling, aspects have been used to reduce visualization complexity, increase reuse and improve model maintainability. There are techniques which address aspects in modeling and implementation phases of business process; however, these techniques adopt different semantic representations, hindering the integration of these phases into the BPM lifecycle. This work proposes an architecture for service discovery capable of selecting web services that implement crosscutting concerns and meet the goals established in the aspect modeling phase, executing them accordingly with a prioritization. A proof of concept to analyze the proposed architecture and generated artifacts was performed. Afterwards, the proposal was evaluated by means of an experiment. The results suggest that the def- inition of an operational goal enables the business spe- cialists to concentrate on the modeling of the aspect without necessarily concerning its implementation, since a proper option for implementation is discovered during the execution of the process

Semantic Web Services Provisioning

Semantic Web Services constitute an important research area, where vari ous underlying frameworks, such as WSMO and OWL-S, define Semantic Web ontologies to describe Web services, so they can be automatically discovered, composed, and invoked. Service discovery has been traditionally interpreted as a functional filter in current Semantic Web Services frameworks, frequently performed by Description Logics reasoners. However, semantic provisioning has to be performed taking Quality-of-Service (QOS) into account, defining user preferences that enable QOS-aware Semantic Web Service selection. Nowadays, the research focus is actually on QOS-aware processes, so cur rent proposals are developing the field by providing QOS support to semantic provisioning, especially in selection processes. These processes lead to opti mization problems, where the best service among a set of services has to be selected, so Description Logics cannot be used in this context. Furthermore, user preferences has to be semantically defined so they can be used within selection processes. There are several proposals that extend Semantic Web Services frameworks allowing QOS-aware semantic provisioning. However, proposed selection techniques are very coupled with their proposed extensions, most of them being implemented ad hoc. Thus, there is a semantic gap between functional descriptions (usually using WSMO or OWL-S) and user preferences, which are specific for each proposal, using different ontologies or even non-semantic de scriptions, and depending on its corresponding ad hoc selection technique. In this report, we give an overview of most important Semantic Web Ser vices frameworks, showing a comparison between them. Then, a thorough analysis of state-of-the art proposals on QOS-aware semantic provisioning and user preferences descriptions is presented, discussing about their applicabil ity, advantages, and defects. Results from this analysis motivate our research work, which has been already materialized in two early contributions.Los servicios web semánticos constituyen un importante campo de inves tigación, en el cual distintos frameworks, como por ejemplo WSMO y OWL-S, definen ontologías de la web semántica para describir servicios web, de for ma que estos puedan ser descubiertos, compuestos e invocados de manera automática. El descubrimiento de servicios ha sido interpretado tradicional mente como un filtro funcional en los frameworks actuales de servicios web semánticos, usando para ello razonadores de lógica descriptiva. Sin embargo, las tareas de aprovisionamiento semántico deberían tener en cuenta la calidad del servicio, definiendo para ello preferencias de usuario de manera que sea posible realizar una selección de servicios web semánticos sensible a la cali dad. Actualmente, el foco de la investigación está en procesos sensibles a la ca lidad, por lo que las propuestas actuales están trabajando en este campo intro duciendo el soporte adecuado a la calidad del servicio dentro del aprovisio namiento semántico, y principalmente en las tareas de selección. Estas tareas desembocan en problemas de optimización, donde el mejor servicio de entre un concjunto debe ser seleccionado, por lo que las lógicas descriptivas no pue den ser usadas en este contexto. Además, las preferencias de usuario deben ser definidas semánticamente, de forma que puedan ser usadas en las tareas de selección. Existen bastantes propuestas que extienden los frameworks de servicios web semánticos para habilitar el aprovisionamiento sensible a la calidad. Sin embargo, las técnicas de selección propuestas están altamente acopladas con dichas extensiones, donde la mayoría de ellas implementan algoritmos ad hoc. Por tanto, existe un salto semántico entre las descripciones funcionales (nor malmente usando WSMO o OWL-S) y las preferencias de usuario, las cuales son definidas específicamente por cada propuesta, usando ontologías distin tas o incluso descripciones no semánticas que dependen de la correspondiente técnica de selección ad hoc

Semantic web services for simulation component reuse and interoperability: An ontology approach

Commercial-off-the-shelf (COTS) Simulation Packages (CSPs) are widely used in industry primarily due to economic factors associated with developing proprietary software platforms. Regardless of their widespread use, CSPs have yet to operate across organizational boundaries. The limited reuse and interoperability of CSPs are affected by the same semantic issues that restrict the inter-organizational use of software components and web services. The current representations of Web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging Semantic Web. The authors present new research that partially alleviates the problem of limited semantic reuse and interoperability of simulation components in CSPs. Semantic models, in the form of ontologies, utilized by the authors’ Web service discovery and deployment architecture provide one approach to support simulation model reuse. Semantic interoperation is achieved through a simulation component ontology that is used to identify required components at varying levels of granularity (i.e. including both abstract and specialized components). Selected simulation components are loaded into a CSP, modified according to the requirements of the new model and executed. The research presented here is based on the development of an ontology, connector software, and a Web service discovery architecture. The ontology is extracted from simulation scenarios involving airport, restaurant and kitchen service suppliers. The ontology engineering framework and discovery architecture provide a novel approach to inter-organizational simulation, by adopting a less intrusive interface between participants Although specific to CSPs this work has wider implications for the simulation community. The reason being that the community as a whole stands to benefit through from an increased awareness of the state-of-the-art in Software Engineering (for example, ontology-supported component discovery and reuse, and service-oriented computing), and it is expected that this will eventually lead to the development of a unique Software Engineering-inspired methodology to build simulations in future

Semantic web service offer discovery for e-commerce

Semantic Web Services (SWS) are an important part of the Semantic Web, traditionally focused on discovery and composition of e-services. In the area of e-commerce services, it is necessary to go past the granularity of service discovery and also to consider discovering the actual offers provided by a service. Nevertheless, Semantic Web Services research has only recently started to consider offer discovery. In this paper, we present a solution for offer discovery that uses WSMO-Lite, the new lightweight semantic Web service annotation framework

Enhancing Workflow with a Semantic Description of Scientific Intent

Peer reviewedPreprin

Adding semantic annotations into (Geospatial) RESTful services

In this paper the authors present an approach for the semantic annotation of RESTful services in the geospatial domain. Their approach automates some stages of the annotation process, by using a combination of resources and services: a cross-domain knowledge base like DBpedia, two domain ontologies like GeoNames and the WGS84 vocabulary, and suggestion and synonym services. The authors’ approach has been successfully evaluated with a set of geospatial RESTful services obtained from ProgrammableWeb.com, where geospatial services account for a third of the total amount of services available in this registry

Methods for Efficient and Accurate Discovery of Services

With an increasing number of services developed and offered in an enterprise setting or the Web, users can hardly verify their requirements manually in order to find appropriate services. In this thesis, we develop a method to discover semantically described services. We exploit comprehensive service and request descriptions such that a wide variety of use cases can be supported. In our discovery method, we compute the matchmaking decision by employing an efficient model checking technique

Integrating semantic business process management and viewbased modeling

Mit dem zunehmenden Interesse an Service Orientierten Architekturen und den damit verbundenen Technologien, wie zum Beispiel Web Services und der Business Process Execution Language (BPEL), hat Geschäftsprozessmanagement in den letzten Jahren an Bedeutung gewonnen. Dennoch besteht eine Kluft zwischen der Gestaltung von Geschäftsprozessen, wie sie von ExpertInnen der Geschäftswelt durchgeführt wird, und deren Ausführung, die von IT-ExpertInnen umgesetzt und gewartet wird. Derzeit gibt es intensive Forschungsansätze im Bereich semantischer Technologien, die hohe Automatisierbarkeit versprechen, sodass diese Kluft weitgehend oder sogar vollständig überwunden werden soll. Erreicht werden soll dies durch eine wohldefinierte Wissensrepräsentation, die logisches Schließen erlaubt, auf der einen Seite sowie Generation von ausführbarem Code auf der anderen Seite. In dieser Magisterarbeit analyisieren wir die Möglichkeiten, ontologisiertes Wissen in ausführbaren Code zu übersetzen und präsentieren einen allgemeinen Entwicklungsprozess, der die Möglichkeiten von Modellgetriebener Softwareentwicklung (Model Driven Software Development, MDSD) nützt, um dieses Ziel zu erreichen. Dieser allgemeine Prozess wird dann an Hand einer konkreten Implementierung im Rahmen des SemBiz Projekts evaluiert. Im Rahmen des Projektes gibt es eine Semantische Schicht, basierend auf der Web Service Modeling Ontology (WSMO), die Abfrage und Schließen über die Prozesse der Wissensbasis ermöglicht, und eine Modellgetriebene Schicht basierend auf dem Eclipse Modeling Framework (EMF), die für Prozessabstraktion und Codegenerierung verwendet wird.With the increasing interest in Service Oriented Architectures and related technologies, such as Web Services and the Business Process Execution Language (BPEL), Business Process Management (BPM) has become more and more important in recent years. However, there still exists a gap between Business Process Modeling, as it is done by business experts, and Business Process Deployment and Execution, as it is maintained by IT Experts. Currently, a lot of research is going on in the field of semantic technologies, which promise to enable a high level of automation to narrow or even close this gap. This should be achieved through a well-defined knowledge representation which allows reasoning on the one hand and generation of executable code on the other hand. In this thesis, we analyze the options to transfer ontologized knowledge representations into executable code and suggest a generic engineering process model using the facilities of Model Driven Software Development (MDSD) to fulfill this goal. This generic process is evaluated by introducing a concrete implementation done for the SemBiz project, where a semantic layer based on the Web Service Modeling Ontology (WSMO) is used for querying and reasoning over the process space, and a MDSD layer based on Eclipse Modeling Framework (EMF) is used for process abstraction and code generation