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Enhanced Learner Model For Adaptive Mobile Learning, Ahmed Alhmouz, Jun Shen, Jun Yan, Rami Al-Hmouz Dec 2012

Enhanced Learner Model For Adaptive Mobile Learning, Ahmed Alhmouz, Jun Shen, Jun Yan, Rami Al-Hmouz

Dr Jun Shen

Personalisation and learner modelling are becoming more important in the area of mobile learning applications, taking into consideration learners' interests, preferences and contextual information. Students nowadays are able to learn anywhere and at any time. Mobile learning application content is one of several factors within various contexts that play an important role in the success of the adaptation process. The vast amount of data involved in any successful adaptation process creates complexity and poses serious challenges. This paper focuses on how to model the learner and all possible contexts in an extensible way that can be used for personalisation in …


Towards Knowledge Management In Sports Event Management: Context Analysis Of Malaysian Biannual Games With Commonkads, Azizul Abdul Ghaffar, Ghassan Beydoun, Jun Shen, William Tibben Dec 2012

Towards Knowledge Management In Sports Event Management: Context Analysis Of Malaysian Biannual Games With Commonkads, Azizul Abdul Ghaffar, Ghassan Beydoun, Jun Shen, William Tibben

Dr Jun Shen

Context Analysis (CA) is typically used as an early phase preceding the development of a knowledge-based systems in order to indicate how the system should interact with its environment and the various stakeholders. We undertake a detailed context analysis of business processes of the Malaysian Games (MG)to highlight blind spots of the process and enable the identification of an initial sports event knowledge management (KM) framework. Firstly, our CommonKADS driven analysis highlights how we can improve the business process and enable the organization to develop, distribute and apply its knowledge resources effectively. Secondly, the paper highlights specific features about the …


A Survey On Bio-Inspired Algorithms For Web Service Composition, Lijuan Wang, Jun Shen, Jianming Yong Dec 2012

A Survey On Bio-Inspired Algorithms For Web Service Composition, Lijuan Wang, Jun Shen, Jianming Yong

Dr Jun Shen

Web service composition has become a promis- ing technology in a variety of e-science or e-business areas. There are a variety of models and methods to deal with this issue from di#11;erent aspects. Bio-inspired algorithms are becoming main approaches and solutions. This paper reviews the current researches on web service composition based on bio-inspired algorithms, such as Ant Colony Opti- mization(ACO), Genetic Algorithm(GA), Evolutionary Al- gorithm(EA) and Particle Swarm Optimization(PSO). By analyzing and investigating di#11;erent approaches, this paper gives an overview about the researches on bio-inspired al- gorithm in web service composition and point out future directions.


P2cp: A New Cloud Storage Model To Enhance Performance Of Cloud Services, Zhe Sun, Jun Shen, Ghassan Beydoun Dec 2012

P2cp: A New Cloud Storage Model To Enhance Performance Of Cloud Services, Zhe Sun, Jun Shen, Ghassan Beydoun

Dr Jun Shen

This paper presents a storage model named Peer to Cloud and Peer (P2CP). Assuming that the P2CP model follows the Poisson process or Little’s law, we prove that the speed and availability of P2CP is generally better than that of the pure Peer to Peer (P2P) model, the Peer to Server, Peer (P2SP) model or the cloud model. A key feature of our P2CP is that it has three data transmission tunnels: the cloud-user data transmission tunnel, the clients’ data transmission tunnel, and the common data transmission tunnel. P2CP uses the cloud storage system as a common storage system. When …


Analysis Of Business Process Integration In Web Service Context, J. Shen, G. Grossmann, Y. Yang, M. Stumptner, M. Schrefl, T. Reiter Dec 2012

Analysis Of Business Process Integration In Web Service Context, J. Shen, G. Grossmann, Y. Yang, M. Stumptner, M. Schrefl, T. Reiter

Dr Jun Shen

The integration of Web services is a recent outgrowth of the Business Process integration field that will require powerful meta-schema matching mechanisms supported by higher level abstractions, such as UML meta-models. Currently, there are many XML-based workflow process specification languages (e.g. XPDL, BPEL) which can be used to define business processes in the Web services and Grid Computing world. However, with limited capability to describe the relationships (schemas or ontologies) between process objects, the dominant use of XML as a meta-data markup language makes the semantics of the processes ambiguous. OWL-S (Ontology Web Language for Services) exploits the semantic description …


Towards Peer Selection In A Semantically-Enriched Service Execution Framework With Qos Specifications, Jun Shen, Ghassan Beydoun, Graham Low, Brian Henderson-Sellers, Shuai Yuan Dec 2012

Towards Peer Selection In A Semantically-Enriched Service Execution Framework With Qos Specifications, Jun Shen, Ghassan Beydoun, Graham Low, Brian Henderson-Sellers, Shuai Yuan

Dr Jun Shen

This paper promotes an ontology-based multi agent system (MAS) framework to facilitate Peer-to-Peer (P2P) service selection with multiple service properties. P2P-based service has emerged as an important new field in the distributed computing arena. It focuses on intensive service sharing, innovative applications and compositions, and, in some cases, high performance orientation. However, one of the remaining challenges for the P2P-based service composition process is how to effectively discover and select the most appropriate peers to execute the service applications when considering multiple properties of the requested services. By introducing an ontology, different ontology-based e-service profiles can be proposed to facilitate …


Towards Bio-Inspired Cost Minimisation For Data-Intensive Service Provision, Lijuan Wang, Jun Shen Dec 2012

Towards Bio-Inspired Cost Minimisation For Data-Intensive Service Provision, Lijuan Wang, Jun Shen

Dr Jun Shen

The world is filled with an unimaginably vast amount of digital information which is getting even vaster and even growing more rapidly. The enormous new data is impacting every area of our society. The real strategic value of the data can determine what will happen and what can be discovered in the future. To better use the so called “Big Data”, automatic business process or workflow is needed to process large quantity of data. Biological systems present fascinating features, such as autonomy, scalability, adaptability, and robustness. The bio-inspired concepts and mechanisms have been successfully applied to service oriented systems. In …


Evaluating Usage Of Wsmo And Owl-S In Semantic Web Services, Lina Azleny Kamaruddin, Jun Shen, Ghassan Beydoun Dec 2012

Evaluating Usage Of Wsmo And Owl-S In Semantic Web Services, Lina Azleny Kamaruddin, Jun Shen, Ghassan Beydoun

Dr Jun Shen

Applying ontologies is the most promising approach to semantically enrich Web services. To facilitate this, two efforts contributed the most in enabling the creation of ontologies: OWL-S from the US and WSMO in Europe. These two compete and promote their ontologies from the design perspective, reflecting their inventors’ bias but not offering much help to Web service developers using them. To bypass existing biases and enable evaluation of ontologies expressed in these two languages, this paper provides a study of the two important facilitators, OWL-S and WSMO, surveying their usage in several SWS Projects and identifying their respective and outstanding …


A Pragmatic Gis-Oriented Ontology For Location Based Services, Jun Shen, Aneesh Krishna, Shuai Yuan, Ke Cai, Yuemin Qin Dec 2012

A Pragmatic Gis-Oriented Ontology For Location Based Services, Jun Shen, Aneesh Krishna, Shuai Yuan, Ke Cai, Yuemin Qin

Dr Jun Shen

With advances in automatic position sensing and wireless connectivity, location-based services (LBS) are rapidly developing, particularly in fields of geographic, tourism and logistic information systems. Currently, Web service has been viewed as one of most significant innovations in business industry, and designed on demand to provide spatial related information for LBS consumption. However, the traditional Web Service Description Language (WSDL) cannot meet those requirements, as WSDL is not able to support semantic content and information. In recent years, Ontology came up with an effective approach to enhance service description, automated discovery, dynamic composition, enactment, and other tasks such as managing …


Reflecting On Ontologies Towards Ontology-Based Agent-Oriented Software Engineering, Ghassan Beydoun, Brian Henderson-Sellers, Jun Shen, G. Low Dec 2012

Reflecting On Ontologies Towards Ontology-Based Agent-Oriented Software Engineering, Ghassan Beydoun, Brian Henderson-Sellers, Jun Shen, G. Low

Dr Jun Shen

“Ontology” in association with “software engineering” is becoming commonplace. This paper argues for the need to place ontologies at the centre of the software development lifecycle for multi agent systems to enhance reuse of software workproducts as well as to unify agent-based software engineering knowledge. The paper bridges the state-of-the-art of ontologies research from Knowledge Engineering (KE) within Artificial Intelligence and Metamodelling within Software Engineering (SE). It presents a sketch of an ontology-based Multi Agent System (MAS) methodology discussing key roles on ontologies and their impact of workproducts, illustrating these in a MAS software development project for an important application …


Swindew-S: Extending P2p Workflow Systems For Adaptive Composite Web Services, Jun Shen, Jun Yan, Yun Yang Dec 2012

Swindew-S: Extending P2p Workflow Systems For Adaptive Composite Web Services, Jun Shen, Jun Yan, Yun Yang

Dr Jun Shen

SwinDeW, an innovative decentralised workflow management system, has established an underlying framework for peer-to-peer (p2p) based business process coordination environments. SwinDeW-S extends SwinDeW to support adaptive composite service orchestration in the era of service-oriented computing. This paper comprehensively presents features of SwinDeW-S, including the p2p network establishment, the messaging mechanism, the service deployment and enactment, the service discovery and advertisement, and the service flow execution. The prototypical extension of SwinDeW to SwinDeW-S and the advantages of SwinDeW-S are also examined and analysed. With the innovative integration of service and p2p-based enterprise application techniques, SwinDeW-S can support composite service orchestration, deployment …


Guest Editorial Notes For Selected Papers From Soca 2010, Jun Shen, Soo-Dong Kim, Nalini Venkatasubramanian Dec 2012

Guest Editorial Notes For Selected Papers From Soca 2010, Jun Shen, Soo-Dong Kim, Nalini Venkatasubramanian

Dr Jun Shen

No abstract provided.


Towards Dynamic Formation Of Temporal Constraints For The Service Level Agreements Negotiation, Azlan Ismail, Jun Yan, Jun Shen Dec 2012

Towards Dynamic Formation Of Temporal Constraints For The Service Level Agreements Negotiation, Azlan Ismail, Jun Yan, Jun Shen

Dr Jun Shen

SLAs play an important role for the QoS-driven service composition. Meanwhile, the temporal constraints are one of the main elements in the management of SLA especially in specifying the validity period of the QoS offers. In practice, the temporal constraints should be generated dynamically by taking the resource capability of the provider into account. The generation should consider various parameters that influence the resource capability such as the expected duration of the required Web service, the amount of current utilization, the amount of available resources, the number of required time slots, etc. Therefore, this paper aims to elaborate this issue …


Modeling Mobile Learning System Using Anfis, Ahmed Al-Hmouz, Jun Shen, Jun Yan, Rami Al-Hmouz Dec 2012

Modeling Mobile Learning System Using Anfis, Ahmed Al-Hmouz, Jun Shen, Jun Yan, Rami Al-Hmouz

Dr Jun Shen

Personalisation is becoming more important in the area of mobile learning. Learner model is logically partitioned into smaller elements or classes in the form of learner profiles, which can represent the entire learning process. Machine learning techniques have the ability to detect patterns from complicated data and learn how to perform activities based on learner profiles. This paper focuses on a systematic approach in reasoning the learner contexts to deliver adaptive learning content. A fuzzy rule base model that has been proposed in related work is found insufficient in deciding all possible conditions. To tackle this problem, this paper adopts …


Adaptive Task Allocation For P2p-Based E-Services Composition, Jun Shen, Shuai Yuan Dec 2012

Adaptive Task Allocation For P2p-Based E-Services Composition, Jun Shen, Shuai Yuan

Dr Jun Shen

To effectively manage the task allocation, especially when handling with numerous different peers’ qualities, is one of the greatest challenges to be faced in order to guarantee the success of P2P-based e-services composition. In this context, various QoS descriptive frameworks and Web services technologies (such as WSDL and BPEL) are being considered as the most affordable solutions to promote the performance of decentralized e-services, through applying strategies like QoS ontologies and related optimization algorithms globally or locally. Nonetheless, most P2P-based service selection and composition approaches applied nowadays lack dynamism and autonomy. In this paper, we first propose an extension of …


From Bpel4ws Process Model To Full Owl-S Ontology, M. A. Aslam, S. Auer, J. Shen Dec 2012

From Bpel4ws Process Model To Full Owl-S Ontology, M. A. Aslam, S. Auer, J. Shen

Dr Jun Shen

BPEL4WS is one of the most utilized business process development languages. It can be used to develop executable business processes as a combination of Web Services interactions in a specific sequence called process flow. But still BPEL4WS lacks sufficient representation of business process semantics required for business processes automation. On the other hand OWL-S (OWL for Web Services) is designed to present such kind of semantic information. There exists similarity in the conceptual model of OWL-S and BPEL4WS that can be used to overcome this lack of semantics in BEPL4WS by mapping the BPEL4WS process model to the OWL-S ontology. …


A P2p Based Service Flow System With Advanced Ontology-Based Service Profiles, J. Shen, Y. Yang, Jun Yan Dec 2012

A P2p Based Service Flow System With Advanced Ontology-Based Service Profiles, J. Shen, Y. Yang, Jun Yan

Dr Jun Shen

A peer-to-peer (p2p) based service flow management system, SwinDeW-S, could support decentralised Web service composition, deployment and enactment. However, traditional workflow definition languages, such as extended XPDL and service-oriented BPEL4WS, have become insufficient to specify business process semantics, especially the descriptions of inputs, outputs, preconditions and effects. In this paper, we propose a novel solution based on OWL-S, a semantic Web ontology language that leverages service discovery, invocation and negotiation more effectively. The enhanced SwinDeW-S architecture is adapted with advanced ontology-based service profiles, and it takes advantage of a well-developed profile generation tool, which translates the BPEL4WS process models to …


Dynamic Selection Of Service Peers With Multiple Property Specifications, Jun Shen, Shuai Yuan, Aneesh Krishna Dec 2012

Dynamic Selection Of Service Peers With Multiple Property Specifications, Jun Shen, Shuai Yuan, Aneesh Krishna

Dr Jun Shen

Semantic Web services, one of the most significant areas in the emerging business process management systems, have attracted a great deal of effort from both academic and industry community. Traditional methodologies are still very inadequate to effectively and autonomously conduct service discovery and composition in a dynamic environment, as they seldom focus on dealing with real complex situations, such as simultaneously considering peers’ multiple specifications which reflect different properties of e-services. Different ontology based e-service profiles have been proposed to enhance service oriented framework for the total or partial automation of service invocation, discovery, selection and composition, which are involved …


Qos-Aware Service Selection In P2p-Based Business Process Frameworks, S. Yuan, J. Shen Dec 2012

Qos-Aware Service Selection In P2p-Based Business Process Frameworks, S. Yuan, J. Shen

Dr Jun Shen

With the advances and evolution of semantic Web services, service providers need to be more competitive, efficient, flexible, and integrated in the service network at different scenarios, including static and dynamic deployments and interactions. Recently, OWL-S and QoS-aware services have been distinguished due to their significance and their impact on decentralised network. JXTA and BPEL allow peers to cooperate and automate business processes and reengineer their structure, so as to rationally select and make use of all resource in decentralised environment; in addition, they increase efficiency and reduce costs. We incorporated several typical constraints to testify the possibility of the …


Expressing Business Process Model As Owl-S Ontologies, M. A. Aslam, S. Auer, J. Shen, M. Herrmann Dec 2012

Expressing Business Process Model As Owl-S Ontologies, M. A. Aslam, S. Auer, J. Shen, M. Herrmann

Dr Jun Shen

BPEL4WS is a well-established business process standard that can be used to orchestrate service-based workflows. However, the rapid growth and automation demands of e-business and grid applications require BPEL4WS to provide enhanced semantic annotations to achieve the goal of business processes automation. Here, OWL-S (OWL for Web Services) is designed to represent such kind of semantic information. Furthermore, there exists a similarity in the conceptual model of OWL-S and BPEL4WS that can be employed to overcome the lack of semantics in BPEL4WS by mapping the BPEL4WS process model to the OWL-S suite of ontologies. The mapped OWL-S service can be …


An Effective Data Aggregation Based Adaptive Long Term Cpu Load Predictions Mechanism On Computational Grid, Fang Dong, Junzhou Luo, Aibo Song, Jiuxin Cao, Jun Shen Dec 2012

An Effective Data Aggregation Based Adaptive Long Term Cpu Load Predictions Mechanism On Computational Grid, Fang Dong, Junzhou Luo, Aibo Song, Jiuxin Cao, Jun Shen

Dr Jun Shen

With the development of Internet-based technologies and the rapid growth of scientific computing applications, Grid computing becomes more and more attractive. Generally, the execution time of a CPU-intensive task on a certain resource is tightly related to the CPU load on this resource. In order to estimate the task execution time more accurately to achieve an effective task scheduling, it is significant to make an effective long-term load prediction in dynamic Grid environments. Nevertheless, as the prediction errors will be gradually accumulated while the best values of prediction parameters may vary vigorously, the existing prediction algorithms usually fail to achieve …


Modelling And Simulation Of An Adaptive Neuro-Fuzzy Inference System (Anfis) For Mobile Learning, Ahmed Al-Hmouz, Jun Shen, Rami Al-Hmouz, Jun Yan Dec 2012

Modelling And Simulation Of An Adaptive Neuro-Fuzzy Inference System (Anfis) For Mobile Learning, Ahmed Al-Hmouz, Jun Shen, Rami Al-Hmouz, Jun Yan

Dr Jun Shen

With recent advances in mobile learning (m-learning), it is becoming possible for learning activities to occur everywhere. The learner model presented in our earlier work was partitioned into smaller elements in the form of learner profiles, which collectively represent the entire learning process. This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS) for delivering adapted learning content to mobile learners. The ANFIS model was designed using trial and error based on various experiments. This study was conducted to illustrate that ANFIS is effective with hybrid learning, for the adaptation of learning content according to learners' needs. Study results show that …