语义Web服务组合一致性验证及案例研究

语义Web和Web服务是当前热门的应用技术，而两者的结合——语义Web服务将在未来几年具有极大的应用前景。语义使得~Web~服务的自动发现和自动组装变得非常容易、高效，但是随之而来的问题是如何确保自动组装的~Web~服务组合在本体知识库的状态下是一致的，并且在执行过程中也始终保持一致。 本文介绍了一种基于路径的语义Web服务组合验证方案，通过对服务组合中的单个Web服务进行输入、输出、前置条件和执行效果（IOPE）进行语义标注，旨在找出组合执行过程中在任何结点处可能存在的不一致性。文章定义了显式不一致性和隐式不一致性，首先提出了语义Web服务前置条件和执行效果的正规化表示方法，然后介绍了顺序和并发执行的多个Web服务之执行效果自动化累积算法，接下来给出了基于路径的一致性验证算法。文章还给出了实现该验证方案的平台架构，给出了相关实验过程和结果。 文章还完整地介绍了中科院某研究所本体的构造和扩充过程，定义了研究生毕业申请服务组合，并介绍了服务的IOPE标注，最后运用验证方案对该组合进行验证，给出了验证结果。

基于XML/Web Services的月球探测数据管理与集成技术研究

随着网络技术、特别是Internet技术的发展，分布式系统的高睦能、高可靠性、高灵敏度、可扩展性和系统透明性使得基于分布式系统的应用越来越广泛。在分布式坏境下，信息系统的集成是必须认真考虑的问题。研究如何集成和统一访问分布的、异构的数据资源，实现各种数据的转换、交流与共享；以及如何建立一个开放、可扩展和异构兼容的新一代信息管理系统成为当今网络应用的重要研究方向。本文针对建立月球探测数据管理和集成系统的数据集成与操作集成两方面的内容，重点分析和研究了数据存储管理和系统集成技术，结合月球探测数据管理的应用集成需求与特点提出了基于XML技术的数据存储与管理和基于Web Service技术的系统集成方案。并利用XML／WebService技术基于Net平台开发了一个月球探测数据管理与集成系统实例。研究内容主要包括以下四个方面： （1）基于XML的数据模型与数据库存储。利用XML的自描述性、独立于平台和应用、半结构化，机器可处理、可扩展性以及便于网络传输和广泛支持的特性，实现了基于关系数据库的XML数据存储。对系统中的结构化和非结构化数据信息、都进行了XML标记定义，实现了信息存储和查询的小粒度，增强了数据的表示、查询、插入和删除等数据处理能力和效率。同时，利用XML作为月球探测数据交换和信息传输的格式，也为实现与异构系统数据的互操作提供了理想的角军决方案。（2）基于WebServices的分布式信息系统集成的体系结构。在对XML、SOAP、WSDL和UDDI关键技术和标准规范进行研究与探讨基础上，针对绕月探测数据管理的需求提出了基于XML／Web Service的三层分布式结构模型。分别是表示层、应用逻辑层、服务端数据层。实现了系统功能的可迁移性和可装配性、各层间传输过程中数据流的XML化、接口定义的动态性。与传统技术开发的耦合的分布式应用系统相比，系统在跨平台性、可配置性、可伸缩性、可维护性等方面都有了大幅度的提高。（3）基于，NET平台系统的开发与实现。深入分析和研究了Mic1’osoft．NET平台的核心技术与整体技术框架，在VisLla1Sttldio．NET开发环境中利用C＃、ASP．NET、ADO．NET基于关系型数据库Oracle9i开发实现了统一身份认证系统和月球探测数据管理与集成系统。统一身份认证系统是一个通用的统一用户身份认证管理系统，包括用户管理、身份验证、实体管理、日志监控和消息、管理等功能，达到了一次登录，所有系统共用的目的。月球探测数据管理与集成系统包括数据管理、信息发布、系统管理、综合查询和应用集成五大功能模块，相对于原来的紧祸合的应用系统而言，系统的开发效率、重用性、祸合度、灵活性和自适 应性都有了很大的提高。（4）基于XML／WebServices的动态系统集成。分析了传统分布式对象模型在异构环境集成的弊端，基于XML、SOAP和WSDL等技术规范基础上，实现了统一身份认证系统、月球探测数据管理与集成系统、小空间碎片数据库系统以及其它语言开发的应用系统的信息集成、实现了资源时空的有效整合。通过这些集成应用实例，充分体现和说明了Web Services技术在应用系统集成方面的优越性。本研究的成果，也将为地球化学研究领域涉及海量数据的处理、管理和系统集成提供示范实例，推动地球化学数据的融合和综合应用。

ART: An ontology based tool for the translation of papers into Semantic Web format

To be presented at SIG/ISMB07 ontology workshop: http://bio-ontologies.org.uk/index.php To be published in BMC Bioinformatics. Sponsorship: JISC

Towards the design of a portal framework for web services integration

Web services based systems have recently found their way into many applications such as e-commerce, corporate integration and e-learning. Construction of new services or introducing new functions to existing services requires composition of web services. Current approaches to service composition often require major programming effort; this is time consuming and requires considerable developer expertise. In this paper, we explore the real and rich scenarios found in e-learning where education services are offered through the Internet by networked universities to potentially millions in the world. These services are derived from existing/emerging business operation processes and commonly offered through a web interface, combined with other services such as email and ftp services, to support partial/full business processes. We identify the requirements for a generic portal framework for easy integration of existing expertise and services of individual institutions (enterprises). We examine the existing technologies and standards, and point out the gaps to be filled in designing the architecture of the framework

Personalised e-learning, semantic web and learning ontologies

Kurzel(2004) points out that researchers in e-learning and educational technologists, in a quest to provide improved Learning Environments (LE) for students are focusing on personalising the experience through a Learning Management System (LMS) that attempts to tailor the LE to the individual (see amongst others Eklund & Brusilovsky, 1998; Kurzel, Slay, & Hagenus, 2003; Martinez,2000; Sampson, Karagiannidis, & Kinshuk, 2002; Voigt & Swatman; 2003). According to Kurzel (2004) this tailoring can have an impact on content and how it’s accessed; the media forms used; method of instruction employed and the learning styles supported. This project is aiming to move personalisation forward to the next generation, by tackling the issue of Personalised e-Learning platforms as pre-requisites for building and generating individualised learning solutions. The proposed development is to create an e-learning platform with personalisation built-in. This personalisation is proposed to be set from different levels of within the system starting from being guided by the information that the user inputs into the system down to the lower level of being set using information inferred by the system’s processing engine. This paper will discuss some of our early work and ideas.

Semantic web and e-learning

With emergence of "Semantic Web" there has been much discussion about the impact of technologies such as XML and RDF on the way we use the Web for developing e-learning applications and perhaps more importantly on how we can personalise these applications. Personalisation of e-learning is viewed by many authors (see amongst others Eklund & Brusilovsky, 1998; Kurzel, Slay, & Hagenus, 2003; Martinez, 2000; Sampson, Karagiannidis, & Kinshuk, 2002; Voigt & Swatman, 2003) as the key challenge for the learning technologists. According to Kurzel (2004) the tailoring of e-learning applications can have an impact on content and how it's accesses; the media forms used; method of instruction employed and the learning styles supported. This paper will report on a research project currently underway at the eCentre in University of Greenwich which is exploring different approaches and methodologies to create an e-learning platform with personalisation built-in. This personalisation is proposed to be set from different levels of within the system starting from being guided by the information that the user inputs into the system down to the lower level of being set using information inferred by the system's processing engine.

'Re-using an existing wheel' developing data architecture for cooperating autonomous and semi-autonomous, agent-based web services

This short position paper considers issues in developing Data Architecture for the Internet of Things (IoT) through the medium of an exemplar project, Domain Expertise Capture in Authoring and Development ­Environments (DECADE). A brief discussion sets the background for IoT, and the development of the ­distinction between things and computers. The paper makes a strong argument to avoid reinvention of the wheel, and to reuse approaches to distributed heterogeneous data architectures and the lessons learned from that work, and apply them to this situation. DECADE requires an autonomous recording system, ­local data storage, semi-autonomous verification model, sign-off mechanism, qualitative and ­quantitative ­analysis ­carried out when and where required through web-service architecture, based on ontology and analytic agents, with a self-maintaining ontology model. To develop this, we describe a web-service ­architecture, ­combining a distributed data warehouse, web services for analysis agents, ontology agents and a ­verification engine, with a centrally verified outcome database maintained by certifying body for qualification/­professional status.

Reasoning about orchestrations of web services using partial correctness

A service is a remote computational facility which is made available for general use by means of a wide-area network. Several types of service arise in practice: stateless services, shared state services and services with states which are customised for individual users. A service-based orchestration is a multi-threaded computation which invokes remote services in order to deliver results back to a user (publication). In this paper a means of specifying services and reasoning about the correctness of orchestrations over stateless services is presented. As web services are potentially unreliable the termination of even finite orchestrations cannot be guaranteed. For this reason a partial-correctness powerdomain approach is proposed to capture the semantics of recursive orchestrations.

Web Services and Incerta Spiriti: A Game Theoretic Approach to Uncertainty

A web-service is a remote computational facility which is made available for general use by means of the internet. An orchestration is a multi-threaded computation which invokes remote services. In this paper game theory is used to analyse the behaviour of orchestration evaluations when underlying web-services are unreliable. Uncertainty profiles are proposed as a means of defining bounds on the number of service failures that can be expected during an orchestration evaluation. An uncertainty profile describes a strategic situation that can be analyzed using a zero-sum angel-daemon game with two competing players: an angel a whose objective is to minimize damage to an orchestration and a daemon d who acts in a destructive fashion. An uncertainty profile is assessed using the value of its angel daemon game. It is shown that uncertainty profiles form a partial order which is monotonic with respect to assessment.

Normdaten im Semantic Web - Konzept für eine Ontologie der Personennamendatei (PND)

Das Ziel dieser Arbeit ist es, ein Konzept für eine Darstellung der Personennamendatei(PND) in den Sprachen Resource Description Framework (RDF), Resource DescriptionFramework Schema Language (RDFS) und Web Ontology Language (OWL) zu entwickeln. Der Prämisse des Semantic Web folgend, Daten sowohl in menschenverständlicher als auch in maschinell verarbeitbarer Form darzustellen und abzulegen, wird eine Struktur für Personendaten geschaffen. Dabei wird von der bestehenden Daten- und Struktursituation im Pica-Format ausgegangen. Die Erweiterbarkeit und Anpassbarkeit des Modells im Hinblick auf zukünftige, im Moment gegebenenfalls noch nicht absehbare Anwendungen und Strukurveränderungen, muss aber darüber hinaus gewährleistet sein. Die Modellierung orientiert sich an bestehenden Standards wie Dublin Core, Friend Of A Friend (FOAF), Functional Requirements for Bibliographic Records (FRBR), Functional Requirements for Authority Data (FRAD) und Resource Description and Access (RDA).

eLearning and Semantic Web

Semantic Web: Software agents on the Semantic Web may use commonly agreed service language, which enables co-ordination between agents and proactive delivery of learning materials in the context of actual problems. The vision is that each user has his own personalized agent that communicates with other agents.

Towards semantic web mining

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.

Semantic web mining and the representation, analysis, and evolution of web space

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: Growing numbers of researchers work on improving the results of Web Mining by exploiting semantic structures in the Web, and they use Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The second aim of this paper is to use these concepts to circumscribe what Web space is, what it represents and how it can be represented and analyzed. This is used to sketch the role that Semantic Web Mining and the software agents and human agents involved in it can play in the evolution of Web space.