Towards Theory Development for Emergent E-Business Innovations

The eXtensible Business Reporting Language (XBRL) is an emerging XML-based standard which has the potential to significantly improve the efficiency and effectiveness of intra- and inter-organisational information supply chains in e-business. In this chapter, we present the case for using convergent interviews as an appropriate and efficient method for modelling factors impacting the adoption of emerging and under-researched innovations, such as XBRL. Using this method, we identify environmental, organisational, and innovation-related factors as they apply to XBRL adoption and diffusion. Contentious factors, such as the role of government organisations, XBRL education and training, and the readiness of XBRL as an innovation, and its supporting software solutions are also examined in detail. Taken together, these discussions constitute an important step towards theory development for emergent e-business innovations. Practical adoptions strategies and their implications are also discussed.

Extending Enterprise Application Integration (EAI) with Mobile and Web Services Technologies

Web Services (WS) technologies, generally built around the ubiquitous Extensible Markup Language (XML), have provided many opportunities for integrating enterprise applications. However, XML/Simple Object Access Protocol (SOAP), together with Web Services Definition Language (WSDL) and Universal Description Discovery and Integration (UDDI), form a comprehensive suite of WS technologies that have the potential to transcend beyond mere application integration within an organization, and to provide capabilities of integrating processes across multiple organizations. Currently, the WS paradigm is driven through parameters however; the paradigm shift that can result in true collaborative business requires us to consider the business paradigm in terms of policies-processes-standards. This chapter, based on experimental research carried out by the authors, demonstrates how the technologies of WS open up the doors to collaborative Enterprise Architecture Integration (EAI) and Service Oriented Architecture (SOA) resulting in Business Integration (BI). The chapter also provide a quantitative investigation based on organization’s adaptation to mobile and Web Services technologies.

A Fundamental SOA Approach to Rebuilding Enterprise Architecture for a Local Government after a Disaster

As a result of Hurricane Katrina, the destruction of property, assets, documentation, and human life in the Gulf Port has introduced a myriad of challenging issues. These issues involve human, social, government, and technological concerns. This chapter does not address the many immediate human and social concerns brought forth from a natural disaster or major terrorist attack (NDMTA); this chapter addresses a small but significant problem of re-establishing or laying the groundwork for an enterprise architecture for local government during the response phase of the disaster. Specifically, it addresses constructing a high-level data model and fundamental SOA, utilizing the remaining local assets, XML (extensible markup language), and Web services.

Analysis of Service Compatibility

In this chapter, the authors apply type-theoretic techniques to the service description and composition verification. A flexible type system is introduced for modeling instances and mappings of semi-structured data, and is demonstrated to be effective in modeling a wide range of data services, ranging from relational database queries to web services for XML. Type-theoretic analysis and verification are then reduced to the problem of type unification. Some (in)tractability results of the unification problem and the expressiveness of their proposed type system are presented in this chapter. Finally, the auhtors construct a complete unification algorithm which runs in EXP-TIME in the worst case, but runs in polynomial time for a large family of unification problems rising from practical type analysis of service compositions.

Facilitating Design of Efficient Components by Bridging Gaps between Data Model and Business Process via Analysis of Service Traits of Data

In many large-scale enterprise information system solutions, process design, data modeling and software component design are performed relatively independently by different people using various tools and methodologies. This usually leads to gaps among business process modeling, component design and data modeling. Currently, these functional or non-functional disconnections are fixed manually, which increases the complexity and decrease the efficiency and quality of development. In this chapter, a pattern-based approach is proposed to bridge the gaps with automatically generated data access components. Data access rules and patterns are applied to optimize these data access components. In addition, the authors present the design of a toolkit that automatically applies these patterns to bridge the gaps to ensure reduced development time, and higher solution quality.

Mining Association Rules from XML Documents

This chapter presents some of the existing mining techniques for extracting association rules out of XML documents in the context of rapid changes in the Web knowledge discovery area. The initiative of this study was driven by the fast emergence of XML (eXtensible Markup Language) as a standard language for representing semistructured data and as a new standard of exchanging information between different applications. The data exchanged as XML documents become richer and richer every day, so the necessity to not only store these large volumes of XML data for later use, but to mine them as well to discover interesting information has became obvious. The hidden knowledge can be used in various ways, for example, to decide on a business issue or to make predictions about future e-customer behaviour in a Web application. One type of knowledge that can be discovered in a collection of XML documents relates to association rules between parts of the document, and this chapter presents some of the top techniques for extracting them.

Consistency and Modularity in Mediated Service-Based Data Integration Solutions

A major aim of the Web service platform is the integration of existing software and information systems. Data integration is a central aspect in this context. Traditional techniques for information and data transformation are, however, not sufficient to provide flexible and automatable data integration solutions for Web service-enabled information systems. The difficulties arise from a high degree of complexity in data structures in many applications and from the additional problem of heterogeneity of data representation in applications that often cross organisational boundaries. The authors present an integration technique that embeds a declarative data transformation technique based on semantic data models as a mediator service into a Web service-oriented information system architecture. Automation through consistency-oriented semantic data models and flexibility through modular declarative data transformations are the key enablers of the approach.

Active XML Transactions

Active XML (AXML) provides an elegant platform to integrate the power of XML, Web services and Peer to Peer (P2P) paradigms by allowing (active) Web service calls to be embedded within XML documents. In this chapter, the authors present some interesting aspects encountered while investigating a transactional framework for AXML systems. They present an integrated locking protocol for the scenario where the structure of both data and transactions are nested. They show how to construct the undo operations dynamically, and outline an algorithm to compute a correct optimum undo order in the presence of nesting and parallelism. Finally, to overcome the inherent problem of peer disconnection, the authors propose an innovative solution based on ”chaining” the active peers for early detection and recovery from peer disconnection.

SEEC

With the emergence of the World Wide Web, business’ databases are increasingly being queried directly by customers. The customers may not be aware of the exact structure of the underlying data, and might have never learned a query language that enables them to issue structured queries. Some of the employees who query the databases may also not be aware of the structure of the data, but they are likely to be aware of some labels of elements containing the data. There is a need for a dual search engine that accommodates both business employees and customers. We propose in this chapter an XML search engine called SEEC, which accepts Keyword-Based queries (which can be used for answering customers’ queries) and Loosely Structured queries (which can be used for answering employees’ queries). We proposed previously a stand-alone Loosely Structured search engine called OOXSearch (Taha & Elmasri, 2007). SEEC integrates OOXSearch with a Keyword-Based search engine and uses novel search techniques. It is built on top of an XQuery search engine (Katz, 2005). SEEC was evaluated experimentally and compared with three recently proposed systems: XSEarch (Cohen & Mamou & Sagiv, 2003), Schema Free XQuery (Li & Yu & Jagadish, 2004), and XKSearch (Xu & Papakonstantinou, 2005). The results showed marked improvement.

A Comparative Study of XML Change Detection Algorithms

Change detection is an important part of version management for databases and document archives. The success of XML has recently renewed interest in change detection on trees and semi-structured data, and various algorithms have been proposed. We study different algorithms and representations of changes based on their formal definition and on experiments conducted over XML data from the Web. Our goal is to provide an evaluation of the quality of the results, the performance of the tools and, based on this, guide the users in choosing the appropriate solution for their applications.