Designing websites with eXtensible web (xWeb) methodology

Today, eXtensible Markup Language (XML) is fast emerging as the dominant standard for storing, describing, representing and interchanging data among various enterprises systems and databases in the context of complex web enterprises information systems (EIS). Conversely, for web EIS (such as e-commerce and portals) to be successful, it is important to apply a high level, model driven solutions and meta-data vocabularies to design and implementation techniques that are capable of handling heterogonous schemas and documents. For this, we need a methodology that provides a higher level of abstraction of the domain in question with rigorously defined standards that are to be more widely understood by all stakeholders of the system. To-date, UML has proven itself as the language of choice for modeling EIS using OO techniques. With the introduction of XML Schema, which provides rich facilities for constraining and defining enterprise XML content, the combination of UML and XML technologies provide a good platform (and the flexibility) for modeling, designing and representing complex enterprise contents for building successful EIS. In this paper, we show how a layered view model coupled with a proven user interface analysis framework (WUiAM) is utilized in providing architectural construct and abstract website model (called eXtensible Web, xWeb), to model, design and implement simple, user-centred, collaborative websites at varying levels of abstraction. The uniqueness xWeb is that the model data (web user interface definitions, website data descriptions and constraints) and the web content are captured and represented at the conceptual level using views (one model) and can be deployed (multiple platform specific models) using one or more implementation models

Disjunctively incomplete information in relational databases: modeling and related issues

In this dissertation, the issues related to the information incompleteness in relational databases are explored. In general, this dissertation can be divided into two parts. The first part extends the relational natural join operator and the update operations of insertion and deletion to I-tables, an extended relational model representing inclusively indefinite and maybe information, in a semantically correct manner. Rudimentary or naive algorithms for computing natural joins on I-tables require an exponential number of pair-up operations and block accesses proportional to the size of I-tables due to the combinatorial nature of natural joins on I-tables. Thus, the problem becomes intractable for large I-tables. An algorithm for computing natural joins under the extended model which reduces the number of pair-up operations to a linear order of complexity in general and in the worst case to a polynomial order of complexity with respect to the size of I-tables is proposed in this dissertation. In addition, this algorithm also reduces the number of block accesses to a linear order of complexity with respect to the size of I-tables;The second part is related to the modeling aspect of incomplete databases. An extended relational model, called E-table, is proposed. E-table is capable of representing exclusively disjunctive information. That is, disjunctions of the form P[subscript]1\mid P[subscript]2\mid·s\mid P[subscript]n, where ǁ denotes a generalized logical exclusive or indicating that exactly one of the P[subscript]i\u27s can be true. The information content of an E-table is precisely defined and relational operators of selection, projection, difference, union, intersection, and cartisian product are extended to E-tables in a semantically correct manner. Conditions under which redundancies could arise due to the presence of exclusively disjunctive information are characterized and the procedure for resolving redundancies is presented;Finally, this dissertation is concluded with discussions on the directions for further research in the area of incomplete information modeling. In particular, a sketch of a relational model, IE-table (Inclusive and Exclusive table), for representing both inclusively and exclusively disjunctive information is provided

Issues in developing e-health systems: an Australian case study

Over the last few years, perceptions of the importance of eHealth have increased rapidly, together with the use of IS&amp;T in the delivery of health and social services. Although &ldquo;e&rdquo; approaches to health and social services have much potential, they are not panaceas, and the use of new technologies in improving the efficiency and effectiveness of such systems cannot be considered in isolation from their wider context. eHealth systems remain complex socio-organisational systems and, as we will argue and illustrate through this case study, require that a balanced approach to feasibility and desirability analysis be taken.The case study in this paper describes a feasibility study into the potential effectiveness of a smartdevice-based electronic data collection and payment system which was proposed for the provision of disability services. A key finding of the study was that the most significant impediment to such a system was the highly diffused, fragmented, interlocking organisational structure of the social service administration itself. Rather than raise issues specific to the implementation or diffusion of new technologies in designing e-health services, it raised issues associated with decision making and control in such an environment, and with the design of the underlying organisational system: for service provision, the level of detail required in the service data, and the locus of decision-making power among the stakeholders.In our account we illustrate the existence of multiple, incommensurate but valid perceptions of the human service provision problem, and discuss the implications for developers or managers of information systems in the arena of e-health or governance. We examine this environment from sociological and information systems perspectives, and confirm the usefulness of socio-organisational approaches in understanding such contexts.<br /

Databases Lie! Successfully Managing Structured Data, the Oft-Overlooked ESI

Legal professionals regularly advise clients to ensure that the storage, retention, and accessibility of their Electronically-Stored Information (“ESI”) is in full compliance with all legal and regulatory requirements in the event this information becomes relevant in civil, criminal, or regulatory disputes. However, what many practitioners may not realize is that the ESI that clients are required to produce for e- discovery includes both “unstructured” and “structured” data. Searching and producing only one of these types of ESI may well not fully satisfy a client’s full discovery obligations. Even worse, it might not present a full understanding of the factual issues in the matter and how to best prove them to the legal team

SEON: a pyramid of ontologies for software evolution and its applications

The Semantic Web provides a standardized, well-established framework to define and work with ontologies. It is especially apt for machine processing. However, researchers in the field of software evolution have not really taken advantage of that so far. In this paper, we address the potential of representing software evolution knowledge with ontologies and Semantic Web technology, such as Linked Data and automated reasoning. We present Seon, a pyramid of ontologies for software evolution, which describes stakeholders, their activities, artifacts they create, and the relations among all of them. We show the use of evolution-specific ontologies for establishing a shared taxonomy of software analysis services, for defining extensible meta-models, for explicitly describing relationships among artifacts, and for linking data such as code structures, issues (change requests), bugs, and basically any changes made to a system over time. For validation, we discuss three different approaches, which are backed by Seon and enable semantically enriched software evolution analysis. These techniques have been fully implemented as tools and cover software analysis with web services, a natural language query interface for developers, and large-scale software visualizatio

Computer tools for systems engineering at LaRC

The Systems Engineering Office (SEO) has been established to provide life cycle systems engineering support to Langley research Center projects. over the last two years, the computing market has been reviewed for tools which could enhance the effectiveness and efficiency of activities directed towards this mission. A group of interrelated applications have been procured, or are under development including a requirements management tool, a system design and simulation tool, and project and engineering data base. This paper will review the current configuration of these tools and provide information on future milestones and directions

SEPEC conference proceedings: Hypermedia and Information Reconstruction. Aerospace applications and research directions. Addendum

The papers presented at the conference on hypermedia and information reconstruction are compiled. The following subject areas are covered: hypertext, typographic man, and the notion of literacy; a knowledge base browser using hypermedia; Ai GERM - a logic programming front end for GERM; and HEAVENS system for software artifacts

Lexical typology through similarity semantics: Toward a semantic map of motion verbs

This paper discusses a multidimensional probabilistic semantic map of lexical motion verb stems based on data collected from parallel texts (viz. translations of the Gospel according to Mark) for 100 languages from all continents. The crosslinguistic diversity of lexical semantics in motion verbs is illustrated in detail for the domain of `go', `come', and `arrive' type contexts. It is argued that the theoretical bases underlying probabilistic semantic maps from exemplar data are the isomorphism hypothesis (given any two meanings and their corresponding forms in any particular language, more similar meanings are more likely to be expressed by the same form in any language), similarity semantics (similarity is more basic than identity), and exemplar semantics (exemplar meaning is more fundamental than abstract concepts)