6,547 research outputs found
Modelling data intensive web sites with OntoWeaver
This paper illustrates the OntoWeaver modelling approach, which relies on a set of comprehensive site ontologies to model all aspects of data intensive web sites and thus offers high level support for the design and development of data-intensive web sites. In particular, the OntoWeaver site
ontologies comprise two components: a site view ontology and a presentation ontology. The site view ontology provides meta-models to allow for the composition of sophisticated site views, which allow end users to navigate and manipulate the underlying domain databases. The presentation ontology abstracts the look and feel for site views and makes it possible for the visual appearance and layout to be specified at a high level of abstractio
Requirements engineering: a review and research agenda
This paper reviews the area of requirements engineering. It
outlines the key concerns to which attention should be
devoted by both practitioners, who wish to "reengineer" their
development processes, and academics, seeking intellectual
challenges. It presents an assessment of the state-of-the-art
and draws conclusions in the form of a research agenda
Requirements modelling and formal analysis using graph operations
The increasing complexity of enterprise systems requires a more advanced
analysis of the representation of services expected than is currently possible.
Consequently, the specification stage, which could be facilitated by formal
verification, becomes very important to the system life-cycle. This paper presents
a formal modelling approach, which may be used in order to better represent
the reality of the system and to verify the awaited or existing system’s properties,
taking into account the environmental characteristics. For that, we firstly propose
a formalization process based upon properties specification, and secondly we
use Conceptual Graphs operations to develop reasoning mechanisms of verifying
requirements statements. The graphic visualization of these reasoning enables us
to correctly capture the system specifications by making it easier to determine if
desired properties hold. It is applied to the field of Enterprise modelling
From Patchwork to Network: Strategies for International Intellectual Property in Flux
Laws of intellectual property define what is bought and sold on media and technology markets, notably works, trademarks, and inventions. Laws and treaties have traditionally been made and enforced by nation-states operating in a patchwork of territories. Now, the media and technology marketplace is being globalized in digital networks. The law is only beginning to respond to this change.
To analyze this process in the field of intellectual property, this Article will consider the following questions: First, how is the patchwork of national laws lagging behind new networks in this field? Second, how does the international regime of intellectual property leave these laws in conflicts relative to the emerging global marketplace? Third, what strategies are available to private parties for dealing with legal uncertainties that are emerging in the short term? Lastly, how can these strategies be coordinated in the long term
Ontological Representations of Software Patterns
This paper is based on and advocates the trend in software engineering of
extending the use of software patterns as means of structuring solutions to
software development problems (be they motivated by best practice or by company
interests and policies). The paper argues that, on the one hand, this
development requires tools for automatic organisation, retrieval and
explanation of software patterns. On the other hand, that the existence of such
tools itself will facilitate the further development and employment of patterns
in the software development process. The paper analyses existing pattern
representations and concludes that they are inadequate for the kind of
automation intended here. Adopting a standpoint similar to that taken in the
semantic web, the paper proposes that feasible solutions can be built on the
basis of ontological representations.Comment: 7 page
Teaching agents to learn: from user study to implementation
Graphical user interfaces have helped center computer use on viewing and editing, rather than on programming. Yet the need for end-user programming continues to grow. Software developers have responded to the demand with a barrage of customizable applications and operating systems. But the learning curve associated with a high level of customizability-even in GUI-based operating systems-often prevents users from easily modifying their software. Ironically, the question has become, "What is the easiest way for end users to program?" Perhaps the best way to customize a program, given current interface and software design, is for users to annotate tasks-verbally or via the keyboard-as they are executing them. Experiments have shown that users can "teach" a computer most easily by demonstrating a desired behavior. But the teaching approach raises new questions about how the system, as a learning machine, will correlate, generalize, and disambiguate a user's instructions.
To understand how best to create a system that can learn, the authors conducted an experiment in which users attempt to train an intelligent agent to edit a bibliography. Armed with the results of these experiments, the authors implemented an interactive machine learning system, which they call Configurable Instructible Machine Architecture. Designed to acquire behavior concepts from few examples, Cima keeps users informed and allows them to influence the course of learning. Programming by demonstration reduces boring, repetitive work. Perhaps the most important lesson the authors learned is the value of involving users in the design process. By testing and critiquing their design ideas, users keep the designers focused on their objective: agents that make computer-based work more productive and more enjoyable
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