5,674 research outputs found
Some thoughts on the importance of open source and open access for emerging digital scholarship
Both the open source and the open access movements have their roots in the ‘hard’ sciences rather than in the social Sciences and Humanities (SSH). They have been concerned, traditionally, with open access to source code for computational data processing and with open access to scienti?c information published as journal articles. Still, the basic assumption of the present contribution is that there is a specific open source and open access agenda within the SSH and that this may affect these disciplines—once such an agenda is fully in place — in a way hardly conceivable in the ‘hard’ sciences. However, understanding the full impact and potential of such approaches in the SSH requires reflection upon broader methodological issues. Two vectors or primary oppositions are of specific interest in this respect: the scholarly information continuum as a whole and its evolution from print based to electronic working paradigms and the revolutionary changes that can be foreseen as a consequence the speci?c difference of the SSH as opposed to the Science-TechnologyMedicine (STM) culture of relating signi?ers to signi?cates and the specific impact of the digital revolution resulting from this specific difference. Exploring these two vectors this contribution will try to indicate constituent elements of an ‘open’ agenda for the digital humanities
Hypermedia Learning Objects System - On the Way to a Semantic Educational Web
While eLearning systems become more and more popular in daily education,
available applications lack opportunities to structure, annotate and manage
their contents in a high-level fashion. General efforts to improve these
deficits are taken by initiatives to define rich meta data sets and a
semanticWeb layer. In the present paper we introduce Hylos, an online learning
system. Hylos is based on a cellular eLearning Object (ELO) information model
encapsulating meta data conforming to the LOM standard. Content management is
provisioned on this semantic meta data level and allows for variable,
dynamically adaptable access structures. Context aware multifunctional links
permit a systematic navigation depending on the learners and didactic needs,
thereby exploring the capabilities of the semantic web. Hylos is built upon the
more general Multimedia Information Repository (MIR) and the MIR adaptive
context linking environment (MIRaCLE), its linking extension. MIR is an open
system supporting the standards XML, Corba and JNDI. Hylos benefits from
manageable information structures, sophisticated access logic and high-level
authoring tools like the ELO editor responsible for the semi-manual creation of
meta data and WYSIWYG like content editing.Comment: 11 pages, 7 figure
A Multi-channel Application Framework for Customer Care Service Using Best-First Search Technique
It has become imperative to find a solution to the dissatisfaction in response by mobile
service providers when interacting with their customer care centres. Problems faced with
Human to Human Interaction (H2H) between customer care centres and their customers
include delayed response time, inconsistent solutions to questions or enquires and lack of
dedicated access channels for interaction with customer care centres in some cases.
This paper presents a framework and development techniques for a multi-channel
application providing Human to System (H2S) interaction for customer care centre of a
mobile telecommunication provider. The proposed solution is called Interactive Customer
Service Agent (ICSA). Based on single-authoring, it will provide three media of interaction
with the customer care centre of a mobile telecommunication operator: voice, phone and
web browsing. A mathematical search technique called Best-First Search to generate
accurate results in a search environmen
Mapping and Displaying Structural Transformations between XML and PDF
Documents are often marked up in XML-based tagsets to delineate major structural components such as headings, paragraphs, figure captions and so on, without much regard to their eventual displayed appearance. And yet these same abstract documents, after many transformations and 'typesetting' processes, often emerge in the popular format of Adobe PDF, either for dissemination or archiving.
Until recently PDF has been a totally display-based document representation, relying on the underlying PostScript semantics of PDF. Early versions of PDF had no mechanism for retaining any form of abstract document structure but recent releases have now introduced an internal structure tree to create the so called 'Tagged PDF'.
This paper describes the development of a plugin for Adobe Acrobat which creates a two-window display. In one window is shown an XML document original and in the other its Tagged PDF counterpart is seen, with an internal structure tree that, in some sense, matches the one seen in XML. If a component is highlighted in either window then the corresponding structured item, with any attendant text, is also highlighted in the other window.
Important applications of correctly Tagged PDF include making PDF documents reflow intelligently on small screen devices and enabling them to be read out in correct reading order, via speech synthesiser software, for the visually impaired. By tracing structure transformation from source document to destination one can implement the repair of damaged PDF structure or the adaptation of an existing structure tree to an incrementally updated document
A spiral model for adding automatic, adaptive authoring to adaptive hypermedia
At present a large amount of research exists into the design and implementation of adaptive systems. However, not many target the complex task of authoring in such systems, or their evaluation. In order to tackle these problems, we have looked into the causes of the complexity. Manual annotation has proven to be a bottleneck for authoring of adaptive hypermedia. One such solution is the reuse of automatically generated metadata. In our previous work we have proposed the integration of the generic Adaptive Hypermedia authoring environment, MOT ( My Online Teacher), and a semantic desktop environment, indexed by Beagle++. A prototype, Sesame2MOT Enricher v1, was built based upon this integration approach and evaluated. After the initial evaluations, a web-based prototype was built (web-based Sesame2MOT Enricher v2 application) and integrated in MOT v2, conforming with the findings of the first set of evaluations. This new prototype underwent another evaluation. This paper thus does a synthesis of the approach in general, the initial prototype, with its first evaluations, the improved prototype and the first results from the most recent evaluation round, following the next implementation cycle of the spiral model [Boehm, 88]
Encoding models for scholarly literature
We examine the issue of digital formats for document encoding, archiving and
publishing, through the specific example of "born-digital" scholarly journal
articles. We will begin by looking at the traditional workflow of journal
editing and publication, and how these practices have made the transition into
the online domain. We will examine the range of different file formats in which
electronic articles are currently stored and published. We will argue strongly
that, despite the prevalence of binary and proprietary formats such as PDF and
MS Word, XML is a far superior encoding choice for journal articles. Next, we
look at the range of XML document structures (DTDs, Schemas) which are in
common use for encoding journal articles, and consider some of their strengths
and weaknesses. We will suggest that, despite the existence of specialized
schemas intended specifically for journal articles (such as NLM), and more
broadly-used publication-oriented schemas such as DocBook, there are strong
arguments in favour of developing a subset or customization of the Text
Encoding Initiative (TEI) schema for the purpose of journal-article encoding;
TEI is already in use in a number of journal publication projects, and the
scale and precision of the TEI tagset makes it particularly appropriate for
encoding scholarly articles. We will outline the document structure of a
TEI-encoded journal article, and look in detail at suggested markup patterns
for specific features of journal articles
Authoring courses with rich adaptive sequencing for IMS learning design
This paper describes the process of translating an adaptive sequencing strategy designed using Sequencing Graphs to the semantics of IMS Learning Design. The relevance of this contribution is twofold. First, it combines the expressive power and flexibility of Sequencing Graphs, and the interoperability capabilities of IMS. Second, it shows some important limitations of IMS specifications (focusing on Learning Design) for the sequencing of learning activities
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