2,917 research outputs found
Lost in translation: data integration tools meet the Semantic Web (experiences from the Ondex project)
More information is now being published in machine processable form on the
web and, as de-facto distributed knowledge bases are materializing, partly
encouraged by the vision of the Semantic Web, the focus is shifting from the
publication of this information to its consumption. Platforms for data
integration, visualization and analysis that are based on a graph
representation of information appear first candidates to be consumers of
web-based information that is readily expressible as graphs. The question is
whether the adoption of these platforms to information available on the
Semantic Web requires some adaptation of their data structures and semantics.
Ondex is a network-based data integration, analysis and visualization platform
which has been developed in a Life Sciences context. A number of features,
including semantic annotation via ontologies and an attention to provenance and
evidence, make this an ideal candidate to consume Semantic Web information, as
well as a prototype for the application of network analysis tools in this
context. By analyzing the Ondex data structure and its usage, we have found a
set of discrepancies and errors arising from the semantic mismatch between a
procedural approach to network analysis and the implications of a web-based
representation of information. We report in the paper on the simple methodology
that we have adopted to conduct such analysis, and on issues that we have found
which may be relevant for a range of similar platformsComment: Presented at DEIT, Data Engineering and Internet Technology, 2011
IEEE: CFP1113L-CD
Long-Term Preservation of Digital Records, Part I: A Theoretical Basis
The Information Revolution is making preservation of digital records an urgent issue. Archivists have grappled with the question of how to achieve this for about 15 years. We focus on limitations to preservation, identifying precisely what can be preserved and what cannot. Our answer comes from the philosophical theory of knowledge, especially its discussion about the limits of what can be communicated.
Philosophers have taught that answers to critical questions have been obscured by "failure to understand the logic of our language". We can clarify difficulties by paying extremely close attention to the meaning of words such as 'knowledge', 'information', 'the original', and 'dynamic'.
What is valuable in transmitted and stored messages, and what should be preserved, is an abstraction, the pattern inherent in each transmitted and stored digital record. This answer has, in fact, been lurking just below the surface of archival literature.
To make progress, archivists must collaborate with software engineers. Understanding perspectives across disciplinary boundaries will be needed.
A Computational Design Pipeline to Fabricate Sensing Network Physicalizations
Interaction is critical for data analysis and sensemaking. However, designing
interactive physicalizations is challenging as it requires cross-disciplinary
knowledge in visualization, fabrication, and electronics. Interactive
physicalizations are typically produced in an unstructured manner, resulting in
unique solutions for a specific dataset, problem, or interaction that cannot be
easily extended or adapted to new scenarios or future physicalizations. To
mitigate these challenges, we introduce a computational design pipeline to 3D
print network physicalizations with integrated sensing capabilities. Networks
are ubiquitous, yet their complex geometry also requires significant
engineering considerations to provide intuitive, effective interactions for
exploration. Using our pipeline, designers can readily produce network
physicalizations supporting selection-the most critical atomic operation for
interaction-by touch through capacitive sensing and computational inference.
Our computational design pipeline introduces a new design paradigm by
concurrently considering the form and interactivity of a physicalization into
one cohesive fabrication workflow. We evaluate our approach using (i)
computational evaluations, (ii) three usage scenarios focusing on general
visualization tasks, and (iii) expert interviews. The design paradigm
introduced by our pipeline can lower barriers to physicalization research,
creation, and adoption.Comment: 11 pages, 8 figures; to be published in Proceedings of IEEE VIS 202
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Intelligent decision support for maintenance: an overview and future trends
The changing nature of manufacturing, in recent years, is evident in industry’s willingness to adopt network-connected intelligent machines in their factory development plans. A number of joint corporate/government initiatives also describe and encourage the adoption of Artificial Intelligence (AI) in the operation and management of production lines. Machine learning will have a significant role to play in the delivery of automated and intelligently supported maintenance decision-making systems. While e-maintenance practice provides aframework for internet-connected operation of maintenance practice the advent of IoT has changed the scale of internetworking and new architectures and tools are needed. While advances in sensors and sensor fusion techniques have been significant in recent years, the possibilities brought by IoT create new challenges in the scale of data and its analysis. The development of audit trail style practice for the collection of data and the provision of acomprehensive framework for its processing, analysis and use should be avaluable contribution in addressing the new data analytics challenges for maintenance created by internet connected devices. This paper proposes that further research should be conducted into audit trail collection of maintenance data, allowing future systems to enable ‘Human in the loop’ interactions
Storytelling and social networking as tools for digital and mobile marketing of luxury fashion brands
This research intends to discover what the current strategies in digital marketing that are being carried out by brands in the luxury fashion sector are. It is intended to identify the most relevant aspects in the interaction of brands with their audiences in a digital and mobile environment, for which qualitative techniques have been used, through content analysis and in-depth interviews. We have found that, among others, the principle of "storytelling" is one of the key strategies in digital marketing, this principle is found in video marketing strategies, social media, events and exhibitions open to the public, which seek to interact with public and show its history
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