7,251 research outputs found
Privacy Issues of the W3C Geolocation API
The W3C's Geolocation API may rapidly standardize the transmission of
location information on the Web, but, in dealing with such sensitive
information, it also raises serious privacy concerns. We analyze the manner and
extent to which the current W3C Geolocation API provides mechanisms to support
privacy. We propose a privacy framework for the consideration of location
information and use it to evaluate the W3C Geolocation API, both the
specification and its use in the wild, and recommend some modifications to the
API as a result of our analysis
Towards MKM in the Large: Modular Representation and Scalable Software Architecture
MKM has been defined as the quest for technologies to manage mathematical
knowledge. MKM "in the small" is well-studied, so the real problem is to scale
up to large, highly interconnected corpora: "MKM in the large". We contend that
advances in two areas are needed to reach this goal. We need representation
languages that support incremental processing of all primitive MKM operations,
and we need software architectures and implementations that implement these
operations scalably on large knowledge bases.
We present instances of both in this paper: the MMT framework for modular
theory-graphs that integrates meta-logical foundations, which forms the base of
the next OMDoc version; and TNTBase, a versioned storage system for XML-based
document formats. TNTBase becomes an MMT database by instantiating it with
special MKM operations for MMT.Comment: To appear in The 9th International Conference on Mathematical
Knowledge Management: MKM 201
Identifying Key Steps for Developing Mobile Applications and Mobile Websites for Libraries
Mobile applications and mobile websites (MAMW) represent information systems that are increasingly being developed by libraries to better serve their patrons. Due to a lack of in-house IT skills and the knowledge necessary to develop MAMW, a majority of libraries are forced to rely on external IT professionals, who may or may not help libraries meet patron needs but instead may deplete libraries’ scarce financial resources. This paper applies a system analysis and design perspective to analyze the experience and advice shared by librarians and IT professionals engaged in developing MAMW. This paper identifies key steps and precautions to take while developing MAMW for libraries. It also advises library and information science (LIS) graduate programs to equip their students with the specific skills and knowledge needed to develop and implement MAMW
BEAT: An Open-Source Web-Based Open-Science Platform
With the increased interest in computational sciences, machine learning (ML),
pattern recognition (PR) and big data, governmental agencies, academia and
manufacturers are overwhelmed by the constant influx of new algorithms and
techniques promising improved performance, generalization and robustness.
Sadly, result reproducibility is often an overlooked feature accompanying
original research publications, competitions and benchmark evaluations. The
main reasons behind such a gap arise from natural complications in research and
development in this area: the distribution of data may be a sensitive issue;
software frameworks are difficult to install and maintain; Test protocols may
involve a potentially large set of intricate steps which are difficult to
handle. Given the raising complexity of research challenges and the constant
increase in data volume, the conditions for achieving reproducible research in
the domain are also increasingly difficult to meet.
To bridge this gap, we built an open platform for research in computational
sciences related to pattern recognition and machine learning, to help on the
development, reproducibility and certification of results obtained in the
field. By making use of such a system, academic, governmental or industrial
organizations enable users to easily and socially develop processing
toolchains, re-use data, algorithms, workflows and compare results from
distinct algorithms and/or parameterizations with minimal effort. This article
presents such a platform and discusses some of its key features, uses and
limitations. We overview a currently operational prototype and provide design
insights.Comment: References to papers published on the platform incorporate
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