2009 Fifth IEEE International Conference on e-Science

This paper presents project 'Alfalab'. Alfalab is a collaborative frame work project of the Royal Netherlands Academy of Arts and Sciences (KNAW). It explores the success and fail factors for virtual research collaboration and supporting digital infrastructure in the Humanities. It does so by delivering a virtual research environment engineered through a virtual R&D collaborative and by drawin... View full abstract»

Topic maps is a semantic technology for the integration of heterogeneous data and the convenient deployment of domain specific and semantically enriched Web portals. Topic maps is already widely in productive usage in industry and administration. We demonstrate with six projects the current usage and the opportunities of topic maps in the eHumanities. The projects are CeDECA from University of Pav... View full abstract»

Linking up two projects that are dedicated to facilitate the work of documentary scholars, this paper presents image processing algorithms tailored to the study of ancient documents and how they have been made available to the users through a portal that calls upon a web-service exploiting grid computational power. To that end, image processing algorithms were wrapped to fit into the National Grid... View full abstract»

CLAROS (Classical Art Research Online Services; www.clarosweb.org) is an international interdisciplinary research initiative led by the University of Oxford (Humanities and Mathematics and Physical Sciences), hosted by the Oxford e-Research Centre (OeRC, www.oerc.ox.ac.uk), and inspired by the Beazley Archive (www.beazley.ox.ac.uk) participating in EU R&D projects. During 2009, a pump-priming ... View full abstract»

The research reported in this paper is part of the activities carried out within the CLARIN (common language resources and technology infrastructure) project, a large-scale pan-European project to create, coordinate and make language resources and technologies (LRT) available and readily useable. CLARIN is devoted to the creation of a persistent and stable infrastructure serving the needs of the E... View full abstract»

Ancient documents represent a primary source for research in the humanities. A substantial body of digital material has evolved containing information about these documents. Unfortunately these digital resources are often held within myriad locations, owned by a range of groups or individuals, are held within a diverse range of formats and are either unavailable or are available only in isolation.... View full abstract»

Interactive multimedia and human-computer interaction technologies are effecting and contributing towards a wide range of developments in many different subject areas including contemporary performing arts. These technologies have facilitated the developments and advancements of augmented and virtual instruments for interactive music performance, interactive installation, many aspects of technolog... View full abstract»

The project described here may be seen as a continuation of an earlier project, SweDia 2000, aimed at transforming the database collected in that project to a full-fledged e-science database. The database consists of recordings of Swedish dialects from 107 locations in Sweden and Swedish speaking parts of Finland. The goal of the present project is to make the material searchable in a flexible and... View full abstract»

Behavioural interventions packages of advice and support for behaviour change are one of the most important methodologies and technologies employed by social scientists for understanding and changing behaviour. A typical web-based behavioural intervention study includes the designing, deploying, piloting and trialling of the intervention as well as data analysis. We have developed a research envir... View full abstract»

A phylogenetic or evolutionary tree is constructed from a set of species or DNA sequences and depicts the relatedness between the sequences. Predictions of future sequences in a phylogenetic tree are important for a variety of applications including drug discovery, pharmaceutical research and disease control. In this work, we predict future DNA sequences in a phylogenetic tree using cellular autom... View full abstract»

The massive data sets produced by the high- throughput, multidimensional mass spectrometry instruments used in proteomics create challenges in data acquisition, storage and analysis. Data compression can help mitigate some of these problems but at the cost of less efficient data access, which directly impacts the computational time of data analysis. We have developed a compression methodology that... View full abstract»

With the emergence of multiple cloud providers of Infrastructure-as-a-Service, it becomes possible to envision a near-future when high-performance computing users could combine services from different clouds to access huge numbers of resources. However, as more administrative privileges are exposed to end users, providers are required to deploy network security measures that present challenges to ... View full abstract»

Complex networks from domains like Biology or Sociology are present in many e-Science data sets. Dealing with networks can often form a workflow bottleneck as several related algorithms are computationally hard. One example is detecting characteristic patterns or "network motifs" - a problem involving subgraph mining and graph isomorphism. This paper provides a review and runtime comparison of cur... View full abstract»

Independent, greedy collection of data events using simple heuristics results in massive over-sampling of the prominent data features in large-scale studies over what should be achievable through ¿intelligent", online acquisition of such data. As a result, data generated are more aptly described as a collection of a large number of small experiments rather than a true large-scale experiment. Neve... View full abstract»

Image analysis researchers would benefit considerably by sharing and reusing image processing algorithms. We consider some of the issues that researchers face in trying to provide algorithms in a shareable and reusable form illustrating our approach in the context of medical imaging needs and workflow for colorectal cancer. We consider the use of workflow as a model for developing and reusing comp... View full abstract»

Accessing, running and sharing applications and data presents researchers with many challenges. Cloud computing and social networking technologies have the potential to simplify or eliminate many of these challenges. Cloud computing technologies can provide scientists with transparent and on-demand access to applications served over the Internet in a dynamic and scalable manner. Social networking ... View full abstract»

The COastal and Marine Perception Application for Scientific Scholarship (COMPASS) is a knowledge infrastructure that supports enhanced discovery of scientific resources, including publications, data sets and web services. It provides users with the ability to discover resources on the basis of domain knowledge using ontologies, and scientific knowledge, including the scientific models, theories a... View full abstract»