Marcel Martin

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Marcel Martin is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Publishing statistical data on the web Cube Viz
Data cube
Linked data
OLAP
Onto Wiki
RDF
Statistical data
Visualisation
Proceedings - IEEE 6th International Conference on Semantic Computing, ICSC 2012 English 2012 Statistical data is one of the most important sources of information, relevant for large numbers of stakeholders in the governmental, scientific and business domains alike. In this article, we overview how statistical data can be managed on the Web. With OLAP2 Data Cube and CSV2 Data Cube we present two complementary approaches on how to extract and publish statistical data. We also discuss the linking, repair and the visualization of statistical data. As a comprehensive use case, we report on the extraction and publishing on the Web of statistical data describing 10 years of life in Brazil. 0 0
The SEQanswers wiki: A wiki database of tools for high-throughput sequencing analysis Nucleic Acids Research English 2012 Recent advances in sequencing technology have created unprecedented opportunities for biological research. However, the increasing throughput of these technologies has created many challenges for data management and analysis. As the demand for sophisticated analyses increases, the development time of software and algorithms is outpacing the speed of traditional publication. As technologies continue to be developed, methods change rapidly, making publications less relevant for users. The SEQanswers wiki (SEQwiki) is a wiki database that is actively edited and updated by the members of the SEQanswers community (http://SEQanswers.com/). The wiki provides an extensive catalogue of tools, technologies and tutorials for highthroughput sequencing (HTS), including information about HTS service providers. It has been implemented in MediaWiki with the Semantic MediaWiki and Semantic Forms extensions to collect structured data, providing powerful navigation and reporting features. Within 2 years, the community has created pages for over 500 tools, with approximately 400 literature references and 600 web links. This collaborative effort has made SEQwiki the most comprehensive database of HTS tools anywhere on the web. The wiki includes task-focused mini-reviews of commonly used tools, and a growing collection of more than 100 HTS service providers. SEQwiki is available at: http://wiki.SEQanswers.com/. © The Author(s) 2011. Published by Oxford University Press. 0 0
The SEQanswers wiki: a wiki database of tools for high-throughput sequencing analysis English 2012 Recent advances in sequencing technology have created unprecedented opportunities for biological research. However, the increasing throughput of these technologies has created many challenges for data management and analysis. As the demand for sophisticated analyses increases, the development time of software and algorithms is outpacing the speed of traditional publication. As technologies continue to be developed, methods change rapidly, making publications less relevant for users. The SEQanswers wiki (SEQwiki) is a wiki database that is actively edited and updated by the members of the SEQanswers community (http://SEQanswers.com/). The wiki provides an extensive catalogue of tools, technologies and tutorials for high-throughput sequencing (HTS), including information about HTS service providers. It has been implemented in MediaWiki with the Semantic MediaWiki and Semantic Forms extensions to collect structured data, providing powerful navigation and reporting features. Within 2 years, the community has created pages for over 500 tools, with approximately 400 literature references and 600 web links. This collaborative effort has made SEQwiki the most comprehensive database of HTS tools anywhere on the web. The wiki includes task-focused mini-reviews of commonly used tools, and a growing collection of more than 100 HTS service providers. SEQwiki is available at: http://wiki.SEQanswers.com/. 0 0
Managing multimodal and multilingual semantic content Knowledge management
Multimodality
Semantic web
Semantic wiki
WEBIST 2011 - Proceedings of the 7th International Conference on Web Information Systems and Technologies English 2011 With the advent and increasing popularity of Semantic Wikis and the Linked Data the management of se-mantically represented knowledge became mainstream. However, certain categories of semantically enriched content, such as multimodal documents as well as multilingual textual resources are still difficult to handle. In this paper, we present a comprehensive strategy for managing the life-cycle of both multimodal and multilingual semantically enriched content. The strategy is based on extending a number of semantic knowledge management techniques such as authoring, versioning, evolution, access and exploration for semantically enriched multimodal and multilingual content. We showcase an implementation and user interface based on the semantic wiki paradigm and present a use case from the e-tourism domain. 0 0
Update strategies for DBpedia live CEUR Workshop Proceedings English 2010 Wikipedia is one of the largest public information spaces with a huge user community, which collaboratively works on the largest online encyclopedia. Their users add or edit up to 150 thousand wiki pages per day. The DBpedia project extracts RDF from Wikipedia and interlinks it with other knowledge bases. In the DBpedia live extraction mode, Wikipedia edits are instantly processed to update information in DBpedia. Due to the high number of edits and the growth of Wikipedia, the update process has to be very efficient and scalable. In this paper, we present different strategies to tackle this challenging problem and describe how we modified the DBpedia live extraction algorithm to work more efficiently. 0 0