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<!DOCTYPE html>
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<p>Data2Semantics provides essential semantic infrastructure for bringing e-Science to the next level. We are part of COMMIT/.</p>
<p><a class="btn btn-large btn-primary" href="#about">Learn More</a> <a class="btn btn-large btn-default" href="http://www.commit-nl.nl">COMMIT/</a></p>
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<p>Analysis, Provenance, Visualization, Publication<br/>On the fly</p>
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<p>Linkitup taps into your favourite research data repository, and enriches your datasets with links to vocabularies, registries and the Linked Data cloud</p>
<p><a class="btn btn-large btn-primary" href="#linkitup">Learn more</a></p>
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<h1 style="font-family: Audiowide;">YASGUI</h1>
<h2>Not just yet another SPARQL GUI</h2>
<p>YASGUI supports syntax highlighting & checking, SPARQL endpoint & namespace prefix autocompletion, and query persistence.</p>
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<h1>Virgil</h1>
<h2>Pharmacovigilance made easy!</h2>
<p>Virgil is a step-by-step wizard to compute disproportionality measurements for adverse events of drugs. It uses the open data from the <a href="http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Surveillance/AdverseDrugEffects/default.htm">FDA Adverse Event Reporting System</a></p>
<p><a class="btn btn-large btn-primary" href="#virgil">Learn more</a></p>
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<p style="color: #333;">Sophisticated software for presenting massive amounts of data in an intuitive way. </p>
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<p>During the COMMIT/ Community event, April 2-3 in Lunteren, the Data2Semantics team won one out of three COMMIT/ Valorization awards.</p>
<p><a class="btn btn-large btn-primary" href="http://www.data2semantics.org/2013/04/09/data2semantics-wins-commit-valorization-award/">Read post</a></p>
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<p>The LOD Laundromat provides access to all Linked Open Data (LOD) in the world. It does this by crawling the LOD cloud, and converting all its contents in a standards-compliant way (gzipped N-Triples), removing all data stains such as syntax errors, duplicates, and blank nodes.</p>
<p><a class="btn btn-default" href="http://lodlaundromat.org">Visit »</a> <a class="btn btn-primary" href="https://github.com/LOD-Laundromat" target="_blank">GitHub <img style="height: 18px;" src="img/blacktocat.png"></a></p>
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<div class="imgholder"><h1 style="padding-top: 5px; font-family: Inconsolata, typewriter;">frank</h1></div>
<p style="margin-top: -1.5em">A bash interface to the LOD Laundromat, allowing for large scale reproducible web science research on the Web of Data: the <a href="http://lodlaundromat.org/lodlab">LOD Lab</a>.</p>
<p><a class="btn btn-primary" href="https://github.com/LOD-Laundromat/Frank" target="_blank">GitHub <img style="height: 18px;" src="img/blacktocat.png"></a></p>
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<p style="margin-top: -1.5em">The current SWISH application targets primarily at collaborative exploration of data. SWISH can be combined with e.g., CQL to explore relational (SQL) databases or sparkle to explore linked data. A ClioPatria plugin adds Prolog based exploration of RDF data to ClioPatria.</p>
<p><a class="btn btn-default" href="http://swish.swi-prolog.org">Visit »</a> <a class="btn btn-primary" href="https://github.com/SWI-Prolog/swish" target="_blank">GitHub <img style="height: 18px;" src="img/blacktocat.png"></a></p>
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<!--<h2>Linkitup</h2>-->
<p>Linkitup taps into your favourite research data repository, and enriches your datasets with links to vocabularies, registries and the Linked Data cloud</p>
<p><a class="btn btn-default" href="http://linkitup.data2semantics.org">Try it out »</a></p>
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<div class="imgholder"><h1 style="padding-top: 5px; font-family: Audiowide;">YASGUI</h1></div>
<p style="margin-top: -1.5em">YASGUI is a feature packed, lightweight, web-based SPARQL client interface</p>
<p><a class="btn btn-default" href="http://yasgui.org">Try it out »</a> <a class="btn btn-default" href="http://doc.yasgui.org">Details »</a> <a class="btn btn-primary" href="https://github.com/OpenTriply/YASGUI" target="_blank">GitHub <img style="height: 18px;" src="img/blacktocat.png"></a></p>
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<!--<h2>Linkitup</h2>-->
<p>PROV-O-Viz is a <a href="http://d3js.org">D3.js</a>-based web service for visualizing PROV-O provenance trails as Sankey diagrams</p>
<p><a class="btn btn-default" href="http://provoviz.org">Visit »</a> <a class="btn btn-primary" href="https://github.com/Data2Semantics/provoviz" target="_blank">GitHub <img style="height: 18px;" src="img/blacktocat.png"></a></p>
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<div class="imgholder"><h1>Virgil</h1></div>
<p style="margin-top: -1.5em">Virgil is a step-by-step wizard to compute disproportionality measurements for adverse events of drugs. It uses the open data from the <a href="http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Surveillance/AdverseDrugEffects/default.htm">FDA Adverse Event Reporting System</a></p>
<p><a class="btn btn-primary" href="https://github.com/michielhildebrand/virgil" target="_blank">GitHub <img style="height: 18px;" src="img/blacktocat.png"></a></p>
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<div class="imgholder"><h1 style="font-family: 'Open Sans Condensed'; font-weight: 300;">PLSheet</h1></div>
<p style="margin-top: -1.5em">PLSheet is a <a href="http://www.swi-prolog.org">SWI Prolog based</a> spreadsheet dependency analysis toolkit + converter to RDF.</p>
<p><!--<a class="btn btn-default" href="#plsheet">View details »</a>--> <a class="btn btn-primary" href="https://github.com/Data2Semantics/plsheet" target="_blank">GitHub <img style="height: 18px;" src="img/blacktocat.png"></a></p>
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<div class="imgholder"><h1 style="font-family: 'Anaheim'; font-weight: 400;">RecoPROV</h1></div>
<p style="margin-top: -1.5em">RecoPROV reconstructs provenance information from collections of documents</p>
<p><!--<a class="btn btn-default" href="#recoprov">View details »</a>--><a class="btn btn-primary" href="https://bitbucket.org/saramagliacane/recoprov/" target="_blank">Bitbucket <img style="height: 18px;" src="img/bit-bucket.png"></a></p>
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<div class="imgholder"><h1 style="font-family: Inconsolata;">brwsr</h1></div>
<p style="margin-top: -1.5em">The <span style='font-family: Inconsolata;'>brwsr</a> tool is a lightweight browser for Linked Data, much akin to Pubby, but more lightweight and configurable..</p>
<p><!--<a class="btn btn-default" href="#vivobrowser">View details »</a>--> <a class="btn btn-primary" href="https://github.com/Data2Semantics/brwsr" target="_blank">GitHub <img style="height: 18px;" src="img/blacktocat.png"></a></p>
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<div class="imgholder"><img src="img/tablinker-logo-150dpi.png" style="max-width: 100%; max-height: 140px;"></div>
<p style="margin-top: -1.5em">TabLinker is experimental software for converting annotated, eccentric spreadsheets to the <a href="http://www.w3.org/TR/vocab-data-cube/">RDF Data Cube vocabulary</a>.</p>
<p><!--<a class="btn btn-default" href="#tablinker">View details »</a>--> <a class="btn btn-primary" href="https://github.com/Data2Semantics/TabLinker" target="_blank">GitHub <img style="height: 18px;" src="img/blacktocat.png"></a></p>
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<h2 id="about" class='page-header'>About</h2>
<p>Data2Semantics aims to provide essential semantic infrastructure for bringing <a class="zem_slink" title="E-Science" href="http://en.wikipedia.org/wiki/E-Science" rel="wikipedia">e-Science</a> to the next level.</p>
<p>A core task for scientific publishers is to speed up <a class="zem_slink" title="Scientific progress" href="http://en.wikipedia.org/wiki/Scientific_progress" rel="wikipedia">scientific progress</a> by improving the availability of <a class="zem_slink" title="Science" href="http://en.wikipedia.org/wiki/Science" rel="wikipedia">scientific knowledge</a>. This holds both for dissemination of results through traditional publications, as well as through the publication of <a class="zem_slink" title="Data" href="http://en.wikipedia.org/wiki/Data" rel="wikipedia">scientific data</a>. The Data2Semantics project focuses on a key problem for data management in e-Science:</p>
<div class="alert alert-info"><em>How to <strong>share</strong>, <strong>publish</strong>, <strong>access</strong>, <strong>analyse</strong>, <strong>interpret </strong>and<strong> reuse</strong> data?</em></div>
<p>Data2Semantics is a collaboration between the <a class="zem_slink" title="Vrije Universiteit" href="http://www.vu.nl/" rel="homepage">VU University Amsterdam</a>, the <a class="zem_slink" title="University of Amsterdam" href="http://www.uva.nl" rel="homepage">University of Amsterdam</a>, <a title="DANS" href="http://www.dans.knaw.nl/">Data Archiving and Networked Services (DANS)</a> of the <a class="zem_slink" title="Royal Netherlands Academy of Arts and Sciences" href="http://en.wikipedia.org/wiki/Royal_Netherlands_Academy_of_Arts_and_Sciences" rel="wikipedia">KNAW</a>, <a href="http://www.elsevier.com">Elsevier Publishing</a> and <a href="http://www.synerscope.com">Synerscope</a>, and is funded under the <a href="http://www.commit-nl.nl">COMMIT</a> programme of the <a title="Agentschap NL" href="http://www.agentschapnl.nl/en">NL Agency of the Dutch Ministry of Economic Affairs, Agriculture and Innovation</a>.</p>
<p>The discovery of new knowledge is the heart of scientific progress; the generation, support and maintenance of knowledge form the foundation of the scientific endeavour. e-Science is ultimately about discovering and sharing knowledge in the form of experimental <strong>data</strong>, theory-rich <strong>vocabularies</strong>, <strong>publications</strong> and re-usable <strong>services</strong> that are meaningful to the working scientist.</p>
<p>The complexity and abundance of data resources in an e-Science environment requires support for knowledge and metadata management: data is notoriously hard to share, find, access, interpret and reuse. This project targets <strong>scientific data publishers</strong> as primary facilitators of the e-Science process.</p>
<p>Scientists need <em>tools</em> to better understand the complexity characteristics of their data and its ability to answer scientific questions. They must be able to equip data with <em>meaning</em> and to generate a surrounding semantic <em>context</em> in which data can be meaningfully interpreted. Scientists must be given the means to make their data speak for itself, to move from data to semantics.</p>
<p>The <strong>targets</strong> of this project are to</p>
<ol>
<li>increase the ease with which scientists can <em>share</em> their datasets with others,</li>
<li>increase the ease with which scientists can <em>access</em>,<em> analyse</em> and <em>interpret</em> datasets, and thereby</li>
<li>increase the <em>reuse</em> of such datasets.</li>
</ol>
<p>To meet these targets, this project will develop a <strong>semantic infrastructure</strong> for data publishers, with facilities for finding, generating, tracing and interpreting scientific knowledge. It requires fundamental research on data complexity, knowledge acquisition, knowledge systems and services, and the development of a powerful set of tools that provides support for individual steps in the e-Science lifecycle.</p>
<p>We will collaborate closely with four COMMIT partner projects (<strong>P6</strong>, <strong>P12</strong>, <strong>P20</strong> and <strong>P26</strong>), and develop against four use case domains:</p>
<ul>
<li>Data and publications of the <strong>COMMIT</strong> programme as a whole;</li>
<li>Publishing workflow of <strong>Elsevier</strong>, one of the largest scientific publishers worldwide;</li>
<li>Humanities research data provided by <strong>DANS</strong>, the Data Archiving and Networked Services division of the Royal Academy of Sciences in the Netherlands; and</li>
<li>Usage of Linked Data infrastructure by <strong><a class="zem_slink" title="Synerscope" href="http://www.synerscope.com" rel="homepage" target="_blank">Synerscope</a></strong> for large scale interactive and responsive visualisation of data.</li>
</ul>
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<h2 class='page-header'>Partners</h2>
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