Fixed links

Author: FranckCo

2019/program.html

@@ -118,9 +118,9 @@ <h2 property="schema:name">Program</h2>
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                 <li><strong>10:10-10:50</strong>: <strong>Research Papers</strong>
                   <ul>
-                    <li>10:10-10:30: Jim McCusker, Michel Dumontier, Shruthi Chari, Joanne Luciano and Deborah McGuinness. <i><a href="ceur/ceur-ws/article-4.pdf">A Linked Data Representation for Summary Statistics and Grouping Criteria</a></i> (<a href="slides/mccusker-summary-statistics.pdf">slides</a>) 
+                    <li>10:10-10:30: Jim McCusker, Michel Dumontier, Shruthi Chari, Joanne Luciano and Deborah McGuinness. <i><a href="ceur/ceur-ws/article-04.pdf">A Linked Data Representation for Summary Statistics and Grouping Criteria</a></i> (<a href="slides/mccusker-summary-statistics.pdf">slides</a>) 
                     </li>
-                    <li>10:30-10:50: Alexander New, Miao Qi, Shruthi Chari, Sabbir M. Rashid, Oshani Seneviratne, Jim McCusker, John S. Erickson, Deborah L. McGuinness and Kristin P. Bennett. <i><a href="ceur/ceur-ws/article-5.pdf">Automating Population Health Studies through Semantics and Statistics</a></i> (<a href="slides/mccusker-sta.pdf">slides</a>)
+                    <li>10:30-10:50: Alexander New, Miao Qi, Shruthi Chari, Sabbir M. Rashid, Oshani Seneviratne, Jim McCusker, John S. Erickson, Deborah L. McGuinness and Kristin P. Bennett. <i><a href="ceur/ceur-ws/article-05.pdf">Automating Population Health Studies through Semantics and Statistics</a></i> (<a href="slides/mccusker-sta.pdf">slides</a>)
                     </li>
                   </ul>
                 </li>
@@ -152,7 +152,7 @@ <h2 property="schema:name">Program</h2>
                             <td>Summary</td><td>Governments increasingly need more targeted information solutions to assist decision-making in difficult areas of policy formulation, service delivery, regulatory compliance, and infrastructure investment. However, there are two significant challenges to meet. The first is that almost all of the important and enduring problems now confronting governments arise from the dynamics of complex economic, social and environmental systems that are deeply interconnected at a regional, national and global level. Such problems are notoriously difficult to isolate, decompose and objectively specify. The second challenge is that diverse data sources – including those associated with Internet-mediated digital connectivity and interaction – need to be brought together to create a dynamic and purpose-specific evidence base.<br/>In this talk, Ric will outline innovative work in the Australian Bureau of Statistics (ABS) to build next generation analytical capability on the use of knowledge graphs and relational machine learning. This approach will be illustrated through a discussion of four interconnected policy themes – export success, job creation, a skilled workforce, and social welfare – that emerge from what is essentially a single complex system of systems, and so reflect distinct but correlated sets of concerns for government.</td>
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-                            <td>Speaker</td><td><img src="../media/images/claire-stent.jpg" width="125" height="125"/>&nbsp;&nbsp;Ric Clarke (Australian Bureau of Statistics)</td>
+                            <td>Speaker</td><td><img src="../media/images/ric-clarke.jpg" width="125" height="125"/>&nbsp;&nbsp;Ric Clarke (Australian Bureau of Statistics)</td>
                         </tr>
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                             <td>Bio</td><td>Ric Clarke is the Director of Machine Intelligence and Novel Data Sources (MINDS) in the Australian Bureau of Statistics (ABS), where he leads a multidisciplinary research and development team in advancing the use of new methods, technologies and data sources in official statistics. Ric has over 20 years of public sector work experience in a range of technical and business roles: data science, systems development and support, strategic planning, program management, enterprise architecture, and client relations. Originally a theoretical physicist, Ric also has postgraduate qualifications in computer science.</td>
@@ -161,15 +161,15 @@ <h2 property="schema:name">Program</h2>
                 </li>
                 <li><strong>14:40-15:20</strong>: <strong>SemStats 2019 Challenge</strong>
                     <ul>
-                        <li>Shady Abd El Kader, Nikolay Nikolov, Bjørn Marius Von Zernichow, Vincenzo Cutrona, Matteo Palmonari, Brian Elvesæter, Ahmet Soylu and Dumitru Roman. <i><a href="ceur/ceur-ws/article-6.pdf">Modeling and Publishing French Business Register (Sirene) Data as Linked Data using the euBusinessGraph Ontology</a></i> (<a href="slides/cutrona-challenge-eubusinessgraph.pdf">slides</a>)</li>
-                        <li>Thibault Ehrhart and Raphaël Troncy. <i><a href="ceur/ceur-ws/article-7.pdf">EURECOM @ SemStats 2019</a></i> (<a href="slides/troncy-challenge-eurecom.pdf">slides</a>)</li>
+                        <li>Shady Abd El Kader, Nikolay Nikolov, Bjørn Marius Von Zernichow, Vincenzo Cutrona, Matteo Palmonari, Brian Elvesæter, Ahmet Soylu and Dumitru Roman. <i><a href="ceur/ceur-ws/article-06.pdf">Modeling and Publishing French Business Register (Sirene) Data as Linked Data using the euBusinessGraph Ontology</a></i> (<a href="slides/cutrona-challenge-eubusinessgraph.pdf">slides</a>)</li>
+                        <li>Thibault Ehrhart and Raphaël Troncy. <i><a href="ceur/ceur-ws/article-07.pdf">EURECOM @ SemStats 2019</a></i> (<a href="slides/troncy-challenge-eurecom.pdf">slides</a>)</li>
                     </ul>
                 </li>
                 <li><strong>15:20-16:00</strong>: <strong>Coffee Break</strong></li>
                 <li><strong>16:00-16:40</strong>: <strong>Research Papers</strong>
                   <ul>
-                    <li>16:00-16:20: Franck Cotton, Guillaume Duffes and Flavio Rizzolo. <i><a href="ceur/ceur-ws/article-8.pdf">Using PROV-O to represent lineage in statistical processes: a record linkage example</a></i> (<a href="slides/cotton-PROV-O-linkage.pdf">slides</a>)</li>
-                    <li>16:20-16:40: Dimitris Zeginis, Evangelos Kalampokis and Konstantinos Tarabanis. <i><a href="ceur/ceur-ws/article-9.pdf">Statistical Challenges Towards a Semantic Model for Precision Agriculture and Precision Livestock Farming</a></i> (<a href="slides/kalampokis-CYBELE.pdf">slides</a>)</li>
+                    <li>16:00-16:20: Franck Cotton, Guillaume Duffes and Flavio Rizzolo. <i><a href="ceur/ceur-ws/article-08.pdf">Using PROV-O to represent lineage in statistical processes: a record linkage example</a></i> (<a href="slides/cotton-PROV-O-linkage.pdf">slides</a>)</li>
+                    <li>16:20-16:40: Dimitris Zeginis, Evangelos Kalampokis and Konstantinos Tarabanis. <i><a href="ceur/ceur-ws/article-09.pdf">Statistical Challenges Towards a Semantic Model for Precision Agriculture and Precision Livestock Farming</a></i> (<a href="slides/kalampokis-CYBELE.pdf">slides</a>)</li>
                   </ul>
                 </li>
                 <li><strong>16:40-17:20</strong>: <strong>Awards and Next Steps</strong></li>