Changeset 35012
- Timestamp:
- 2021-04-04T20:18:00+12:00 (3 years ago)
- File:
-
- 1 edited
Legend:
- Unmodified
- Added
- Removed
-
main/trunk/model-sites-dev/eurovision-lod/collect/eurovision/transform/pages/about.xsl
r34972 r35012 35 35 all began, where there were only seven countries and one 36 36 camera man!</i> 37 </p> 38 <p> 37 39 The <a href="https://eurovision.tv">Eurovision Song 38 Contest</a> is a l ive-broadcast televised multi-national40 Contest</a> is a long-running, live-broadcast televised multi-national 39 41 competition with a collaborative mission, not dissimilar 40 42 in spirit to the Olympics. … … 104 106 to the Open Source 105 107 <a href="https://www.greenstone.org">Greenstone3</a> 106 Digital Library platform. 108 Digital Library platform. For the technically interested 109 see the 110 <a href="{$library_name}/collection/{$collName}/page/about#it-all-started-with"> 111 <i style="padding-right: 6px;">It All Started with a Little <strike>Sparkle</strike>SPARQL</i></a> 112 below for details about how the digital library was formed. 107 113 </p> 108 114 109 115 <p> 110 We suggest you initially 116 For those who want to jump right in and access information about, as well as see and hear some of the past performances, 117 we suggest you 111 118 start by exploring the assembled information through 112 119 the browsing tabs, such as … … 121 128 122 129 </p> 123 124 <p> 125 If you'd like to dig into the data behind this Digital Library collection, this can be done directly 126 using the <a href="{$library_name}/collection/{$collName}/page/sparql">SPARQL Query interface</a>. 127 This is a good place to go to see what sort of data is being stored, and we provide some sample 128 queries to get you going. But if you like to see the data presented more visually, we suggest 129 you try out the <a href="{$library_name}/collection/{$collName}/page/sgvizler">SGVizler page</a>, 130 which takes things to the next level, using pie-charts, histograms and other forms of 131 visualization to present the data. 132 </p> 133 134 130 135 131 <!-- 136 132 <script type="text/javascript" src="//www.google.com/jsapi"><xsl:text> </xsl:text></script> … … 182 178 </div> 183 179 180 181 <p style="padding-top: 10px;"> 182 All the metadata in the digital library is simultaneously published an linked data, meaning it is 183 possible to extract and analyze the data contained here in a variety of ways. 184 To aid in such analysis we have also we have added in a data visualization layer to the 185 digital library. This is how the bar-graph below has been created, which shows how many 186 times each country has competed. We provide samples to give you an idea of the sorts of analysis 187 that can be done, butâmore importantlyâthese samples are editable so you 188 are free to change them however you wish, or once you're mastered the 189 query syntax, develop completely original forms of anaysis. 190 </p> 191 <p> 192 Through our 193 <a href="{$library_name}/collection/{$collName}/page/sgvizler">Vizualizer page</a> 194 you'll find a sample that shows you how often different countries have won 195 Eurovision, but what about who has lost the most often? The provided 196 sample dataflow visualization 197 of voting patterns over the last decade makes for interesting viewing, but 198 what about other time periods? 199 </p> 200 201 <div id="viz-show-more" style="margin-bottom: 10px;"> 202 <p> 203 We suggest starting with viewing sample visualizations to see what's possible, 204 and making minor edits to that to adjust what is visualized. 205 Then, if you want to start visualizing the data in a more substantially different way 206 or else export the data for more detailed analysis under your own control, 207 switch to the SPARQL Query Interface. We also provide sample queries on the 208 this page to help you get started. 209 210 <!-- 211 or else 212 213 want to produce 214 215 learn more about how to query the underlying data to 216 produce such visualizations, then you move over to the 217 218 the underlying data the visualizations are based on, 219 220 been extract 221 the underlying data 222 223 the underlying analysis 224 data, 225 --> 226 227 </p> 228 <ul> 229 <li><a href="{$library_name}/collection/{$collName}/page/sgvizler">Visualizer page</a></li> 230 231 <li><a href="{$library_name}/collection/{$collName}/page/sparql">Data Export</a> 232 </li> 233 <!-- 234 This is a good place to go to see what sort of data is being stored, and we provide some sample 235 queries to get you going. But if you like to see the data presented more visually, we suggest 236 you try out the 237 238 <li><a href="{$library_name}/collection/{$collName}/page/sgvizler">SGVizler page</a></li> 239 --> 240 </ul> 241 242 </div> 243 244 <gsf:script> 245 $('#viz-show-more').showMore({ 246 minheight: 0, 247 buttontxtmore:"show more ...", 248 buttontxtless:"... show less" 249 }); 250 </gsf:script> 251 252 <!-- 253 can transform th 254 255 —visualizing 256 257 The voting data is probably the most interesting aspect 258 voting data is particular interesting!— 259 260 , but—more importantly— 261 262 263 264 : by initiating a query 265 to the digital library through a SPARQL (pronouced Sparkle) query that retrieves all 266 the countries that have competed in the contest over the years, g 267 268 This is how the 269 270 allowing you 271 to query it directly, meaning you can query and analyse it in ways 272 273 to let you access and analyse the data 274 275 and further, we have added in a data visualization layer to the 276 digital library to aid presning the 277 278 interpretting 279 280 better understand what the data 281 282 283 To help you get started we have provided some 284 285 286 Additionally we have provided some sample 287 288 sa 289 290 to help with this we have added in a data visualization layer to the 291 digital library. Additionally we have provided some sample 292 293 The voting data is probably the most interesting aspect 294 to dig into, and 295 296 and we have 297 to dig into the data 298 299 way we source 300 301 You can also dig into the data directly 302 --> 303 304 305 <!-- 306 <p> 307 If you'd like to dig into the data behind this Digital Library collection, this can be done directly 308 using the <a href="{$library_name}/collection/{$collName}/page/sparql">SPARQL Query interface</a>. 309 This is a good place to go to see what sort of data is being stored, and we provide some sample 310 queries to get you going. But if you like to see the data presented more visually, we suggest 311 you try out the <a href="{$library_name}/collection/{$collName}/page/sgvizler">SGVizler page</a>, 312 which takes things to the next level, using pie-charts, histograms and other forms of 313 visualization to present the data. 314 </p> 315 316 --> 317 318 319 <!-- 184 320 <div style="padding-top: 6px;"> 185 321 So the above visualization show how many times each country has entered, over the years, but what about how … … 191 327 </ul> 192 328 </div> 329 --> 330 331 <h2 id="it-all-started-with">It All Started with a Little <strike>Sparkle</strike>SPARQL</h2> 332 193 333 194 334 <div id="technicaldev-turnstyle" style="margin-top: 12px;"> … … 320 460 <a href="sites/{$site_name}/collect/{$collName}/prepare/problem-lod-lists/dbpedia-problem-entrants.html">Problem Entrants (artists are string literals not IRIs)</a> 321 461 </li> 462 <li> 463 <a href="sites/{$site_name}/collect/{$collName}/prepare/problem-lod-lists/dbpedia-problem-category-in-year.html">Problem Category pages (some countries not listed in a given year despite competing)</a> 464 </li> 322 465 </ul> 323 466 </p>
Note:
See TracChangeset
for help on using the changeset viewer.
