An Open and Powerful GIS data discovery engine #OGRS2012 26th October 2012 MARTIN OUELLET (GIS ANALYST/DEVELOPER) STÉFANO BIONDO (GIS LIBRARIAN)
Roadmap/Agenda Who are we? Our situation Demo Under the hood Conclusion 2 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
What is this strange accent? 3 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
Centre GéoStat = Laval University Library service Books, statistics, maps, atlas, geospatial data 30 000 geospatial datasets (over 10 To) Teachers, students and researchers across the campus Goal: Facilitate the discovery and the access for education and research 4 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
What Big Data mean for us? Dataset obtainable for very low cost Crawling under Tons of hard drive Exhausted GIS librarian THE ECONOMIST. The data deluge . February 2010. 5 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
Datasets Disciplinary Formats (download stat. between 2002-2010) 6 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
The Old Stuff (2005 - today) Delivering data in 2 formats only Aging technology (ArcIMS) No search engine No preview mode No basemap 7 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
The new platform 8 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
Under the hood 9 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
1. Semantic « Auto Complete » Using a thesaurus to benefit from the semantic network ( ) Using fast indexing technology( ) 10 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
Using a thesaurus Répertoire de Vedettes-Matière 273 000 subjects Semantic network R i v i è r e s Local thesaurus Cours d’eau 11 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
Bonified search process ISO19115 / 19139 (XML) … Metadata < title > Hydrographie (linéaire) </ title > Profil ULaval < abstrac t> L'hydrographie est une délimitation des eaux... </ abstract > < keywords > < keyword > cours d’eau </ keyword > < keyword > … </ keyword > Profil N-A </ keywords > … Save Edition Catalog Search Client BD RVM ex: cours d’eau, rivers, potamologie c ours d’eau BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL 12
2. Accurate spatial filter BoundingBox Multipolygon 13 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
2. Accurate spatial filter BoundingBox Multipolygon 14 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
ConvexHull ConcaveHull Version >= 1.5 Version >= 2.0 Point ( ST_ConvexHull ) ( ST_ConcaveHull ) Line <GML /> Polygon 15 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
XML Encoding Stay ISO19115/39 compliant <gmd:geographicElement> <gmd:geographicElement> <gmd:EX_GeographicBoundingBox> <gmd:EX_BoundingPolygon> <gmd:westBoundLongitude> -79.750006 </gmd:westBoundLongitude> <GML /> <gmd:eastBoundLongitude> -56.999994 </gmd:eastBoundLongitude> <gmd:southBoundLatitude> 44.874996 </gmd:southBoundLatitude> <gmd:northBoundLatitude> 52.250003 </gmd:northBoundLatitude> </gmd:EX_GeographicBoundingBox> </gmd:EX_BoundingPolygon> </gmd:geographicElement> </gmd:geographicElement> 16 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
3. Using facets to drill down fast 17 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
Lessons Learned To conclude focus more on discovering than viewing metadata is crucial the user should find data in 3 actions (by entering text in the search box or by filtering (map or facet) or less 18 BIBLIOTHÈQUE DE L'UNIVERSITÉ LAVAL
Thank you! Martin.Ouellet@bibl.ulaval.ca Stefano.Biondo@bibl.ulaval.ca Questions ? geoindex-plus.bibl.ulaval.ca
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