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NOMENCLA: a server to manage, display and disseminate metadata by Emile Bruneau (INSEE – France) Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Geneva, 9-11 February 2004
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A set (or a subset) of targets To build up a reference DB –classifications then tree structures and lists plus tables To consistently manage the metadata –precise process under control To link them to statistical data (eventually) To view any data and related ones –definitions or contents, links, any attributes To extract subsets perfectly sized To download structured files –XML files (uploading flagged DBs), but also Text files Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Geneva, 9-11 February 2004
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NOMENCLA Consequences… Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Geneva, 9-11 February 2004 Management DB Dissemination BD Screen Messages Management functions: - creation, update, stopping, deletion - of tree-structures, lists and tables - on line or batch files -controls, help for consistency Working DB Reference DB Same datamodel Dissemination functions: - displaying, extraction, navigation - of photos or updates - of trees, lists, tables Exports in Text or XML: - to view or for publishing - to directly upload DBs NLP functions: - dictionaries, semantic concepts, indexes - on line searching and coding - batch coding and help to build tables semantically based download
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The core Datamodel (simplified) Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Geneva, 9-11 February 2004 Family Description Comment Sub-familyTree structureLevel Item Relation Table Definitions Explanatory notes Heading
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Navigation in the DB Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Geneva, 9-11 February 2004 Item Before After Above Below e.g. « active » e.g. « employee » Other concept Same concept e.g. « activity » e.g. « occupied »
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Navigation in the DB Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Geneva, 9-11 February 2004 Item Before After Above Below Result: a network of metadata e.g. « active » e.g. « employee » Other concept Same concept e.g. « occupied »
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Particularities No repeated textual data –descriptions, headings, explanatory notes –Recorded one time and dated links Every entities with their own validity period Relations « weighted » –a lot of options but no convergence –So, two possible ways: manual or automatic weighting –Present choice: automatic. Based on the numbers of relations Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Geneva, 9-11 February 2004
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The automatic weighting method for classifications What are the weights of the A D indirect table? with A BB CC D 1 11 0.333 1.000 11 aa 0.500 1.000aa a 1.000 0.333 1 12 0.333 1.00011 bb 0.500 0.500bb a 1.000 0.333 1 20 0.333 0.50012 bb 0.500 0.500cc a 0.500 0.333 2 20 1.000 0.50012 cc 0.500 1.000cc b 0.500 1.000 3 31 0.333 1.00020 dd 1.000 0.333dd c 1.000 0.500 3 32 0.333 1.00031 dd 1.000 0.333ee c 1.000 0.500 3 33 0.333 1.00032 dd 0.500 0.333 32 ee 0.500 0.500 33 ee 1.000 0.500 A B (direct table) 111 112 120 2 20 3 31 3 32 3 33 A B (calculated weights) 111 0.333 1.000 112 0.333 1.000 120 0.333 0.500 2 20 1.000 0.500 3 31 0.333 1.000 3 32 0.333 1.000 3 33 0.333 1.000 Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Geneva, 9-11 February 2004 The system provides: A D as well the relations as the weights 1a 0.583 1.000 1b 0.083 1.000 1c 0.333 0.083 2 c 1.000 0.083 3 c 1.000 0.833 Same process with manually weighted tables
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Exchanges: the message CLASET Developed by EU statisticians and Eurostat –for tree structures, lists and correlation tables –with all the detailed attributes they can support –as well for photos (state at a date) as updates (between two dates) Already normalized in EDIFACT format Also in XML, SGML and DB –HTML for browsing –NOMENCLA choice: XML A CLASET-toolbox –to translate in any formats –to extract TXT files Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Geneva, 9-11 February 2004
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Thank you for your attention
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