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GeoViQua WP4 Enhanced geo-search components

GeoViQua WP4 Enhanced geo-search components. S. Nativi , P. Mazzetti. February, the 17th, 2011 Barcelona. Main Objectives. To design and develop software components enabling discovery for mining and screening datasets, including quality information .

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GeoViQua WP4 Enhanced geo-search components

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  1. GeoViQua WP4Enhancedgeo-searchcomponents S. Nativi, P. Mazzetti February, the 17th, 2011 Barcelona QUAlity aware VIsualisation for the Global Earth Observation system of systems

  2. MainObjectives • To design and develop software components enabling discovery for mining and screening datasets, including quality information. • These components will be fully compliant with the GEOSS GCI Recommendations since they are conceived to contribute to the GEOSS Infrastructure. • The WP willrealize: • a quality-awarecatalogue service component(i.e. a catalogue service provider) enablingsmart search and discovery functionalities using parameters relevant to GEO products (date, scale/detail, bounding box, SBA, etc), extended to include quality information; • a client componentforqueryingthe catalogue service component.

  3. Rationale • CollectionofSources • Specification on geospatialdatasetdescription and discovery : ISO, OGC, OpenSearch, etc. • Relevanton-goinginitiatives: GEOSS, INSPIRE, GMES, FP7 Projects (UncertWeb, EuroGEOSS, etc.) • Documentation on existingopen-sourcetools: GI-cat, Lightweighttechnologylibraries

  4. Work Plan • Analysis • Design • Implementation

  5. Planning and Effort Start M11 M4.1 M18 M4.2 M24 End M33

  6. T4.1 Quality-awarecatalogue service • Objective • To design and develop a catalogue service component • Actions • Collect and analysesources: • OtherGeoViQuatasks (e.g. T6.1) • Otherrelevantprojects (e.g. UncertWeb, EuroGEOSS) • Relevantinitiatives and programmes (e.g. GEOSS, INSPIE, GMES) • Specificationsfordatasetdescription and discovery (OGC, ISO) • Existingopen-sourcetools (e.g. GI-cat) • General design ofdiscovery sub-system • Design and developmentofGI-catextensionsfor the quality-awarecatalogue service • Methodology: • Re-use/extensionofexistingspecifications and tools

  7. T4.1 PreliminaryRequirementAnalysis • Adoption of standard interfaces for discovery [CNR, 52N]: • To comply with GEOSS GCI, and other initiatives (e.g. INSPIRE, GMES, SEIS); • Addressing: • OGC CSW 2.0.2 (adopted by GEOSS Clearinghouse Catalogue and Community Catalogues); • OGC CSW/ISO profile (recognized by INSPIRE); • CSW-ebRIM/EO (recognized by GMES); • OpenSearch (Lightweight technology for discovery interoperability commonly adopted in Web 2.0) • Harvesting and distributed search functionalities [CNR]: • To comply with the GCI Recommendations. Which approach is the best depends on the characteristics of the registered catalogues (e.g. rate of update, catalogue size, etc.). • Multidisciplinarity support [CNR]: • To enable applications on all the nine GEOSS SBAs, it is necessary to support queries on multi-disciplinary catalogues. • Approach: Harmonization of metadata models. • Quality-awareness [CNR, UREAD]: • To address the GCI Recommendations • Approach: quality-aware search capabilities through the use of both metadata and semantic relationships) • Statistics of the dataset collection [CREAF]: • Some statistics for different metadata parameters of the dataset collections (e.g. number of datasets per scale, time, SBAs, quality indicators etc) could be requested and retrieved form the catalogue. “many data holders have shown a clear preference for registering their catalogue(s) of data holdings, as opposed to the actual datasets themselves. [...] However, to access the resources held in these catalogues requires the implementation of either a distributed search, or they are harvested on a recurrent basis” “The GCI should enable users to discover the declared quality of resources registered in the GEOSS, enabling them to query and filter the GCI information content quality, based on the metadata provided.”

  8. T4.1 ApproachEuroGEOSSdiscovery Broker extension • Broker-basedmediationcomponent: • Itperformsqueriesto multiple heterogeneousdiscovery/inventoryservices on behalfof a client throughAccessors • Itexposes standard interfacesthroughProfilers • All the mediationcomplexitylies in the broker, hencesimpleclients and simpleservers are supported. • Manydiscovery/inventoryservicesalreadysupported • Easilyextendedthrough the developmentofnewAccessors/Profilers Broker characteristics

  9. T4.1 ApproachBroker extension Existingfeatures MissingfeaturesforGeoViQua Supportofquality-awareness. Itrequires: Definitionofqueriablequalityparameters Definitionof a CSW profile DefinitionofanOpenSearchspecification Developmentoftwo Broker extensions: Extended CSW Profiler ExtendedOpenSearchProfiler • Supportforbothharvesting and distributedqueries • Access ofboth standard and CoPdiscovery/inventoryservices • Publishingof standard interfaces: OGC CSW and OpenSearch • Internalharmonizationofmetadatamodelsformultidisciplinaryinteroperability • Compliancewith the GEOSS GCI Recommendations • Tested/adopted in • FP7 EuroGEOSS • FP7 UncertWeb • GEOSS AIP-2, AIP-3 • ESA HMA Phase 2 • FP7 Genesi-DR • FP7 SeaDataNet

  10. T4.2 Quality-awarecatalogue client • Objective • To design and develop a catalogue client component • Actions • Collect and analysesources: • OtherGeoViQuatasks (e.g. T4.1) • Otherrelevantprojects (e.g. UncertWeb, EuroGEOSS) • Relevantinitiatives and programmes (e.g. GEOSS, INSPIRE, GMES) • Specificationsfordatasetdescription and discovery (OGC, ISO) • Existingopen-sourcetools and libraries (e.g. GI-go, AJAX libraries) • Design and developmentofquality-aware client • Methodology: • Re-use/extensionofexistingspecifications, tools and libraries

  11. T4.2 PreliminaryRequirementsAnalysis • Extended search criteria [CNR, 52N] • The client will allow to express constraints based on: • Typical geo-information parameters (e.g. the W4: Where, When, What, Who); • GEO relevant parameters (e.g. scale/detail, SBAs and categories, Access and Use Constraints), • Specific parameters for GEOSS SBAs applications (e.g. taxonomies for biodiversity); • Quality information/metadata: quality parameters will be expressed through either metadata constraints, or through relationships between dataset layers and quality layers. • Suggestions through data mining [CREAF] • Data mining will be improved form the user prospective by providing the user some graphical (e.g. bar charts) representation of the datasets available based on different metadata parameters. • Users will be able to dynamically filter the available datasets (e.g. by selecting a bar in the chart) and other graphics will be updated with the subset filtered.

  12. Milestones and Deliverables • Milestones and expectedresult • M 4.1 (M18) Prototype quality geo-search component ready to validate in pilot case studies • M 4.2 (M24) Quality geo-search components ready for validation. • Deliverables • D 4.1 (M30) Graphical search interface report [CREAF] • D 4.2 (M33) Smart searchable interface component report [CNR]

  13. Thanks QUAlity aware VIsualisation for the Global Earth Observation system of systems

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