Multi-disciplinary interoperability challenges
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- Sara Riley
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1 Seminar at UNIDATA Boulder (CO) USA, 10 Dec 2010 Multi-disciplinary interoperability challenges Stefano Nativi Italian National Research Council and PIN -University of Florence ESSILab
2 Outline System of Systems approach and principles Brokering SOA (B-SOA) EuroGEOSS Operating Capacity multi-disciplinary discovery and access brokers including semantic search; Related research topics Harmonizing netcdf-cf and ISO models -from ncml to ncml-g+ Uncertainty-enabled data (and services) ESSI Lab
3 Rationale Contribution to the following Objectives Formation and operation of an Earth system science community, based on multidisciplinary knowledge integration Develop advanced digital earth infrastructures: multi-disciplinary cyber(e)-infrastructure Interoperability across disciplines Semantic Technical Organizational European and International Initiatives EU INSPIRE (European SDI) GEO GEOSS ESSI Lab
4 INSPIRE and GEOSS approach Implement a system of systems Consisting of existing and future information systems Supplementing but not supplanting systems mandates and governance arrangements Build on existing (autonomous) capacities Mediate (standard and non-standard capacities) Interconnect (capacities) and Adapt connecting protocols Recognized multi-disciplinary capacities should provide: Metadata to describe available spatial resources Network (Access) services to discover, transform, view and download spatial resources invoke advanced processing services to support decision making ESSI Lab stefano.nativi@cnr.it
5 System of Systems principles Shift from technical interoperability towards conceptual composability by recognizing and specifying interoperability arrangements Assure a low entry barrier for both resource Users and Producers Build incrementally on existing infrastructures (information systems) and incorporate heterogeneous resources Introduce distribution and mediation functionalities (i.e. brokering frameworks) for interconnect heterogeneous resources Discovery, access, processing and chaining ESSI Lab stefano.nativi@cnr.it
6 Flexibility: different Interoperability levels Different interoperability levels -at different Infrastructures level ESSI Lab
7 Flexibility: different Interoperability levels Different interoperability levels -at different Infrastructures level Four main infrastructure types 1. Distributed Computing Infrastructure Distributed Capacity provision functionalities ESSI Lab Distributed Computing Infrastructure (s)
8 Flexibility: different Interoperability levels Different interoperability levels -at different Infrastructures level Four main infrastructure types 1. Geospatial Information Infrastructure Geospatial resources core functionalities 2. Distributed Computing Infrastructure Distributed Capacity provision functionalities Geospatial Information Infrastructure ESSI Lab Distributed Computing Infrastructure (s)
9 Flexibility: different Interoperability levels Different interoperability levels -at different Infrastructures level Four main infrastructure types 1. Thematic/Community Infrastructures SBA/CoP resources core functionalities 1. Geospatial Information Infrastructure Geospatial resources core functionalities 2. Distributed Computing Infrastructure Distributed Capacity provision functionalities Geospatial Information Infrastructure ESSI Lab Distributed Computing Infrastructure (s)
10 Flexibility: different Interoperability levels Different interoperability levels -at different Infrastructures level Four main infrastructure types 1. Thematic/Community Infrastructures SBA/CoP resources core functionalities Domain Semantics 1. Geospatial Information Infrastructure Geospatial resources core functionalities 2. Distributed Computing Infrastructure Distributed Capacity provision functionalities Geospatial Information Infrastructure ESSI Lab Distributed Computing Infrastructure (s)
11 Domain Semantics Flexibility: different Interoperability levels Different interoperability levels -at different Infrastructures level Four main infrastructure types 1. Thematic/Community Infrastructures SBA/CoP resources core functionalities 2. Digital Earth (Earth System Science) Infrastructure Earth science resources core functionalities 3. Geospatial Information Infrastructure Geospatial resources core functionalities 4. Distributed Computing Infrastructure Distributed Capacity provision functionalities Digital Earth Infrastructure Geospatial Information Infrastructure ESSI Lab Distributed Computing Infrastructure (s)
12 Flexibility: Interoperability Arrangements Interoperability Arrangements: to shift from technical interoperability towards conceptual composability They must be able to align (and where necessary to harmonize) the heterogeneous system conceptual models. connect autonomous systems at different infrastructural levels avoid tight coupling or strong integrations -only define how system components interface with each other ESSI Lab
13 Interoperability Arrangements implementation Need: to raise the level of abstraction and cope with systems complexity Solution: Adapt SOA and MDA Introduce brokering and mediation frameworks for managing resources e.g. discovery, access, processing and chaining ESSI Lab
14 Brokering SOA (B-SOA) For complex (large and heterogeneous) infrastructures, SOA archetype does not scale and is not flexible ESSI Lab
15 Brokering SOA (B-SOA) For complex (large and heterogeneous) infrastructures, SOA archetype does not scale and is not flexible Present GCI framewok Service Service Service Service Provider Provider Provider Provider Server Publish Service Registry Bind Find (Harvest) Service Consumer Client ESSI Lab
16 Brokering SOA (B-SOA) For complex (large and heterogeneous) infrastructures, SOA archetype does not scale and is not flexible Present GCI framewok Publish (tens of thousands) Service Service Service Service Provider Provider Provider Provider Server Service Registry Bind (hundreds) Find (Harvest) Service Consumer Client ESSI Lab
17 The Broker/Mediator component A Brokered-SOA proved to be more sustainable (i.e. flexible and scalable) Publish Service Registry Find A more sustainable approach (tens of thousands) Service Service Service Provider Service Provider Provider Provider Server (hundreds) Harvest Service Service Consumer Consumer Client (2-3) Service Broker(s) Mediator ESSI Lab stefano.nativi@cnr.it
18 B-SOA framework Extend the traditional SOA approach Address SoS complexity Many heterogeneous systems Flexibility to support future systems avoid tight coupling or strong integration From technical interoperability to conceptual composability Service Provider Server Publish Service Registry Harvest Service Broker Find Service Consumer Mediator Client ESSI Lab
19 Complexity to manage Cyber-Infrastructure Complexity to manage Complexity to manage ESSI Lab
20 Low Entry Barrier Cyber-Infrastructure Complexity to manage Low Entry Barrier ESSI Lab
21 Low Entry Barrier for SBAs SBAs (and CoPs) systems Remain autonomous Remain unchanged no new standard must be implemented, no new component or service must be implemented or deployed SBAs (and CoPs) may use their own standards to: describe available spatial resources publish accessible resources The multi-disciplinary infrastructure must implement all the necessary mediation and brokering functionalities to interoperate with SBA systems avoiding strong integrations Implement necessary semantic services to facilitate multi-disciplinary interoperability at the conceptual level ESSI Lab
22 Low Entry Barrier for SBAs SBAs (and CoPs) systems Remain autonomous Remain unchanged no new standard must be implemented, no new component or service must be implemented or deployed SBAs (and CoPs) may use their own standards to: describe available spatial resources publish accessible resources The multi-disciplinary infrastructure must implement all the necessary mediation and brokering functionalities to interoperate with SBA systems avoiding strong integrations Implement necessary semantic services to facilitate multi-disciplinary interoperability at the conceptual level ESSI Lab
23 The EuroGEOSS experience
24 Three Interoperability phases WP3: Forestry WP4: Biodiversity WP5: Drought I. Enable thematic interoperability & connections local to global WP6: Cost benefit analysis II. Enable multi-disciplinary interoperability WP2: Multi-disciplinary interoperability... III. Extend interoperability to other SBAs & systems GolbalSoilMap AEGOS WP7: Capacity building EuroGEOSS contribution to the Global EO SoS Krakow, 24 June 2010
25 Three Interoperability phases WP3: Forestry WP4: Biodiversity WP5: Drought I. I. Enable thematic interoperability & connections local to global WP6: Cost benefit analysis II. Enable multi-disciplinary interoperability WP2: Multi-disciplinary interoperability... III. Extend interoperability to other SBAs & systems GolbalSoilMap AEGOS WP7: Capacity building EuroGEOSS contribution to the Global EO SoS Krakow, 24 June 2010
26 Three Interoperability phases WP3: Forestry WP4: Biodiversity WP5: Drought I. Enable thematic interoperability & connections local to global WP6: Cost benefit analysis II. Enable multi-disciplinary interoperability WP2: Multi-disciplinary interoperability... III. Extend interoperability to other SBAs & systems GolbalSoilMap AEGOS WP7: Capacity building EuroGEOSS contribution to the Global EO SoS Krakow, 24 June 2010
27 Multi-disciplinary Functionalities Discover Evaluate Access Use EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
28 Multi-disciplinary Functionalities Discover Evaluate Access Use Discovery broker Augmented (semantic) Discovery Web 2.0 resources discovery EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
29 Multi-disciplinary Functionalities Discover Evaluate Access Use Discovery broker Augmented (semantic) Discovery Web 2.0 resources discovery Support to multiple clients EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
30 Multi-disciplinary Functionalities Discover Evaluate Access Use Discovery broker Augmented (semantic) Discovery Web 2.0 resources discovery Support to multiple clients Common Grid data access EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
31 Multi-disciplinary Functionalities Discover Evaluate Access Use Discovery broker Augmented (semantic) Discovery Web 2.0 resources discovery Support to multiple clients Common Grid data access To lower GCI entry barrier Use scenarios (AIP-3) EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
32 TO LOWER ENTRY BARRIER FOR MULTI-DISCIPLINARY CAPACITY EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
33 Step 1: Discovery e Geospatial Resources Web 2.0 resources... «Broker» Geospatial Data Access Broker Module» ov ery Broker CSW «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL «Advanced Module» Semantic engine «Semantic Resources» Thesauri (edit Mask) Event place - date
34 Implement Interoperability Arrangements Step 1: Discovery e Geospatial Resources Web 2.0 resources... «Broker» Geospatial Data Access Broker Module» ov ery Broker CSW «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL «Advanced Module» Semantic engine «Semantic Resources» Thesauri (edit Mask) Event place - date
35 re Geospatial Resources Step 1: Discovery Web 2.0 resources e «Service «Broker» Providers» Geospatial Resources Data Access Broker Web 2.0 resources... Module» ov ery Broker CSW «Broker» Catalog Geospatial Discov Data ery Access Broker Broker OpenSearch «Advanced Module» Adapters SPARQL «Semantic Resources» Thesauri Module» ov ery Broker CSW «Advanced Module» Semantic engine «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL WFS Gazzetters «Semantic Resources» Thesauri «Advanced Module» Semantic engine (edit Mask) Event place - date
36 re Geospatial Resources Step 1: Discovery Web 2.0 resources e «Service «Broker» Providers» Geospatial Resources Data Access Broker Web 2.0 resources... Module» ov ery Broker CSW «Broker» Catalog Geospatial Discov Data ery Access Broker Broker OpenSearch «Advanced Module» Adapters SPARQL Module» ov ery Broker SPARQL CSW WFS «Advanced Module» Semantic engine «Broker» Catalog Discov ery Broker Implement «Semantic Resources» Thesauri OpenSearch Multi-disciplinary «Advanced Module» Adapters Interoperability Arrangements Gazzetters «Semantic Resources» Thesauri «Advanced Module» Semantic engine (edit Mask) Event place - date
37 re e Implement Subsetting & Transformation services Geospatial Resources Step 1: Discovery Web 2.0 resources «Service «Broker» Providers» Geospatial Resources Data Access Broker Web 2.0 resources... Module» ov ery Broker CSW «Broker» Catalog Geospatial Discov Data ery Access Broker Broker OpenSearch «Advanced Module» Adapters SPARQL Module» ov ery Broker SPARQL CSW WFS «Advanced Module» Semantic engine «Broker» Catalog Discov ery Broker Implement «Semantic Resources» Thesauri OpenSearch Multi-disciplinary «Advanced Module» Adapters Interoperability Arrangements Gazzetters «Semantic Resources» Thesauri «Advanced Module» Semantic engine (edit Mask) Event place - date
38 Step 2: Access Geospatial Resources Web 2.0 resources... «Broker» Geospatial Data Access Broker Module» v ery Broker CSW «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL «Advanced Module» Semantic engine «Semantic Resources» Thesauri WFS Gazzetters (edit Mask) Event place - date
39 Step 2: Access Geospatial Resources... Implement Web 2.0 resources Subsetting & Transformation services «Broker» Geospatial Data Access Broker Module» v ery Broker CSW «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL «Advanced Module» Semantic engine «Semantic Resources» Thesauri WFS Gazzetters (edit Mask) Event place - date
40 Step 2: Access Geospatial Resources... Implement Web 2.0 resources Subsetting & Transformation services «Broker» Geospatial Data Access Broker Module» v ery Broker SPARQL CSW «Broker» Catalog Discov ery Broker OpenSearch Underpin «Advanced Module» a common Adapters grid environment «Semantic Resources» Thesauri «Advanced Module» Semantic engine WFS Gazzetters (edit Mask) Event place - date
41 Step 2: Access Geospatial Web resources. Geospatial Resources... Implement Web 2.0 resources Subsetting & Transformation services What about Web 2.0 resources? «Broker» Geospatial Data Access Broker Module» v ery Broker SPARQL CSW «Broker» Catalog Discov ery Broker OpenSearch Underpin «Advanced Module» a common Adapters grid environment «Semantic Resources» Thesauri «Advanced Module» Semantic engine WFS Gazzetters (edit Mask) Event place - date
42 Step 3: Web 2.0 Resources Geospatial Resources Geospatial Resources Web 2.0 resources Web 2.0 resources «Broker» Geospatial Data Access Broker «Broker» Geospatial Data Access Broker odule» ery Broker dule» ery Broker SPARQL CSW CSW «Broker» Catalog Discov ery Broker «Broker» Catalog Discov ery Broker OpenSearch OpenSearch «Advanced Module» Adapters «Advanced Module» Adapters SPARQL «Semantic Resources» Thesauri «Advanced Module» Semantic engine «Semantic Resources» Thesauri «Advanced Module» Semantic engine WFS WFS Gazzetters Gazzetters (edit Mask) Event place - date
43 Step 3: Web 2.0 Resources Geospatial Resources Geospatial Resources Web 2.0 resources Web 2.0 resources «Broker» Geospatial Data Access Broker «Broker» Geospatial Data Access Broker odule» ery Broker dule» ery Broker SPARQL CSW CSW «Broker» Catalog Discov ery Broker «Broker» Catalog Discov ery Broker OpenSearch OpenSearch «Advanced Module» Adapters «Advanced Module» Adapters SPARQL WFS «Advanced Module» Semantic engine «Advanced Module» Semantic engine «Semantic Resources» Thesauri «Semantic Resources» Thesauri Gazzetters Implement Web 2.0 Interoperability Arrangements WFS Gazzetters (edit Mask) Event place - date
44 Step 3: Web 2.0 Resources Geospatial Resources Geospatial Resources Web 2.0 resources Web 2.0 resources «Broker» Geospatial Data Access Broker «Broker» Geospatial Data Access Broker odule» ery Broker dule» ery Broker SPARQL CSW CSW «Broker» Catalog Discov ery Broker «Broker» Catalog Discov ery Broker OpenSearch OpenSearch «Advanced Module» Adapters «Advanced Module» Adapters SPARQL WFS Implement Web 2.0 discovery Interfaces «Advanced Module» Semantic engine «Advanced Module» Semantic engine «Semantic Resources» Thesauri «Semantic Resources» Thesauri Gazzetters Implement Web 2.0 Interoperability Arrangements WFS Gazzetters (edit Mask) Event place - date
45 Step 3: Web 2.0 Resources Geospatial Resources Geospatial Resources Web 2.0 resources Web 2.0 resources Well-structured geospatial queries «Broker» Geospatial Data Access Broker «Broker» Geospatial Data Access Broker What about Semantic discovery for EO? odule» ery Broker dule» ery Broker SPARQL CSW CSW «Broker» Catalog Discov ery Broker «Broker» Catalog Discov ery Broker OpenSearch OpenSearch «Advanced Module» Adapters «Advanced Module» Adapters SPARQL WFS Implement Web 2.0 discovery Interfaces «Advanced Module» Semantic engine «Advanced Module» Semantic engine «Semantic Resources» Thesauri «Semantic Resources» Thesauri Gazzetters Implement Web 2.0 Interoperability Arrangements WFS Gazzetters (edit Mask) Event place - date
46 cmp General Picture Step 4: Augmented Discovery Geospatial Resources Web 2.0 resources «Broker» Geospatial Data Access Broker «Advanced Module» Semantic Discov ery Broker CSW «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL «Advanced Module» Semantic engine «Semantic Resources» Thesauri WFS Gazzetters (edit Mask) Event place - date
47 cmp General Picture Step 4: Augmented Discovery Geospatial Resources Web 2.0 resources Implement Semantic discovery «Broker» Geospatial Data Access Broker «Advanced Module» Semantic Discov ery Broker CSW «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL «Advanced Module» Semantic engine «Semantic Resources» Thesauri WFS Gazzetters (edit Mask) Event place - date
48 cmp General Picture Step 4: Augmented Discovery Geospatial Resources Web 2.0 resources Implement Semantic discovery «Broker» Augment Geospatial Data Access the Broker Discovery Broker capacities «Advanced Module» Semantic Discov ery Broker CSW «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL «Advanced Module» Semantic engine «Semantic Resources» Thesauri WFS Gazzetters (edit Mask) Event place - date
49 cmp General Picture Step 4: Augmented Discovery Geospatial Resources Web 2.0 resources Implement Semantic discovery «Broker» Augment Geospatial Data Access the Broker Discovery Broker capacities «Advanced Module» Semantic Discov ery Broker CSW «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL «Advanced Module» Semantic engine «Semantic Resources» Thesauri Publish Semantic Discovery standard interface(s) WFS Gazzetters (edit Mask) Event place - date
50 cmp General Picture Step 4: Augmented Discovery Geospatial Resources Web 2.0 resources Implement Semantic discovery «Broker» Augment Geospatial Data Access the Broker Discovery Broker capacities «Advanced Module» Semantic Discov ery Broker CSW «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL «Semantic Resources» Thesauri Connect and Publish Semantic Mediate Discovery standard heterogeneous interface(s) Semantic resources WFS «Advanced Module» Semantic engine Gazzetters (edit Mask) Event place - date
51 cmp General Picture Geospatial Resources Web 2.0 resources «Broker» Geospatial Data Access Broker «Advanced Module» Semantic Discov ery Broker CSW «Broker» Catalog Discov ery Broker OpenSearch «Advanced Module» Adapters SPARQL «Advanced Module» Semantic engine «Semantic Resources» Thesauri WFS Gazzetters (edit Mask) Event place - date
52 Empowered by DISCOVERY (& ACCESS) BROKER EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
53 Provided Interfaces & Supported Resource types Discovery (& acess) Brokering Platform (GeoRSS support) (edit Mask) Event place - date
54 Profilers OpenSearch CS-W(T)/ ISO AP CS-W/ ebrim-cim AP CS-W/ ebrim-eo AP Common Data Model ISO Core profile +Extensions( eb-rim/cim /EO) Distributor Asynchronous messaging. Harvesters Accessors OWS Accessors CS-W AP Accessors GBIF Accessor OpenSearch Accessor THREDDS/ OPeNDAP Accessor CDI Accessor OAI-PMH OAI-PMH Accessor Extended Interface RIM-EO, RIM-CIM, ISO Local Repositories GeoRSS Accessor netcdf Accessor... EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
55 Brokering framework: new Resource types supported OAI-PMH 2.0 DublinCore ISO DIF (Data Interchange Format) netcdf-cf 1.4 THREDDS (1.0.1, 1.0.2) GDACS (Global Disaster Alert and Coordination System)... WAF (Web Application Firewalls/FTP) EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
56 In collaboration with GENESIS AUGMENTED (SEMANTIC) DISCOVERY EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
57 Semantic Augmentation (Mediator) Client OpenSearch Extended Interface (semantic) Semantic Augmentation Component EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
58 Semantic Augmentation (Mediator) Client OpenSearch Extended Interface (semantic) Semantic Augmentation Component EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
59 Semantic Augmentation (Mediator) Client OpenSearch Extended Interface (semantic) Semantic Augmentation Component Adapter Adapter? SKOS/RDF?? Thesaurus A Thesaurus B... Gazetteer EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
60 Semantic Augmentation (Mediator)???? CSW/ISO Discovery Broker Adapter Client OpenSearch Extended Interface (semantic) Semantic Augmentation Component Adapter Adapter? SKOS/RDF?? Thesaurus A Thesaurus B... Gazetteer EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
61 Concepts discovery by semantic network browsing EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
62 Concepts discovery by semantic network browsing EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
63 COMMON GRID DATA ACCESS EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
64 Data Access Data Access functionality is composed of: Data pre-processing functionalities to normalize data Sub-setting (i.e. trimming, slicing) Format conversion CRS transformation Data Interpolation. Data Download functionalities Synchronous and asynchronous downloads RESTful and SOAP bindings EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
65 EuroGEOSS IOC WMS Client WCS WFS (edit Mask) Event place - date
66 EuroGEOSS IOC Sub-setting, Format conversion, CRS transformation, Interpolation WMS Client WCS WFS (edit Mask) Event place - date
67 EuroGEOSS IOC Sub-setting, Format conversion, CRS transformation, Interpolation WMS Client WCS WFS (edit Mask) Event place - date
68 EuroGEOSS IOC WMS Client WCS WFS (edit Mask) Event place - date
69 EuroGEOSS IOC WMS Client WCS Sub-setting, Interpolation WFS (edit Mask) Event place - date
70 EuroGEOSS IOC WMS Client WCS Sub-setting, Interpolation WFS (edit Mask) Event place - date
71 EuroGEOSS IOC WMS Client WCS WFS (edit Mask) Event place - date
72 EuroGEOSS IOC WMS Client WCS Sub-setting, Format conversion, Interpolation WFS (edit Mask) Event place - date
73 EuroGEOSS IOC WMS Client WCS Sub-setting, Format conversion, Interpolation WFS (edit Mask) Event place - date
74 EuroGEOSS IOC WMS Client WCS WFS (edit Mask) Event place - date
75 AOC: Requirements and Objective To develop an access framework which does not supplant but complete existing access systems/services A flexible framework to allow CoPs to use their preprocessing components/services where required To be compliant with the INSPIRE transformation implementing rules EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
76 AOC: Requirements and Objective To develop an access framework which does not supplant but complete existing access systems/services A flexible framework to allow CoPs to use their preprocessing components/services where required To be compliant with the INSPIRE transformation implementing rules A broker system which implements the necessary mediations to make use of existing and future data preprocessing services to normalize discovered data EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
77 Sub-setting, Format conversion, CRS transformation, Interpolation WMS Client Access Broker WCS WFS (edit Mask) Event place - date
78 Sub-setting, Format conversion, CRS transformation, Interpolation WMS Client Access Broker WCS WFS WPS reprojection (edit Mask) Event place - date
79 WMS Client Access Broker WCS Sub-setting, Interpolation WFS (edit Mask) Event place - date
80 WMS Client Access Broker WCS WFS (edit Mask) Event place - date
81 WMS Sub-setting, Format conversion, Interpolation Client Access Broker WCS WFS (edit Mask) Event place - date
82 WMS Sub-setting, Format conversion, Interpolation Client Access Broker WCS WFS MATLAB Web Service (edit Mask) Event place - date
83 WMS Client Access Broker WCS WFS (edit Mask) Event place - date
84 AOC: Client Access Broker Access Services IOC: Client Access Services (edit Mask) Event place - date
85 Access Broker: the Context Registry WMS Client Access request CSW / OpenSearch Discovery Broker getdata request INSPIRE Transformation Service Access Broker WCS WFS Format conversion Reprojection Workflow Workflow.... WPS WPS Kepler Taverna Interpolation WPS Reprojection WCTS Subsetting MATLAB Web Service Forecasting Open Modeller EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
86 Access Broker: the Context Registry WMS Client Access request CSW / OpenSearch Discovery Broker getdata request INSPIRE Transformation Service Access Broker WCS WFS Specific CoP Reseampling MATLAB.... Web Service Format conversion WPS Interpolation WPS Reprojection WPS Reprojection WCTS Workflow Subsetting Kepler MATLAB Web Service Workflow Taverna Forecasting Open Modeller EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
87 WEB 2.0 RESOURCES DISCOVERY EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
88 Web 2.0 services considered Service Name Twitter Google Search API Panoramio Picasa Flickr OpenStreetMap Wikimapia Geonames Geocommons Wikipedia Available content type short texts Vector data (KML format) Raster data (photographs) Raster data (photographs) Raster data (photographs) Vector data (OSM format) Text (place names & descriptions) Text (place names) Raster and vector data (maps) Through Geonames [Source: EuroGEOSS D2.6.1 (L. Díaz, C. Granell, O. Fonts, J. Gil)] EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
89 Web 2.0 services considered Service Name Twitter Google Search API Panoramio Picasa Flickr OpenStreetMap Wikimapia Geonames Geocommons Wikipedia Available content type short texts Vector data (KML format) Raster data (photographs) Raster data (photographs) Raster data (photographs) Vector data (OSM format) Text (place names & descriptions) Text (place names) Raster and vector data (maps) Through Geonames [Source: EuroGEOSS D2.6.1 (L. Díaz, C. Granell, O. Fonts, J. Gil)] EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
90 Web 2.0 service Adaptors Common Interface [Source: EuroGEOSS D2.6.1 (L. Díaz, C. Granell, O. Fonts, J. Gil)] EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
91 Web 2.0 service Adaptors Common Interface Common interface: OpenSearch(-geo) interface [Source: EuroGEOSS D2.6.1 (L. Díaz, C. Granell, O. Fonts, J. Gil)] EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
92 Adaptors capabilities Web 2.0 Service Wikipedia Geonames Twitter Flickr OpenStreetMap [Source: EuroGEOSS D2.6.1 (L. Díaz, C. Granell, O. Fonts, J. Gil)] Features through Geonames JSON Wikipedia Search Web Service: Response format: KML Filter: Text search. Paged results: NO through JSON Search Web Service: Response format: KML Filter: Text search Paged results: YES through search API: Response format: Atom + GeoRSS (Supported natively by API). Filter: Text search Paged results: NO through REST search API: Response format: KML Filter: Text search and bbox Paged results: YES through nominatim API: Response format: KML Filter: Text search and bbox Paged results: NO EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
93 Web 2.0 resources support Adaptor Geonames OpenSearch(-geo) Adaptor Twitter Adaptor Flickr CSW/ISO Discovery Broker Adaptor OpenStreet Map Adaptor Wikipedia OpenSearch(-geo) Geocommons EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
94 ADVANCED PREVIEW EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
95 Flexibility: support heterogeneous Clients Any standard CSW or OpenSearch Client can be used to access the discovery capacity GEO-portal Geonetwork ArcGIS / ArcExplorer Web Browsers (via OpenSearch) WorldWind GI-go (thick) and its thin version: GI-portal EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
96 USE SCENARIOS (AIP-3) EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
97 GCI GEO Clearighouse Catalogs GEO Portal GEO Registries Workflow EuroGEOSS AOC Modeling Workflows Model Services Ontology Semantic-enabled Discovery and Processing Model BP EuroGEOSS Brokering Platform (GeoRSS support) METADATA EDITOR(S) Common geographical Grid framework DISTRIBUTED CATALOG Inventory Servers Data Registries Data Services Structured Resources Catalogs Data Data Web 2.0 Resources (edit Mask) Event place - date knowledge
98 GEOSS AIP-3 Use Scenarios In collaboration with the FP7 GENESIS project Biodiversity & Climate Change WG e-habitat & Species Occurrences Use Scenario A web based decision-making tool for assessing environmental changes due to anthropogenic activities, including climate change The development of the modeling web service for computing habitat similarities and irreplaceability allows the community to assess possible environmental consequences. Scientific patron: Gregoire Dubois (JRC) Water (Drought) WG European Drought Observatory (EDO) Use Scenario Assessment of the drought situation in Europe Multi-scale approach based on subsidiarity that integrates drought information from various scales Scientific patron: Stefan Niemeyer (JRC) EuroGEOSS Meeting JRC Ispra 4-6 oct 2010
99 Related Challanges: From ncml to ncml-g+
100 Encoding Field View Content abstract realization Conceptual Approach Conceptual Model & Metadata Model Encoding Schema Field View (Coverage types) ISO ISO ISO GML- Coverage netcdf /CDM CF ncml ESSI Lab
101 Encoding Field View Content ESSI Lab
102 Encoding Field View Content ESSI Lab
103 Encoding Field View Content ESSI Lab
104 Encoding Field View Content ESSI Lab
105 ncml-g+ Building on existing artifacts ncml-gml v. 0.5 specification and APIs netcdf to ISO models mapping for regular grid data nciso CF-netCDF to ISO models mapping for metadata Encode different coverage types Regular grid data Irregular grid data Multi-point data.. ESSI Lab
106 Uncertain Types and Services
107 Rationale Main objectives: Specify and Manage Uncertainty of Scientific Data Assess and Control Uncertainty Propagation e.g. in service chaining for models integration Constraints: minimize the impact on the existing tools and processing schemas Re-use existing standards as much as possible
108 Proposed approach Introduce uncertainty types/elements PL Scientific Data Types (e.g. netcdf Libraries) Basic Data Types
109 Proposed approach Introduce uncertainty types/elements PL Scientific Data Types (e.g. netcdf Libraries) Basic Data Types Uncertanty Uncertainty properties described by the UncertWeb vocabulary
110 Proposed approach Introduce uncertainty types/elements PL Scientific Data Types (e.g. netcdf Libraries) XML Scientific Data Types (e.g. ncml) Basic Data Types Uncertanty XML Basic element Types Uncertainty properties described by the UncertWeb vocabulary
111 Proposed approach Introduce uncertainty types/elements PL Scientific Data Types (e.g. netcdf Libraries) XML Scientific Data Types (e.g. ncml) Basic Data Types Uncertanty XML Basic element Types Uncertainty Uncertainty properties described by the UncertWeb vocabulary Uncertainty Description based on the XML encoding of the UncertWeb vocabulary (e.g. UncertML)
112 Proof-of-concepts + Basic info Uncertainty info Different Scientific Data types are considered (i.e. Basic info encodings) XML encoded (e.g. GML, ncml) Binary encoded (e.g. netcdf, GRIB) Stefano.nativi@cnr.it
113 Example: netcdf/ncml + (XML) uncertainty Info netcdf avg_min_2050 { dimensions: lat = 1285 ; lon = 2446 ; variables: double lat(lat) ; lat:units = "degrees_north" ; double lon(lon) ; lon:units = "degrees_east" ; byte avg(lat, lon) ; avg:_fillvalue = 0b ; // global attributes: } :Conventions = "CF-1.0" ; Stefano.nativi@cnr.it
114 Example: netcdf/ncml + (XML) uncertainty Info netcdf avg_min_2050 { dimensions: lat = 1285 ; lon = 2446 ; variables: double lat(lat) ; lat:units = "degrees_north" ; double lon(lon) ; lon:units = "degrees_east" ; byte avg(lat, lon) ; avg:_fillvalue = 0b ; // global attributes: :Conventions = "CF-1.0" ; } <?xml version="1.0" encoding="utf-8"?> <unc:netcdf_uncertainty xlink:type= extended"> <unc:netcdf xlink:type="locator" xlink:locator=" _2050.nc#/netcdf/variable[@name=avg]" xlink:label="dataset" /> <unc:unc_description xlink:type="arc" xlink:from="dataset" xlink:to="uncertainty" /> <unc:uncertainty xlink:label="uncertainty" xlink:type="resource" > <un:statistic> <un:parameters> <un:parameter definition=" <un:value>3.2</un:value> </un:parameter> <un:parameter definition=" <un:value>0.25</un:value> </un:parameter> </un:parameters> </un:statistic> </unc:uncertainty> </unc:netcdf_uncertainty> Stefano.nativi@cnr.it
115 Example: netcdf/ncml + (XML) uncertainty Info netcdf avg_min_2050 { dimensions: lat = 1285 ; lon = 2446 ; variables: double lat(lat) ; Portion Ref. lat:units = "degrees_north" ; double lon(lon) ; lon:units = "degrees_east" ; byte avg(lat, lon) ; avg:_fillvalue = 0b ; // global attributes: :Conventions = "CF-1.0" ; } <?xml version="1.0" encoding="utf-8"?> <unc:netcdf_uncertainty xlink:type= extended"> <unc:netcdf xlink:type="locator" xlink:locator=" _2050.nc#/netcdf/variable[@name=avg]" xlink:label="dataset" /> <unc:unc_description xlink:type="arc" xlink:from="dataset" xlink:to="uncertainty" /> <unc:uncertainty xlink:label="uncertainty" xlink:type="resource" > <un:statistic> <un:parameters> <un:parameter definition=" <un:value>3.2</un:value> </un:parameter> <un:parameter definition=" <un:value>0.25</un:value> </un:parameter> </un:parameters> </un:statistic> </unc:uncertainty> </unc:netcdf_uncertainty> Stefano.nativi@cnr.it
116 Example: netcdf/ncml + (XML) uncertainty Info netcdf avg_min_2050 { dimensions: lat = 1285 ; lon = 2446 ; variables: double lat(lat) ; lat:units = "degrees_north" ; double lon(lon) ; lon:units = "degrees_east" ; byte avg(lat, lon) ; // global attributes: } avg:_fillvalue = 0b ; :Conventions = "CF-1.0" ; Portion Ref. Inbound XLink <?xml version="1.0" encoding="utf-8"?> <unc:netcdf_uncertainty xlink:type= extended"> <unc:netcdf xlink:type="locator" xlink:locator=" _2050.nc#/netcdf/variable[@name=avg]" xlink:label="dataset" /> <unc:unc_description xlink:type="arc" xlink:from="dataset" xlink:to="uncertainty" /> <unc:uncertainty xlink:label="uncertainty" xlink:type="resource" > <un:statistic> <un:parameters> <un:parameter definition=" <un:value>3.2</un:value> </un:parameter> <un:parameter definition=" <un:value>0.25</un:value> </un:parameter> </un:parameters> </un:statistic> </unc:uncertainty> </unc:netcdf_uncertainty> Stefano.nativi@cnr.it
117 Procedural Approach: the UncertainTypes definition UncertaintyTypes = new library of Data Types which include the Uncertainty Info UncertaintyTypes = Basic (Data Types) + Uncertainty Info Basic (Data) Types = quantities for which the uncertainty is not specified i.e. the PL (or library) data types Stefano.nativi@cnr.it
118 Procedural Approach: Modeling the UncertainType concept The concept of UncertainType, is a BasicType specialization : UncertainType is a BasicType An UncertainType includes additional information regarding its uncertainty. Stefano.nativi@cnr.it
119 Procedural Approach: Modeling the UncertainType concept The concept of UncertainType, is a BasicType specialization : UncertainType is a BasicType An UncertainType includes additional information regarding its uncertainty. Stefano.nativi@cnr.it
120 Sub-typing Issues OO programming language and encoding languages/models must support: subtyping of base types ALLOWED ECMAScript (JavaScript) Python NOT ALLOWED Java XML Schema C++ Operator overloading
121 Alternative approach To use an association relationship BasicType becomes a property of the associated UType A prototype was developed for Java data types Stefano.nativi@cnr.it
122 Possible Integration in netcdf/cdm To include the uncertain types in the supported DataType list Update the APIs to work on such new (extended) Datatype entries
123 Possible Integration in netcdf/cdm To include the uncertain types in the supported DataType list Update the APIs to work on such new (extended) Datatype entries Extended netcdf API (uncertainty DataTypes) NetCDF API Basic Data Types Uncertainty API Uncertanty
124 General picture: the Uncertainty propagation UncertainTypes (and Uncertain Algebra) Overall Dataset uncertainty Uncertainty Operations on Datasets Uncertainty metadata provided by Service (Uncertainty propagation throuh chaining)
125 General picture: the Uncertainty propagation UncertainTypes (and Uncertain Algebra) Overall Dataset uncertainty Uncertainty Operations on Datasets Uncertainty metadata provided by Service (Uncertainty propagation throuh chaining) Uncertainty-driven discovery (service chaining)
126 Thank you for your attention!
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