1 The LEO Project Linked Open Earth Observation Data for Precision Farming Presenter: Manolis Koubarakis (UoA ) 1

Outline Background Open EO Data Linked EO Data TELEIOS Main objectives Consortium Detailed scientific and technical objectives Proposed LEO work with ESA Other related efforts/events 2

Background – Open Data Lots of public sector data have recently been made open and freely available through various government and other portals. 3

Background – Open EO Data Lots of open Earth Observation data have been made available in the last few years too. 4

Background - Data Silos All this data still exists in different data silos (e.g., different EO archives). 5

Background – Linked Open Data Goal: “to extend the Web with a data commons by publishing various open data sets as RDF on the Web and by setting RDF links between data items from different data sources.” Started as a W3C community effort. The LOD community is developing a set of best practices for achieving the above goal. 6

Background – LOD Cloud 7

Background – Key LOD Technologies URIs: a generic means to identify entities or concepts in the world. RDF: a data model for structuring and linking data that describes things in the world. SPARQL: a query language for querying linked data. RDFS (or OWL) ontologies for capturing the semantics of data. HTTP: a simple, yet universal, mechanism for retrieving resources, or descriptions of resources. 8

Background - Data Relevant to EO in the LOD Cloud Geographical data e.g., Geonames or OpenStreetMap etc. EO data published by our group in TELEIOS e.g., CORINE, Urban Atlas. (Greek data) (European data). More to come in LEO and MELODIES 9

Background – 10

Background – 11

Background – the GAG Dataset The Greek Administrative Geography (GAG) according to the Kallikratis law of Greece is organized into: 13 regions (e.g., Crete) Each region consists of regional units (e.g., Heraklion) Each regional unit consists of municipalities (e.g., Dimos Chersonisou) … 12

Background – The GAG Ontology 13

Background – Linking GAG to Geonames 14 owl:sameAs

Background – Other Kinds of Links Natura 2000 Example of link to GAG: This protected area is contained in the region of Crete. Public Transport Examples of links to GAG and Public Buildings: This bus stop is in the municipality of Athens. This bus stop is near a public building. 15

Background – Querying GAG 16

Background – 5-Star Linked Open Data 17

Catalogue Processing Chains PDGS Archive Background - EO Data Centers Before TELEIOS Raw Data Users 18

Linked Geospatial Data Semantic Annotations Ontologies Knowledge Discovery and Data Mining Raw DataIngestion Archiving Cataloguing Processing Content Extraction GIS Data Derived Products Metadata Web Portals Rapid Mapping Rapid Mapping Scientific Database and Semantic Web Technologies DATA KNOWL- EDGE Features Background – Linked Data for EO in TELEIOS

Backgound – TELEIOS NOA Use Case ( ) 20

Backgound – TELEIOS DLR Use Case ( ) 21

From TELEIOS to LEO 22

LEO Main Objectives Follow the lead of TELEIOS: open up existing EO silos by moving over to the linked data paradigm. 23

LEO Main Objectives Go beyond TELEIOS and LOD2: Target the whole life cycle of linked open EO data. 24

LEO Main Objectives Stay close to the real world: Develop a precision farming application that heavily utilizes linked open EO data. 25

Consortium 1.National and Kapodistrian University of Athens 2.Centrum Wiskunde & Informatica 3.Space Applications Services SV 4.VISTA GmbH 5.PC-AGRAR GmbH 26

Partner Expertise Earth Observation Database management and linked data technologies Geospatial data Precision Farming Close connection to the agricultural sector 27

Consortium as a Whole 28

Scientific and Technical Objectives Revisit TELEIOS and LOD2 ideas to capture the life cycle of linked open EO data. 29

The Life-Cycle of EO Data According to TELEIOS and LEO 30

The Life-Cycle of EO Data According to TELEIOS and LEO 31

Key TELEIOS Tools – Strabon, stSPARQL 32

Key TELEIOS Tools – MonetDB, SciQL, Data Vault 33

Key TELEIOS Tools – 34

Scientific and Technical Objectives Develop transformation tools that transform open EO/geospatial data and metadata from their standard formats into RDF. 35

Scientific and Technical Objectives Develop tools that interlink open EO data sources and other data sources. 36 Covers CorrespondsTo

Scientific and Technical Objectives Perform large-scale publication and linking of open EO data from the GMES data warehouse of ESA. 37

Scientific and Technical Objectives Develop tools for cross-platform searching, browsing and visualization of linked EO/geospatial data. 38

Scientific and Technical Objectives Develop a precision farming application based on linked EO/geospatial data. 39

Work Packages - Technical Methodology and Infrastructure Publishing EO data in RDF Interlinking EO data expressed in RDF Cross-platform searching, browsing and visualization of linked EO data Developing precision farming applications using linked open EO data 40 WP1 WP2 WP3 WP4 WP5

Work Packages - Management Project Management Dissemination and Exploitation 41 WP6 WP7

Work Plan 42

Proposed LEO Work with ESA We are interested in the data sources available through the GMES Space Component Data Access (GSCDA) Portfolio: We have two interests: Large scale metadata publication and linking for GSCDA. Use of images from specific datasets in the precision farming application (e.g., permission to get obtained recently). 43

GSCDA Metadata We have checked the public GSCDA metadata from: The DAP document on the top page of GSCDA The Reference Data Set (RDS) portal ( /geonetwork/srv/eng/main.home) /geonetwork/srv/eng/main.home 44

GSCDA Metadata in the RDS portal 45

Linking The interesting applications of RDF data sources come through linking to other related data sources. Example: We can connect the published metadata with other publicly available datasets (e.g., NUTS to show the coverage of a GSCDA dataset per NUTS unit, or other interesting statistics). 46

Nomeclature of Territorial Units for Statistics (NUTS) The NUTS classification is a hierarchical system for dividing up the economic territory of the EU, mainly for statistical and policy purposes. NUTS 0: countries NUTS 1: major socio-economic regions NUTS 2: basic regions for the application of regional policies NUTS 3: as small regions for specific diagnoses See s_nomenclature/introduction s_nomenclature/introduction 47

Example (can generate with sextant.di.uoa.gr) 48

Catalogue Implementation Another interesting application of our ideas is the development of catalogues for GSCDA. Example: We can connect the published linked metadata to the GSCDA ontology using the mappings done in RARE (SA is in our consortium) and allow sophisticated access to GSCDA metadata through SPARQL queries. (RDF/SPARQL as technology for building catalogues). 49

Workshops Thanks to Pier Giorgio for organizing today’s event. In LEO, we have funding for 2 more workshops on the topic “Linked Data for Earth Observation”. 50

Related Project: MELODIES ( MELODIES brings together 16 organizations from across Europe to develop diverse environmental services using open data. Application domains: emission inventories, urban accounting, land management, crisis mapping, ocean status assessment, desertification indicators, marine transport services, groundwater modeling. 51

Related Events European Data Forum 2014 in Athens on March 19 and 20, Collocated linked open data workshop organized by LOD2, GeoKnow, SemaGrow, LinkedUp and LEO 52

Thank you for your attention! Questions? 53