The MELODIES project: Exploiting open data using cloud computing and Linked Data

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1 Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece The MELODIES project: Exploiting open data using cloud computing and Linked Data Stella Giannakopoulou National and Kapodistrian University of Athens (UoA) on behalf of Jon Blower and the MELODIES consortium

2 MELODIES Overview Maximizing the Exploitation of Linked Open Data In Enterprise and Science 3 years, started 1st November partners in 8 EU countries 6.7M budget Aims to demonstrate the business and scientific benefits of releasing data openly through real applications Responds to European Open Data Strategy Sister project of SWITCH-ON and SmartOpenData 2

3 MELODIES Overview Copern i-cus 3

4 MELODIES project consortium 6 Research organizations 9 SMEs 1 Large company 4

5 The MELODIES Services Improving UK national greenhouse gas inventory Urban planning Assessment of Good Environmental Status of oceans and seas Production of indicators required by UN Convention to Combat Desertification (UNCCD) Management of natural resources (Water Framework Directive) 5

6 The MELODIES Services (cont d) Precision farming: economic and ecological considerations Rapid production of maps for disaster management Improved ocean current forecasts (benefits to shipping industry) 6

7 How can we bring about these benefits? What do the applications have in common?

8 Cloud computing Using Terradue cloud platform and sandbox environment Gives development environment for new services Easy scale-out when going live or when data requirements grow Frees SMEs from the need to run their own Big Data platform 8

9 Common themes Processing of large data stores Especially Earth Observation and models (tera- to peta-scale) Big Data volume problem! Combination of data from diverse sources Earth Observation (e.g., Copernicus) GIS / mapping (e.g., INSPIRE) Socioeconomic and population (e.g. data.gov) Big Data variety problem! Which data are right for each user? How much can we trust the data? Big Data veracity problem! 9

10 Open Data Open EO Data 10

11 Linked Open Data Goal: to extend the Web with a data commons by publishing various open datasets 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. 11

12 Linked Open Data (cont d) 12

13 MELODIES related data in the LOD Cloud Earth Observation data published by our group in TELEIOS: More to come in MELODIES 13

14 How will we handle Linked Data Strabon spatiotemporal RDF store Sextant visualization tool 14

15 Anatomy of typical MELODIES service (there is a lot of variation on this theme!) EO Data processing Earth observation Imagery (raster) Linked Data sources e.g. Population data, CORINE land cover Discrete features (RDF) Linked Data integration (Strabon) User interface (WebGIS) driven by SPARQL queries Contextual informatio n e.g. Maps, Administrative boundaries 15

16 Common challenges Use of Linked Data in real applications still relatively immature Tools need to be developed Best practices need to emerge Problems of efficiency Handling large raster volumes (e.g., EO data) in Linked Data world Currently we keep images as-is but record metadata and extracted features as Linked Data Using and publishing Open Data in the commercial world Even if data are closed, metadata can be open Combining datasets with different licences 16

17 Final remarks MELODIES is developing eight new real environmental services Sustainability is being considered from the very start Underpinned by shared platform using stateof-the-art technology Linked Data (the Web of Data ) is key to how we can integrate diverse data We aim to show that Open Data has real benefit for environmental applications 17

18 Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece Thank you!