Geonovum Testbed Topic 4 Spatial data on the Web using the current SDI. INSPIRE Conference 2016

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1 Geonovum Testbed Topic 4 Spatial data on the Web using the current SDI INSPIRE Conference 2016

2 The starting point GIS Experts and Developers SDI CSW ISO ISO 19139/XML WFS any model any CRS XML rich queries WFS Metadata Adressen en Gebouwen (BAG) Agrarisch Areaal

3 What are we trying to do? presence on the Web of data crawlability and linkability, i.e. make each resource hosted by a WFS or CSW available via a persistent URI and ensure that all resources can be reached via links from a landing page for the data set harmonisation of data discovery: classification of the resources using vocabularies supported by the main search engines on the Web discovery of both spatial and non spatial data by the same search engine data access based on current Web practices representations of data for consumption by humans (HTML), developers (JSON LD, GeoJSON, GML) and search engine crawlers (HTML with structured data annotations), accessible via HTTP(S) connecting data with other data on the Web establishing and maintaining links between data

4 What have we built Open Data Portals Search Engine Crawlers Web Developers Indexed Web Linked Data Web? Web APIs? GeoNetwork SDI DCAT schema.org linked data proxy schema.org WGS 84 HTML & JSON-LD Content negotiation Follow your nose linked data proxy links between datasets Bekendmakingen CSW ISO ISO 19139/XML WFS any model any CRS XML rich queries WFS Metadata Adressen en Gebouwen (BAG) Agrarisch Areaal GIS Experts and Developers

5 Architectural principles used in the proxy design All resources are identified using persistent HTTP URIs All resources should be discoverable via search engines All interaction is using the HTTP protocol, consistent with its design APIs to access data should be self describing and support immediate use Resources can be accessed and understood by developers and citizens Resources are either explicitly linked using HTTP URIs or data is structured so that links can be established dynamically

6 Metadata Paul

7 Search for an address in Google Feature from Address WFS reported as first hit

8 HTML page of the address live from the WFS Feature available under a persistent URI as HTML, GeoJSON, JSON LD, GML

9 HTML annotated with schema.org

10 Landing page of the ldproxy.net demo server

11 A dataset (a WFS)

12 A dataset (a feature type in a WFS)

13 paged access to all features

14 All data is accessed live from a WFS

15 Providing subsets of large data sets (here: by municipality)

16 Select the municipality

17 Dynamically establish links to other resources (here: a dataset with public announcements)

18 A public announcement

19 Note: Workshop tomorrow morning at 09:00 about the work of the Working Group

20 Indexing is slow 0.2% the pages (features) after 5 months

21 Indexing of the schema.org annotation is minimal

22 Similar across search engines

23 Google is experimenting with the discovery of datasets https://developers.google.com/search/docs/data types/datasets

24 Resources Detailed report testbed.github.io/topic4/ Many additional aspects and issues covered, not discussed today Source code https://github.com/interactive instruments/ldproxy Docker image https://hub.docker.com/r/iide/ldproxy/

25 Summary of the Findings To a large extent we were successful SDIs can be leveraged to make data available on the Web But there are open questions and issues, e.g. Data integration across datasets: Properly structured data using common vocabularies will decrease the cost of data integration (here: linking) significantly SDI consistency: Metadata in WFS capabilities and the dataset metadata in catalogues is often incomplete or inconsistent, persistent identifiers in WFSs, dead links Performance & data compactness: Response times and data size impact on the indexing / ranking by search engines and usability in general Search engines are largely a black box when we look at spatial data: how is structured spatial data used? schema.org is a divergent kind of vocabulary from the Linked Data perspective Different vocabularies needed for different use cases / communities e.g. schema.org vs GeoSPARQL Content negotiation based on media types does not support different vocabularies / user communities

26 Docker

27 Docker

28 Docker image of ldproxy

29 Set up a local ldproxy service using docker https://github.com/interactiveinstruments/ldproxy/blob/master/docs/00 getting started.md

30 Adapt a ldproxy service configuration change feature type label lands2:watertorens to Watertorens disable Foto_groot in the overviews disable properties OBJECTID and Foto_thumb everywhere have a better feature name than "watertorens.1" change "WOONPLAATS" to "Woonplats" also documented at https://github.com/interactiveinstruments/ldproxy/blob/master/docs/00 getting started.md

31 Service Manager without ldproxy services

32 with one ldproxy service

33 The landing page for the ldproxy service

34 The page for a feature type

35 The page of a feature

36 Try it yourself, even without setting up your own proxy

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