Blue Hackathon iMarine Data Challenges

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Contents

Data Challenges

Challenge #1

Enrich HTML web content with RDF annotation, and enable annotation-based document discovery

Background

Most information resources in the "Blue" domain were created without the exploitation by advanced search and discovery mechanisms in mind. They thus lack the semantic richness that would improve their visibility, usefulness, and quality.

One cost-effective opportunity to overcome this limitation may be the addition of RDFa to existing datasets. This can be achieved by a mechanism that extracts concepts from a html-text, aligns these with concepts from a semantic KB, and returns the uri's that can be attached to the source, either off-line, as header metadata, or in-line.

Proving that such a mechanisms can effectively enrich a 'flat' resource with interpretable rdf will present evidence for data owners in the "Blue" domain that they can add value to their resources with limited costs with the help of semantechnicians.

Objectives

We ask the hackathon participants to find a technical solution to enrich the factsheets of the FIGIS portal with annotations in RDFa format. The annotation will consist at least the URIs of the entities referenced in the factsheet, and of set of relevant relations provided with the datasets.

We ask the hackathon to:

  1. GOAL: Provide an RDFa client to
    1. extract concepts from fact-sheets, e.g. accessing the fact-sheet content using the service provided here
    2. identify uri's from several KB's,
    3. create the RDF annotations, and
    4. expose these RDF annotations.
  2. GOAL: Use the annotations produced at item one, as input to online search of factsheets (publication, GIS maps, images, statistical timeseries), to create enhanced discovery facility that complement the web page information content.
  3. GOAL: Retrieve a set of fact-sheets via online search services.
  4. GOAL: Write RDFa to these factsheets.
Challenges

TBD

Datasets
APIs

See below.


Challenge #2

Search Results presentation exploitation.

Search results regarding marine data could be enriched in order to provide advanced experience to the user. Derived information could be injected into results regarding identification of special keywords (related to the query), with results retrieved by OpenSearch and other external(?) datasources. Also exploration of the results could be improved from simple browsing into information discovery, providing accumulated information, filtering, suggestions etc.

Background

(Why this is relevant to blue-er world)

Objectives
  1. We ask the hackathon participants to enrich the search results retrieved from iMarine Collections by identifying special keywords (related to the topic) with results retrieved from OpenSearch and other external(?) datasources.
  2. We ask the hackathon participants to explore the database by performing a number of predefined queries and keep statistics on them in order to enhance the existing browsing methods
Challenges

TBD

Datasets

Ecoscope

APIs

gCube Search client

Challenge #3

Processing and Visualization of data sets

Exploit geolocation of real-world data in order to calculate and visualize geographical information and trends (i.e. migration of species). Support interactive map search over multiple sources, combined and enriched results. Search results will be presented on a map with possible options of clustering, filtering etc. User could also interact with results, like clicking on a result or location would show related results, helpful things etc.

Background

(Why this is relevant to blue-er world)

Objectives
  1. Exploit the species occurrences data in order to calculate and visualize geographical trends (i.e. migration of species).
  2. Interactive Map Search. Search over data of multiple source, combine them and enrich results. Search results can be presented on a map.
    1. clustering, filtering
    2. trend identification
    3. interact with results, like clicking on a result or location would show related results, helpful things etc
Challenges

TBD

Datasets

iMarine GeoNetwork

APIs

iMarine GeoNetwork Client

Datasets and APIs

Datasets

TLO based SPARQL endpoint

Data Graph

Description

The description of the MarineTLO can be found here:

http://wiki.i-marine.eu/index.php/Top_Level_Ontology

Exploitation Example

(How can be used within a challenge)

FAO FLOD

FLOD SPARQL endpoint

Description

The Fisheries Linked Open Data (FLOD) stems from a rising trend initiative known as Linked Open Data. It is dedicated to create a dense network of relationships among the entities of the Fishery domains, and to programmatically serve them to semantic and traditional application environments. It started with the objective to identify and interlink equivalent codes from different code lists in use by FIGIS, in order to consolidate the information referenced by each different code, and then expanded to include external data source such as NAFO, EU, and ICCAT. Currently the FLOD network includes entities and relationships from the the domains of Marine Species, Water Areas, Land Areas, Exclusive Economic Zones. It serves software applications in the domain of statistics, and GIS. The FLOD content is exposed via either SPARQL endpoints (suitable for semantic applications), or via JAVA API to be embedded in consumers' application code.

Exploitation Example

Query for entities of kind:

  • Gear types
  • Vessel types
  • Marine species
  • Fishing Areas
  • Statistical countries (Flagstate)
  • Regional Fisheries Bodies

Ecoscope

http://www.ecoscopebc.ird.fr

Description

Knowledge base on Exploited Marine Ecosystems, the repository gives access to a series of information related species, fishing vessels, agents, information resources ( images, databases, spatial information, publication and plots)

The access to the information can be trough SPARQL or Opensearch

SPARQL Endpoint:

Opensearch description document

Genesi DEC

http://www.genesi-dec.eu/

Description

The Genesi DEC project established establish open data and services access, allowing European and worldwide Digital Earth Communities to seamlessly access, produce and share data, information, products and knowledge. This creates a multi-dimensional, multi-temporal, and multi-layer information facility of huge value in addressing global challenges such as biodiversity, climate change, pollution and economic development.

http://www.genesi-dec.eu/search/

Exeploitation Example

iMarine GeoNetwork

Description

The iMarine Geonetowrk service is the entry point for tbe discovery and access to many type of Georeference data for the marine field. The service is equipped with a cluster of Geoservers and Thredds services which physically host the data. In particular the following data can be queried and retrieved:

Exploitation Example

The Geonetwork service can be used in order to retrieve GIS information for a given marine species. Data can be accessed trough standard protocol as WMS and WFS

iMarine Biodiversity Data Service

Description

The Species Product Disvocery WS giving access to Biodiversity data coming from several providers ( OBIS, GBIF, CoL..)

The client API discovers automatically the endpoint of the service from the iMarine Information System.

Exploitation Example

The service can be used to retrieve Occurrence points and Taxon information coming from the available Data Providers for a given marine species. Data can be extracted in csv and DwC-A format.

Aquatic Species Fact Sheets

Description

Aquatic Species Fact Sheets provided by FAO.

VRMF species factsheet data extraction API

Exploitation Example

This service can be used to extract aquatic species FactSheets either in json or csv format.

APIs

SPARQL Client

Any SPARQL client available on the Web

GeoNetwork Client

Description

Wiki

A library to interact with GeoNetwork's REST Interface to publish/modify/delete and search for Metadata.The library is designed on top of geoserver-manager library, developed by GeoSolutions. Metadata objects managed by the library are compliant to standard specification ISO 19115:2003/19139.

Exploitation Example

Javadoc

SPD Client

Description

Wiki

The SPD Client can be used to access a Biodiversity data broker implemented in iMarine, the SPD service. More details about the architecture of the service are available at

https://gcube.wiki.gcube-system.org/gcube/index.php/Biodiversity_Access

Exploitation Example

The client can be used for example to query the OBIS data source and return the taxonomic information related to shark


ScopeProvider.instance.set("/d4science.research-infrastructures.eu/gCubeApps");
Manager manager = manager().withTimeout(3, TimeUnit.MINUTES).build();

Stream<ResultElement> taxa = manager.search("SEARCH BY CN 'shark' RESOLVE WITH OBIS EXPAND IN OBIS  RETURN Taxon");
		
while (taxa.hasNext()){
	TaxonomyItem taxon = (TaxonomyItem)taxa.next();
	System.out.println(taxon.getAuthor()+" "+taxon.getRank()+" "+taxon.getScientificName());
	while ((taxon=taxon.getParent())!=null)
		System.out.println(taxon.getScientificName()+" -- "+taxon.getRank());
}

gCube Search client

Description

Wiki

Exploitation Example

Javadoc

Artifacts

The software distributed by iMarine ( gCube ) is available trough Maven repositories. The following setting.xml configuration file should be set up:

<settings xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/settings-1.0.0.xsd">

	

	<profiles>
		<profile>
			<id>gcube</id>
			<repositories>
				<repository>
					<id>gcube-releases</id>
					<name>gCube Releases</name>
					<url>http://maven.research-infrastructures.eu/nexus/content/repositories/gcube-releases</url>
					<releases>
						<enabled>true</enabled>
					</releases>
					<snapshots>
						<enabled>false</enabled>
					</snapshots>
				</repository>
				<repository>
					<id>gcube-externals</id>
					<name>gCube Externals</name>
					<url>http://maven.research-infrastructures.eu/nexus/content/repositories/gcube-externals</url>
					<snapshots>
						<enabled>false</enabled>
					</snapshots>
					<releases>
						<enabled>true</enabled>
					</releases>
				</repository>
			</repositories>

			<pluginRepositories>
				<pluginRepository>
					<id>gcube-releases</id>
					<name>gCube Releases</name>
					<url>http://maven.research-infrastructures.eu/nexus/content/repositories/gcube-releases</url>
					<releases>
						<enabled>true</enabled>
					</releases>
					<snapshots>
						<enabled>false</enabled>
					</snapshots>
				</pluginRepository>
				<pluginRepository>
					<id>gcube-externals</id>
					<name>gCube Externals</name>
					<url>http://maven.research-infrastructures.eu/nexus/content/repositories/gcube-externals</url>
					<snapshots>
						<enabled>false</enabled>
					</snapshots>
					<releases>
						<enabled>true</enabled>
					</releases>
				</pluginRepository>
			</pluginRepositories>
			
		</profile>
	</profiles>

	<activeProfiles>
		<activeProfile>gcube</activeProfile>
	</activeProfiles>
</settings>

or the same settings included in your pom file. The maven coordinates of the components to use for the challenges are documented in the related wikis.

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