The reduction of green house gas emissions is one of the big global challenges for the next decades. (Linked) Open Data on this multi-domain challenge is key for addressing the issues in policy, construction, energy efficiency, production a like. Today – on the World Environment Day 2014 – a new (linked open) data initiative contributes to this effort: GBPN’s Data Endpoint for Building Energy Performance Scenarios.
GBPN (The Global Buildings Performance Network) provides the full data set on a recently made global scenario analysis for saving energy in the building sector worldwide, projected from 2005 to 2050. The multidimensional dataset includes parameters like housing types, building vintages and energy uses – for various climate zones and regions and is freely available for full use and re-use as open data under CC-BY 3.0 France license.
To explore this easily, the Semantic Web Company has developed an interactive query / filtering tool which allows to create graphs and tables in slicing this multidimensional data cube. Chosen results can be exported as open data in the open formats: RDF and CSV and also queried via a provided SPARQL endpoint (a semantic web based data API). A built-in query-builder makes the use as well as the learning and understanding of SPARQL easy – for advanced users as well as also for non-experts or beginners.
The LOD based information- & data system is part of Semantic Web Companies’ recent Poolparty Semantic Drupal developments and is based on OpenLinks Virtuoso 7 QuadStore holding and calculating ~235 million triples as well as it makes use of the RDF ETL Tool: UnifiedViews as well as D2R Server for RDF conversion. The underlying GBPN ontology runs on PoolParty 4.2 and serves also a powerful domain-specific news aggregator realized with SWC’s sOnr webminer.
Together with other Energy Efficiency related Linked Open Data Initiatives like REEEP, NREL, BPIE and others, GBPNs recent initative is a contribution towards a broader availability of data supporting action agains global warming – as also Dr. Peter Graham, Executive Director of GBPN emphasized “…data and modelling of building energy use has long been difficult or expensive to access – yet it is critical to policy development and investment in low-energy buildings. With the release of the BEPS open data model, GBPN are providing free access to the world’s best aggregated data analyses on building energy performance.”
The Linked Open Data (LOD) is modelled using the RDF Data Cube Vocabulary (that is a W3C recommendation) including 17 dimensions in the cube. In total there are 235 million triples available in RDF including links to DBpedia and Geonames – linking the indicators: years – climate zones – regions and building types as well as user scenarios….
The Simple Knowledge Organization System (SKOS) has become one of the ‘sweet spots’ in the linked data ecosystem in recent years. Especially when semantic web technologies are being adapted for the requirements of enterprises or public administration, SKOS has played a most central role to create knowledge graphs.
In this webinar, key people from the Semantic Web Company will describe why controlled vocabularies based on SKOS play a central role in a linked data strategy, and how SKOS can be enriched by ontologies and linked data to further improve semantic information management.
SKOS unfolds its potential at the intersection of three disciplines and their methods:
- library sciences: taxonomy and thesaurus management
- information sciences: knowledge engineering and ontology management
- computational linguistics: text mining and entity extraction
Linked Data based IT-architectures cover all three aspects and provide means for agile data, information, and knowledge management.
In this webinar, you will learn about the following questions and topics:
- How SKOS builds the foundation of enterprise knowledge graphs to be enriched by additional vocabularies and ontologies?
- How can knowledge graphs be used build the backbone of metadata services in organisations?
- How text mining can be used to create high-quality taxonomies and thesauri?
- How can knowledge graphs be used for enterprise information integration?
Based on PoolParty Semantic Suite, you will see several live demos of end-user applications based on linked data and of PoolParty’s latest release which provides outstanding facilities for professional linked data management, including taxonomy, thesaurus and ontology management.
Register here: https://www4.gotomeeting.com/register/404918583
Create better SKOS vocabularies
The main features of the service are:
- No need for registration – you can log in with your existing accounts at Google, Xing, LinkedIn or Twitter
- Upload and check as many vocabularies you like (100MB maximum size for each vocabulary)
- Access reports of the quality checks for all uploaded vocabularies
- Quality reports can also be sent to you by email, if you wish
PoolParty team asks for feedback and suggestions on the service!
Either contact email@example.com or fill in our feedback form!
Two live demos of PoolParty Semantic Integrator demonstrate new ways to retrieve information based on linked data technologies
Linked data graphs can be used to annotate and categorize documents. By transforming text into RDF graphs and linking them with LOD like DBpedia, Geonames, MeSH etc. completely new ways to make queries over large document repositories become possible.
An online-demo illustrates those principles: Imagine you were an information officer at the Global Health Observatory of the World Health Organisation. You inform policy makers about the global situation in specific disease areas to direct support to the required health support programs. For your research you need data about disease prevalence in relation with socioeconomic factors.
Datasets and technology
About 160.000 scientific abstracts from PubMed, linked to three different disease categories were collected. Abstracts were automatically annotated with PoolParty Extractor, based on terms from the Medical Subject Headings (MeSH) and Geonames that are organized in a SKOS thesaurus, managed with PoolParty Thesaurus Server. Abstracts were transformed to RDF and stored in Virtuoso RDF store. In the next step, it is easy to combine these data sets within the triple store with large linked data sources like DBPedia, Geonames or Yago. The use of linked data makes it easy to e.g. group annotated countries by the Human Development Index (HDI). The hierarchical structure of the thesaurus was used to collect all concepts that are connected to a specific disease.
This demo was developed based on the libraries sgvizler to visualize SPARQL results. AngularJS was used to dynamically replace variables in SPARQL query templates.
Another example of linked data based search in the field of renewable energy can be tried out here.