Andreas Blumauer

Linked data based search: Make use of linked data to provide means for complex queries

Two live demos of PoolParty Semantic Integrator demonstrate new ways to retrieve information based on linked data technologies

data visualisation

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.


Tassilo Pellegrini

Chris Bizer talks about the commercial opportunities of linked data

bizerIn a recent interview Prof. Chris Bizer from FU Berlin gave some insights into the commercial opportunities of linked data. In the short run he predicts three application areas:

I think we will see a growing number of applications that use data from the public Web as background knowledge to offer better search capabilities and to augment local content with additional content from the Web of Data.
Beside of the classic search engines, there might also be market opportunities for new search engines that specialize on Linked Data. […] This will allow them to sell access to cleaned views on the Data Web and to become central components within Linked Data applications.
Within the corporate market, there is interest in using Linked Data as a lightweight, pay-as-you-go data integration technology.

Additionally Chris comments on the latest developments in the area of triple stores and D2RQ, and the necessity for more privacy awareness and information accountability in an increasingly interlinked world.

Read the full interview on our homepage.

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