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Project
DISCOVER
Project at a glance

Project at a glance

The DISCOVER project develops methods for the automatic acquisition, extraction and integration of decision-relevant information from heterogeneous online sources. The system uses background knowledge from domain ontologies, databases and an information value model to optimise knowledge acquisition processes from web sites and deep web repositories. The extracted knowledge is then integrated with business information systems to optimise decision-making and business processes.

  • Project

    DISCOVER - Knowledge discovery, extraction and fusion for improved decision making

  • Team

    Kuntschik Philipp More about Kuntschik Philipp

  • Funding

    Innosuisse (Kommission für Technik und Innovation KTI), Venture Valuation

  • Duration

    December 2016 - January 2019
Status

Status

  • 1 February 2018 – a new version of the DISCOVER API has been deployed.
  • 11 December 2017 – the DISCOVER project team has successfully completed the Go/NoGo review in Zurich.
  • 1 November 2017 – Adrian Brasoveanu has joined the University of Applied Sciences of the Grisons as a visiting research fellow and will contribute his experience in NLP evaluations to the DISCOVER project.
  • 15 September 2017 – a first test of the DISCOVER deep-web content acquisition pipeline has been successfully completed.
  • 31 August 2017 – the project team has submitted the second project report to the Commission for Technology and Innovation CTI.
  • 8 June 2017 – the DISCOVER project has been covered in the digitalisation business lunch speech Daten als Gold der Moderne - Optimierung von Informations- und Entscheidungsprozessen mittels Big Data.
  • 11 May 2017 – the DISCOVER semantic content analyser has been released.
  • 27 April 2017 – joint DISCOVER project meeting in Chur.
  • 7 March 2017 – the project consortium has started the development of the DISCOVER deep-web mining components.
  • 28 February 2017 – the project team has submitted the first project report to the Commission for Technology and Innovation CTI.
  • 23 December 2016 – an initial specification of the DISCOVER REST API has been released.
  • 1 December 2016 – DISCOVER project-opening meeting in Chur.
Team

Team

Guest lecturer
Philipp Kuntschik

Besides the current staff of the University of Applied Sciences of the Grisons listed above, the following former project staff and external people were involved in the project:

  • Jost Renggli (Venture Valuation, COO & Partner)
  • David Caulfield
  • Alexandra Dienser
  • Patrik Frei
  • Aitana Peire
  • Adrian Brasoveanu
  • Fabian Odoni
Additional information

Additional information

Research Blog

Our research blog at blog.semanticlab.net summarises articles, methods, and applications that are relevant to the DISCOVER project.

Research Field

Data Analytics

In the area of Data Analytics, University of Applied Sciences of the Grisons focuses on the analysis of structured corporate data (business intelligence), unstructured text and multimedia contents (web intelligence) as well as data sources with a high level of heterogeneity, large volumes and data throughput (big data).
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Involved parties

The DISCOVER project is funded by the Swiss Federal Department of Economic Affairs (FDEA) Innosuisse (Commission for Technology and Innovation CTI).

The project partners include the university of applied sciences University of Applied Sciences of the Grisons (Swiss Institute for Information Research SII), and Venture Valuation - a Swiss provider of independent assessments and valuations of companies, products and patents.

Swiss Institute for Information Science (SII)

The SII deals with solutions relating to data, knowledge and information in the fields of Data Management, Digital Library, Digitalisation of Analogue Cultural Assets and Digital Long-term Archiving, Data Analytics, User Research as well as Digital Business and Usability Engineering.
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