Have you already opened up the potential of your company data?

The key to success lies in the ability to convert data into business opportunities regardless of its volume, quality or format.

Enterprise Information Integration

Our »Enterprise Information Integration« division supports companies with advice, feasibility studies and systems specifically designed to help combine and integrate heterogeneous data sets originating from different sources in a range of formats. We use our specialist data mining expertise to enrich and analyze the data before implementing innovative »Enterprise Mashups« which make it possible for in-house data to be used for a variety of specific purposes. Fraunhofer IAIS has also developed tailored information systems with specialized search functions to provide access to the data.

New data sources are constantly being made available many of which, such as Open Government Data and Linked Open Data, are free and publicly accessible. Others, such as customer data bases and product data bases need to be paid for whilst some already exist within the company itself. Companies should be regularly asking themselves questions such as: Have they fully unlocked the potential of the data they have access to? Could processes be introduced aimed at increasing quality and efficiency? Could new value added services be made available to their end clients? By combining and integrating different data sources it becomes possible to offer innovative, data driven business models which give a crucial competitive edge over the competition.

 

Our core skills

 

  • The execution of feasibility studies plus advice regarding data driven business models and process optimization
  • Adding value to data pools through analyzing and enhancing the quality of the data within them
  • Conceptualizing and converting data products and information systems as a basis for data driven business models
  • Planning and developing information cockpits as tailored information systems for use with integrated data pools (e. g. for R&D)
  • Linking and integrating heterogeneous data sources
  • Conceptualizing and developing culture portals as information systems for the use with integrated and linked digital data pools; adjusting existing products to new applications
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In a nutshell: What »Knowledge Graphs« are and how companies can benefit from them.

Our offer

Vocabulary-based Data Integration

A common understanding is essential, when exchanging data. The W3C standards (RDF, RDF Schema, OWL, SPARQL) enable the semantic data description and representation.

Semantic Big Data Architecture

Big Data is not just volume and velocity! In order to gain real insights, a scalable processing and semantic exploitation of heterogeneous data sets (variety) is necessary.

Federated Search

Sometimes the needle is hidden not only in one but in several haystacks. Federated search helps to access heterogeneous and distributed data sources.

Enterprise Knowledge Graphs

Companies need more brains! By integrating open and internal data as well as information and knowledge sources, a networked enterprise knowledge graph can be developed and evolve into the brain of a company.

AskNow - Question Answering

Queston-answering systems are becoming an inspiring model for future search engines. We investigate systems based on increasing assets of linked data.