BUSINESS INTELLIGENCE
ON YOUR UNSTRUCTURED DATA

Information Discovery is a leading text analytics and machine learning platform that allows you to get insights in your structured and unstructured data and explore important information in the most flexible way. Information Discovery collects and analyzes all kind of documents, such as patents, research literature, databases, websites, and other enterprise repositories.

By parsing and analyzing content, and creating a searchable index, Information Discovery helps you perform text analytics across all relevant data in the internet and your enterprise and make that data available for analysis and search. It allows you to explore facts and relationships across many sources that would otherwise be hidden in unstructured data.

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INFORMATION DISCOVERY ALLOWS YOU TO LEVERAGE
YOUR DATA FOR BUSINESS-CRITICAL DECISIONS:

  • Integrate heterogeneous data from various sources in a single application
  • Analyze your Big Data in a short time
  • Structure your unstructured content
  • Easily drill down your results using advanced filters
  • Discover hidden facts and relations in your data
  • Develop your own data-driven applications with Information Discovery

OVERVIEW INFORMATION DISCOVERY

TERMINOLOGY MANAGEMENT

The terminology management system component comprises innovative tools for handling terminologies and ontologies. With the allocation of term systems, key word lists, product or employee lists etc., the topic range of the text analysis is well defined. Thus, relevant facts can be targeted and extracted and displayed as a filter possibility in the search.

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TEXT-MINING

The Text Mining Pipeline contains manifold tools of text analysis for the specific extraction of information from documents. Various data sources from local file systems, databases or from the internet are subject to linguistic and semantic evaluation. Here, additional information is obtained from the documents, which now structured, are available for further processing.

SEMANTIC SEARCH

The Search and Analysis components offer fast and lucid faceted searching through complex information inventories. As a result of the text analysis, a search index is created containing the additionally obtained information, also enabling efficient complex queries and statistics through the data repository.

MACHINE LEARNING / AI

Document classification module categorizes articles and documents automatically into freely-definable category systems. For example, agency notifications can be routed to the corresponding departments (e.g. “Economy”, “Politics”), or patents can be assigned to the technology fields of enterprises. Advanced machine learning algorithms learn aspects of human decision making and save valuable time and money in automating otherwise time consuming manual tasks.

CUSTOMIZATION, THIRD PARTY INTEGRATION

Information Discovery can be fully customized to meet unique business needs, offering a complete set of open and standard API’s for building rich analytic apps and embedding text analytics into existing solutions. Its modular architecture allows seamless integration into existing infrastructures and third party applications.

Averbis Information Discovery Mobile

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