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Transform your data
in knowledge

DoRIS text analysis solution facilitating access to unlimited resources of knowledge accumulated in the form of unstructured documents, stored in local resources and in private and public clouds.

    Always find the information you are looking for

    Accurate access to documents containing answers to your questions.

    Reduce the search time for content and context.
    Centralize access to distributed information resources.
    Predict interesting documents.
    Eliminate redundant workload for documents already produced.

    DoRIS

    Document Repository Intelligent Search

    DoRIS is an advanced system which, thanks to the mechanisms of artificial intelligence and machine learning, accurately types searched documents in the repository, selects their content and gives unique attributes.

    It allows organizations to move from manual, time-consuming work to reading text automatically and making quick decisions.

    Implementation benefits

    Shortening the search time for content and context, thanks to the use of document features.

    Precise typing of interesting documents thanks to the "understanding" of the document content, the intention of the inquiry and the user's needs.

    Eliminate redundant workload on documents already produced by detecting duplicates and similar documents.

    Save time on describing documents thanks to automatic retrieval of keywords, named terms, generation of abstracts and classification.

    Centralized access to dispersed information resources through integration with commonly used content management tools.

    Reduction of the uncertainty in the decision-making process by extracting data from the dark-data area.

    DoRIS Functionalities

    OCR
    Recognize text from an image.

    Metadata
    Extracting metadata, keywords, named entities.

    Recommendations
    Document recommendations based on user behavior.

    Automatic summary
    Automatic document summaries allowing you to get
    the most relevant context out of large documents.

    Extracting content
    Intelligent extraction of the document content (automatic keyword description describing the document).

     

     

    History
    Full history of user activity.

    Repository
    Persistent document repository with page preview.

    Search
    Full-text search including typos, negations, word completions or metadata.

    Tagging
    The ability to tag documents and edit metadata by the user.

    Automatic cataloging
    Automated document cataloging (based on flexibly defined user categories).

     

    Do you need other text analytics solutions?

    Document classification

    Automatic assignment to the type of case and launching the appropriate document handling process.

    Companies have huge amounts of unstructured data (e-mails, pdf presentations, graphics) that are unused because or require manual retrieval. Automatic classification of documents (into individual categories) gives them an appropriate structure, so you don't waste time manually cataloging / marking /, and searching in a specific data directory is much easier.

    Klasyfikacja dokumentu
    Wyszukiwanie dokumentów podobnych

    Search for similar documents

    Search for documents with similar content or phrases
    to the reference document.

    A fast disk search algorithm finds similar documents, which allows the use of already existing content. In this way, we save on the work that we do only because we are not aware of the results in a given area.

    Elimination of duplicates

    Searching for documents in the repository in multiple copies (duplicates).

    A repository often has a huge amount of duplicates that unnecessarily take up disk space. A fast disk search algorithm allows you to find and delete them.

    Eliminacja duplikatów
    Rekomendacje

    Recommendations

    Find before you search. Automatic and accurate proposition of other documents to the user.

    Based on the user's profile and browsing history, the system searches for documents that the user may be interested in or that may be useful in performing his duties.

    Document summary

    Maximum content, minimum words - automatic text shortening to their most important content / content.

    It takes a long time to read a large amount of text and find relevant information and it can be exhausting. Thanks to the automatic abstract function, only the necessary information is extracted from the text.

    Streszczenie / podsumowanie dokumentu
    Automatyczne przypisywanie słów kluczowych

    Automatic keyword assignment

    Automatic detection of keywords from large databases and their assignment to the document.

    Traditional search engines based on user-entered keywords can be ineffective due to the natural tendency of users to minimize effort that does not lead to immediate benefit results. By generating keywords, the system fills the gap related to the document description.

    Cognitive / semantic / word meaning search

    Searching for content not only using keywords but taking into account the meaning of the words. The search engine understands the context of the search query.

    Thanks to cognitive search, you can search for content not included directly in the keywords themselves and described using phrases other than the ones used in the query, e.g. documents containing semantically similar words, concepts, relationships.

    Wyszukiwanie poznawcze / semantyczne / według znaczenia słów

    Additional functionalities

    Preview of the document in the form of thumbnails

    Preview of the document in the form of thumbnails. You can read the document without downloading it.

    Podgląd dokumentu w formie miniaturek

    Search in external systems

    The ability to search in one place also in external data sources - without leaving the system.

    Wyszukiwanie w systemach zewnętrznych

    Rozwiń możliwości narzędzia 

    bi Data Quality Management

    bi Master Data Management

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