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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.
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.
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).
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.
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.
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.
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.
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.
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.
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.
Preview of the document in the form of thumbnails. You can read the document without downloading it.
The ability to search in one place also in external data sources - without leaving the system.
