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Research project "Natural Language Search" successfully completed

SER and AIT Austrian Institute of Technology

(06.03.2018 - Vienna/Berlin) SER Solutions Österreich GmbH and AIT Austrian Institute of Technology have announced the successful completion of a joint research project, "Natural Language Search with Doxis4". The research results and the functional prototype were handed over to SER Solutions Österreich. The next step is to integrate the language features into the Doxis4 software.


The SER Group has been exploring the topics of cognitive functions, machine learning and artificial intelligence for some time now. The analysts at Gartner and Forrester consider the enterprise content management (ECM) software Doxis4 to be one of the most innovative products in the market. SER is positioned in Gartner's Magic Quadrant for Content Services as a "Visionary".

From idea to implementation

The research groups of AIT and SER dealt with the question of if and how natural language interaction would be possible with an enterprise content management system that manages documents, metadata, records, tasks and processes. Working together over a five-month period, the team developed a prototype that recognizes and processes the intentions of the speaker. The goal was to make it possible for the user to interact with Doxis4 without needing to look at the screen. Some questions the user could pose would be: How high is the net amount of the inbound invoices that are currently being verified? Which new tasks are in my workbasket? Did the project manager already revise the project plan? A second module enables the Doxis4 clients to be controlled via speech commands such as "Show the first document" or "Go forward ten pages".

Utilizing cutting-edge technologies of neural networks, acoustic speech models and artificial intelligence, language recognition has made great advances in the last couple years. AIT tested the implementation of various technologies for language recognition and assessed their suitability. Furthermore, AIT developed a special analytics model that investigated the input in natural language to recognize the user's intended meaning.

SER's development team has taken up the results of the research group, headed by Dr. Sven Schlarb (scientist at AIT) and Markus D. Hartbauer (Solutions Architect of SER), and is now evaluating the integration of natural language search queries into Doxis4 applications.

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госпожа Alexandra Lilienthal
e-Mail: alexandra.lilienthal@ser.de
Тел.: +49 30 498582-214

About AIT

The AIT Austrian Institute of Technology is Austria's largest research and technology organization. AIT provides research and technological developments to realize basic innovations for the next generation of infrastructure technologies. The AIT Center for Digital Safety & Security focuses on key technology areas of information and communication technologies (ICT), such as cyber security, data science and artificial intelligence. This expertise in IT technology ensures the competitiveness of domestic products on the global market through Austrian know-how. Further information: www.ait.ac.at/dss

О SER Group

Компания SER

Doxis4

  • Крупнейший европейский вендор ECM-систем*;
  • Входит в топ-5 лучших вендоров ECM-систем в мире;
  • Частная компания;
  • Программное обеспечение разработано в Германии;
  • Visionary в «магическом квадранте» Gartner для CSP;
  • «Сильный игрок» в Forrester's ECM Waves™;
  • Более 550 сотрудников
  • Более 2 000 клиентов по всему миру;
  • Крупнейшая команда разработчиков ECM-решений в Европе.
  • Стандартизированное ECM решение для крупных корпораций, среднего бизнеса и государственных учреждений;
  • Единая ECM, BPM-платформа для совместной работы, включающая:
    • Комплексный менеджмент метаданных;
    • Вертикальные и горизонтальные решения;
    • Гибридный BPM для всех бизнес-процессов — от целевых до высокоструктурированных;
    • Компоненты для совместной работы, безопасного обмена данными, как внутри организации, так и с контрагентами

*Согласно последним опубликованным данным о доходах, валовой прибыли, операционных результатах и количестве сотрудников