Your scientific knowledge provider
We provide industry and academia with unified platforms
that increases the productivity
Artificial Researcher is an information technology company and a start-up in the text mining industry. We are specialists in developing novel and innovative scientific knowledge management systems tailored to the needs of researchers and information search professionals. Our system solutions automatically handle information needs and present the information to users accordingly. By exploring and implementing innovative text mining technologies, we provide industry and academia with unified platforms that increase the productivity of industry and academia end-users.
We know how to help our customers find the relevant information and tailor it to the needs of our customers.
We develop scientific knowledge management systems by exploring and implementing innovative text mining technologies.
Our systems provide our customers with information and recomendations for purchase and research strategies.
Projects and Partners
Artificial Researcher in Science
Technische Universität Wien IFS
Technische Universität Wien Bibliothek
Supported by Vienna Business Agency
Artificial Research in Science: Efficient Scientific Publication Mining (AR-Science)
In the project AR-Science we aim to develop a novel and innovative platform, which automatically handles scientific information needs and presents the information to the users according to their requests. The result of this work will be a software prototype that, after passing series of user testing conducted by the TU WIEN Library (UB TU), will be commercialised by the start-up AR-IT. The AR-Science prototype has a two-year development cycle since this is a collaboration with TUW University Library and TUW IFS. The AR-Science solution is a significant long-term commitment and investment for the academic libraries
Artificial Researcher in Open Access
Supported by Austria Wirtschaft Service
Artificial Researcher in Open Access (AR-OpenAccess)
With AR-OpenAccess we give institutions the possibility to test and evaluate our technical solution before they agree to a commitment. The AR-OpenAccess solution is similar to the AR-Science solution and will automatically handle information needs and present the information to the users according to their requests. By first introducing the AR-OpenAccess for demos and test trial to the research community – we can reach more universities and libraries worldwide.
What makes our solution innovative?
Within our product and services, we explore a new text mining technology to retrieve scientific publications better fitted to the information needs of students and researchers.
Part of the text mining technology was develop during our CEO Linda Andersson's PhD work at Technical University of Vienna (TU Wien), the paragraph retrieval, the automatic query formulation, and a merging method of document index and paragraph index.
The traditional search technology requires keywords, however, keywords are a limited representation of information needs. The future scientific knowledge management system ought to be a dialogue between the user and the system, requiring integration of language, scientific domain knowledge, and understanding of user information needs. Instead of requiring the user to convert her information need into a set of keywords, the system should aid the user to represent the information need on a conceptual level by means of user contexts. The text mining research must go towards categorizing the information needs and sub discipline of scientific fields. We argue that, by integrating an eLearning system and combining the benefits of supervised learning with reinforcement learning, we obtain partly self-learned annotated data that will boost the efficiency of customized solutions for each specific information need, and, at the same time, will provide users with added knowledge values
What is our solution technology?
The AR-Science software is integrated into the libraries existing system as an add- on and hosted on the libraries infrastructure. We provide the services of indexing in-house, open access, as well as closed access if the library has the text mining permission in the contract with the information providers. Our solution does not require full-text storage, only a digital fingerprint is stored, and the in-house and the closed publication indices, as well as the usage information is owned and hosted by the library. We provide services in terms of maintenance, index update, functionalities update and optimization - i.e. we make the searching different type of resources more time efficient for students and researchers, but the libraries have the control of the data resources storage and the usage information. AR-Science provide more precise usage information in comparison with COUNTER standard. For example, the libraries have access to search statistics such as open access versus closed publications for each specific scientific field
Who are we?
We are the start-up Artificial Researcher - an information technology company and AR-IT for short.
The TU Wien alumni and entrepreneur Linda Andersson is our CEO and co-founder together with Jenny Andersson, Dr. Florina Piroi Project Manager and Nina Andersson CFO and Marketing Manager.
In 2018 we launched the product idea ‘Artificial Researcher in Science’ which received the Commercial Viability Award from the Austrian Angel Investors Association. This was also when Dr. Wolfgang Sachsenhofer got involved and is supporting the co-founders with his expertise in corporate venturing and technology commercialization.
What do we do?
AR-IT provides industry and academia with unified platforms that increase the productivity of end-users, by exploring and implementing innovative text mining technologies based on over 15 years text mining know-how. AR-IT sets out to provide the growing, but financially strained, global scientific communities with one of the key ingredients for excellent research and development work locally.
AR-IT has received fundings for two research prototype projects 'Artificial Researcher in Science' supported by Vienna Business Agency and 'Artificial Researcher in Open Access' supported by Austria Wirtschaft Service. We will within these prototype projects develop novel and innovative scientific knowledge management systems tailored to the needs of students, researchers and information search professionals.
Additionally, AR-IT provides consulting services and software development solutions for smaller projects to industry partners producing real-world AI text mining applications.
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