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An intuitive tool using controlled English compatible with semantic web standard.
Highlights
While working on a healthcare project related to lung cancer treatment, we created FluentEditor, an ontology editor that is able to represent knowledge in a formal way. This tool helps to speed up the work of scientists and avoid errors when entering and working with information. They can easily edit their ontologies, quickly share knowledge and test instantly what is written. Besides, as it is compatible with OWL, a well known semantic web standard, and therefore it contributes to OWL community growth.
Industry
Technology
Science
Team
4
Duration
2 years
Country
Poland
Challenge
The target audience is individual developers, academic researchers and educators with no programming knowledge. From the user’s point of view, they had to use the tool in the same way as Word, writing down their knowledge or drawing it from other sources. But the input information must have a certain structure and strict semantics in order to avoid ambiguity and be executed in a computer.
The main challenge we faced was to make the tool compatible with OWL (Web Ontology Language) and Semantic Web standards.
Solution
As a result, we launched a very intuitive tool using controlled English as the knowledge modeling language. Supported via Predictive Editor, it prohibits one from entering any sentence that is grammatically or morphologically incorrect and actively helps the user during sentence writing.
From the technical side with FluentEditor you can reuse parts of ontologies borrowed from other places, import knowledge, but users decide themselves which sources can be trusted and which not.
Since the tool is OWL compatible (OWL 2, OWL-DL, OWL-RL, SWRL, SPARQL, RDF, OCNL), all OWL compatible products are also compatible with FluentEditor. It’s integrated with Protégé and allows сollaboratively editing ontologies within the team and connecting directly to the server.
IoT Solutions. Possible use: Smart City design, Smart Factory and Smart Hospital engineering, creating other smart solutions and systems for any area.
Healthcare and Pharma. Possible use: systems and applications for taxonomy, data on drugs and their interaction with each other, clinical research.
Automotive and Manufacturing. Possible use: systems and applications for the description, connection and interaction of multiple different auto and assembly parts, scientific research in this area.
Security and Regtech. Possible use: systems and applications for collection, storage and presentation of sensitive data, various studies in this area.
Aerospace and Defense. Possible use: systems and applications for aeronautics, connection and interaction of multiple different construction parts, scientific research in this area.
Telecom. Possible use: systems and applications for collection, storage and presentation of sensitive data, various studies in this area.
To learn more about the tool please visitour webpage.
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