Unlocking the potential of legacy data with AI and Knowledge Graphs
- Exhibitor Presentation
- AI and New Technologies in TC
-
03. April
-
11:30
- 12:10
AM
(CEST)
-
09:30
- 10:10
AM
(UTC)
|
05:30
- 06:10
AM
(EDT)
-
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Contents
Exhibitor Presentation by PANTOPIX GmbH & Co KG
Imagine a library with endless shelves full of books - books without titles, without categories and indexes. And now imagine that you are trying to find a specific fact in this labyrinth. Frustrating, isn't it? This is the reality that many companies face today with their legacy data. Technical documents that have been created over decades are not organized and with missing metadata. The challenge? Providing accurate, useful information to the users who need it tailored to their task and situation of use. In our presentation, we will demonstrate how we address this challenge using AI and Knowledge Graphs. Using advanced data processing and knowledge modeling techniques we can parse, structure, chunk and organize unstructured legacy content, making it searchable and contextually relevant. By integrating this data into an existing knowledge base within an information system, we enable its retrieval, update and extension. This helps organizations to overcome the limitations of legacy data. Join us to explore how AI is breathing new life into legacy data.
Takeaways
Is to understand the process of creating a robust knowledge base that integrates AI-enriched legacy data, allowing it to be easily retrieved, extended, and updated.
Speakers
Biography
Sofia Darie recently completed her Bachelor's degree in Technical Writing and Communication in Munich. In her final thesis, she investigated how the use of ontologies can ensure semantic interoperability and how the product world can be described more consistently across domains. As a consultant at PANTOPIX, she is now looking forward to immersing herself in the professional field of technical communication. Her tasks include advising customers in the field of information management and finding ways to use selected tools as efficiently as possible
Biography
Nikhil Acharya is a Knowledge Engineer based out of Lindau working for PANTOPIX GmbH. He holds a Masters degree in Informatics from University of Bonn and has worked in the field of Natural Language processing for more than 5 years. He has been an active member and contributor of the Semantic Web community and also worked in different public initiatives like GAIA-X. At PANTOPIX he helps customers build Knowledge Bases from their technical documents and helps add build their AI ecosystem.