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Mathematical Entity Linking Methods and Applications

(Autor)

Buch | Softcover
2025 | 2025
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-46473-8 (ISBN)
106,99 inkl. MwSt

This research book explores the adaptation of traditional Entity Linking techniques to Mathematical Entity Linking (MathEL) for STEM disciplines, addressing the limitations of current Information Retrieval methods in handling mathematical expressions. By developing and evaluating novel MathEL approaches using AI, Machine Learning, and the Wikidata Knowledge Graph, significant progress is achieved in areas such as Formula Concept recognition, semantic formula search, mathematical question answering, physics exam question generation, and STEM document classification. The study also introduces a suite of open-source Wikimedia MathEL tools, including AnnoMathTeX, MathQA, and PhysWikiQuiz, designed to advance Mathematical Information Retrieval and support innovative applications in academic and educational contexts.

Philipp Scharpf studied physics at ETH Zurich, the University of Zurich and the University of Constance and completed his doctorate in computer science in the field of artificial intelligence at the University of Constance and the University of Göttingen. Since 2022, he has been a freelance consultant for data and AI solutions and a lecturer at the University of Stuttgart for Big Data and Learning Analytics.

Introduction.- Reviews.- Methods.- Applications.- Conclusion & Outlook.

Erscheint lt. Verlag 31.1.2025
Zusatzinfo Approx. 220 p.
Verlagsort Wiesbaden
Sprache englisch
Maße 148 x 210 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Entity Linking • Information Retrieval • machine learning • question answering • Wikidata
ISBN-10 3-658-46473-9 / 3658464739
ISBN-13 978-3-658-46473-8 / 9783658464738
Zustand Neuware
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