Zum Hauptinhalt springen
Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Mathematical Entity Linking Methods and Applications - Philipp Scharpf

Mathematical Entity Linking Methods and Applications

(Autor)

Buch | Softcover
XXV, 243 Seiten
2025
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-46473-8 (ISBN)
CHF 149,75 inkl. MwSt
  • Versand in 10-15 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken

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.

Erscheinungsdatum
Zusatzinfo XXV, 243 p. 45 illus., 36 illus. in color. Textbook for German language market.
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
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
eine Einführung mit Python, Scikit-Learn und TensorFlow

von Oliver Zeigermann; Chi Nhan Nguyen

Buch | Softcover (2024)
O'Reilly (Verlag)
CHF 27,85
Von den Grundlagen bis zum Produktiveinsatz

von Anatoly Zelenin; Alexander Kropp

Buch (2025)
Hanser (Verlag)
CHF 69,95