# Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation

@article{Scharpf2021FastLO, title={Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation}, author={Philipp Scharpf and Moritz Schubotz and Bela Gipp}, journal={Companion Proceedings of the Web Conference 2021}, year={2021} }

Mathematical information retrieval (MathIR) applications such as semantic formula search and question answering systems rely on knowledge-bases that link mathematical expressions to their natural language names. For database population, mathematical formulae need to be annotated and linked to semantic concepts, which is very time-consuming. In this paper, we present our approach to structure and speed up this process by using an application-driven strategy and AI-aided system. We evaluate the…

## 4 Citations

Mathematics in Wikidata

- Computer ScienceWikidata@ISWC
- 2021

The current state, challenges, and discussions related to integrating Mathematical Entity Linking into Wikidata and Wikipedia are summarized and some data mining methods and applications of the mathematical information are outlined.

Towards Explaining STEM Document Classification using Mathematical Entity Linking

- Computer ScienceArXiv
- 2021

First advances towards STEM document classification explainability using classical and mathematical Entity Linking are presented and it is indicated that mathematical entities have the potential to provide high explainability as they are a crucial part of a STEM document.

zbMATH Open: API Solutions and Research Challenges

- Computer ScienceDISCO@JCDL
- 2021

The current and future overview of the services offered by zbMATH are illustrated, the initial version of the zb MATH links API is presented, and potentials and limitations of the links API are analyzed based on the example of the NIST Digital Library of Mathematical Functions.

zbMATHOpen: API Solutions and Research Challenges

- 2021

We present zbMATH Open, the most comprehensive collection of reviews and bibliographic metadata of scholarly literature in mathematics. Besides our website zbMATH.org which is openly accessible since…

## References

SHOWING 1-10 OF 35 REFERENCES

Representing Mathematical Formulae in Content MathML using Wikidata

- Computer ScienceBIRNDL@SIGIR
- 2018

In this paper, we describe how to represent mathematical formulae in Content MathML referring to the open knowledge-base Wikidata for the grounding of the semantics. By doing so, we link identifiers…

Discovering Mathematical Objects of Interest—A Study of Mathematical Notations

- Computer ScienceWWW
- 2020

This paper presents the first in-depth study on the distributions of mathematical notation in two large scientific corpora: the open access arXiv and the mathematical reviewing service for pure and applied mathematics zbMATH, and exemplifies the applicability of the results by presenting auto-completion for math inputs as the first contribution to math recommendation systems.

- 2020

- 2020

- 2020

ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open?

- Computer ScienceCLEF
- 2020

The ARQMath Task at CLEF 2020 aims to tackle the problem of linking newly posted questions from Math Stack Exchange (MSE) to existing ones that were already answered by the community, and several formula retrieval methods were explored.

AutoMSC: Automatic Assignment of Mathematics Subject Classification Labels

- Computer ScienceCICM
- 2020

This paper investigates the feasibility of automatically assigning a coarse-grained primary classification using the MSC scheme, by regarding the problem as a multi class classification machine learning task.

Automatic Tag Recommendation for News Articles

- Computer ScienceICAI
- 2020

An automatic neural tag recommendation system for Hungarian news articles and the results of the experiments concerning the effect of preprocessing applied to the texts and various parameter settings are presented.

Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language

- Computer ScienceJCDL
- 2020

It is shown that the computer outperforms a human expert when classifying documents and the classification and clustering can be employed, e.g., for document search and recommendation.

Discovering Mathematical 32https://phabricator.wikimedia.org/T208758 Objects of Interest - A Study of Mathematical Notations. InWWW

- IW3C2,
- 2020