# About

## The tool

SearchOnMath is a search engine designed especially for mathematical content from several areas of knowledge.

Unlike traditional, text-only search tools, SearchOnMath is able to search for mathematical formulas and/or
text. Its index has millions of different formulas, coming from the following domains:

### Web Index:

- MathOverflow
- NIST DLMF
- nLab
- Physics Forums
- PlanetMath
- StackExchange - Computational Science
- StackExchange - Computer Science
- StackExchange - Engineering
- StackExchange - Cross Validated
- StackExchange - Artificial Intelligence
- StackExchange - Quantum Computing
- StackExchange - Internet of Things
- StackExchange - Mathematics Educators
- StackExchange - Mathematics
- StackExchange - Physics
- Socratic
- Wikipedia (English version)
- Wolfram MathWorld

### Scientific Index:

## Brief history...

The SearchOnMath project began in August 2008 as part of the PhD work of
*Flavio Barbieri Gonzaga*
at the Federal University of Rio de Janeiro. His advisers were
*Valmir Carneiro Barbosa*
and
*Geraldo Bonorino Xexéo*.

Later in that same year Flavio joined the faculty of the Federal University of Alfenas. Over the years, while Flavio, Valmir, and Xexéo worked on the major aspects of the mathematical search engine, undergraduate students developed extra features related to the project. A few milestones follow.

In 2009,
*Geraldo Lucas Jardim Cordeiro*
put together a comprehensive list of mathematical symbols and operators
in MathML. From this study resulted the first prototype interface of the
tool.

In 2012 and 2013,
*Renata Vieira Nobre* expanded
the set of symbols and operators compiled by Geraldo, by analyzing the
formulas of DLMF. This helped in the consolidation of the symbol and
operator set that is part of the current version of SearchOnMath.

In March 2013, Flavio finished his doctorate and the first version of
SearchOnMath was released. This version had contributions by
*Jan Victor Soares* and
*Victor Carvalho* on the web
interface.

In July 2014, the current version of SearchOnMath was launched. Its web
interface was developed by
*Talysson Oliveira Cassiano*
and improved by
*Caique H. dos Santos Matos* in
the following years.
*Daniel Fernandes Rey* developed
some features in the backend.

In 2015 SearchOnMath became an incubated start-up at NidusTec, the business incubator of Federal University of Alfenas.

Still in 2015, SearchOnMath joined the Microsoft BizSpark program, becoming a graduate in 2018.

In 2021, SearchOnMath was approved for the "Programa Centelha" with the purpose of developing a prototype of its search engine for arXiv content. The "Programa Centelha" is a Brazilian government initiative that supports startup companies.

This prototype was created with the financial support of the following:

- Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
- Financiadora de Estudos e Projetos (FINEP)
- Ministério da Ciência, Tecnologia e Inovações (MCTI)

Still in 2021, SearchOnMath joined the AWS EdStart program.

In 2022, SearchOnMath graduated from the NidusTec business incubator program.

In 2023, SearchOnMath graduated from the AWS EdStart program.

## The present

In 2023, SearchOnMath joined the Google for Startups Cloud Program. A new version of the search engine for scientific papers from arXiv has been released, and it is available to subscribers, including universities and research centers, at searchonmath.com/arxiv.

SearchOnMath is in continual development by its current partners: Flavio
Barbieri Gonzaga, Valmir Carneiro Barbosa,
*Gustavo Carvalho Souza*,
*Mario Augusto F. Bueno Filho*,
*José Carlos T. da Silva*, and
*Reuel Ramos Ribeiro*.

It currently performs its search (for mathematical formulas and/or text) on several bases of mathematical knowledge available on the Internet. The basic operation of mathematical search consists of two main elements, as follows.

Lexical analysis. This makes representation independent of notation. For example, variables can be defined with Roman letters (x, y, z, x_0, x_1, …), Greek letters (α, β, …), and so on. A similar type of flexibility is present also in various other mathematical elements, all handled by SearchOnMath.

Degree of similarity. Following the lexical analysis, a powerful engine compares the structure of the target formula with that of the other formulas contained in the database. Formulas that are more similar in structure tend to appear first on the results page.

The rendering of formulas is carried out by the MathJax tool. SearchOnMath is the first search engine to use MathJax.

A query containing both textual and mathematical elements results in a set of pages containing information of both types. That is, some textual content related to the words in the query and at least one formula with some degree of similarity to the one that was submitted.

We would love to hear about your experience with SearchOnMath. Please let us know, either by email to contact [at] searchonmath.com, or through our social-network profiles.