Up: Table of Contents | REC-MathML-19980407

# 1. Introduction

- 1.1 Mathematics and its Notation
- 1.2 Origins and Goals
  - 1.2.1 The History of MathML
  - 1.2.2 Limitations of HTML
  - 1.2.3 Requirements for Math Markup
  - 1.2.4 Design Goals of MathML
- 1.3 The Role of MathML on the Web
  - 1.3.1 Layered Design of Mathematical Web Services
  - 1.3.2 Relation to Other Web Technology

## 1.1 Mathematics and its Notation

A distinguishing feature of mathematics is the use of a complex and highly evolved system of two-dimensional symbolic notations. As J. R. Pierce has written in his book on communication theory, mathematics and its notations should not be viewed as one and the same thing [Pierce 1961]. Mathematical ideas exist independently of the notations that represent them. However, the relation between meaning and notation is subtle, and part of the power of mathematics to describe and analyze derives from its ability to represent and manipulate ideas in symbolic form. The challenge in putting math on the Web is to capture both notation and content in such a way that documents can utilize the highly-evolved notational practices of print, and the potential for interconnectivity in electronic media.

Mathematical notations are constantly evolving as people continue to discover innovative ways of approaching and expressing ideas. Even the commonplace notations of arithmetic have gone through an amazing variety of styles, including many defunct ones advocated by leading mathematical figures of their day [Cajori 1928/1929]. Modern mathematical notation is the product of centuries of refinement, and the notational conventions for high-quality typesetting are quite complicated. For example, variables, or letters which stand for numbers, are usually typeset today in a special italic font subtly distinct from the text italic. Spacing around symbols for operations such as +, -, x and / is slightly different from that of text, to reflect conventions about operator precedence. Entire books have been devoted to the conventions of mathematical typesetting, from the alignment of superscripts and subscripts, to rules for choosing parenthesis sizes, to specialized notational practices for subfields of mathematics [for instance, Chaudry, Barret and Batey, 1954, Swanson 1979, Higham 1993, or in the TeX literature Knuth 1986, and Spivak 1986].

Notational conventions in mathematics, and printed text in general, guide the eye and make printed expressions much easier to read and understand. Though we usually take them for granted, we rely on hundreds of conventions such as paragraphs, capital letters, font families and cases, and even the device of decimal-like numbering of sections such as we are using in this document (an invention due to G. Peano, who is probably better known for his axioms for the natural numbers). Such notational conventions are even more important for electronic media, where one must contend with the difficulties of on-screen reading.

However, there is more to putting math on the Web than merely finding ways of displaying traditional mathematical notation in a Web browser. The Web represents a fundamental change in the underlying metaphor for knowledge storage, a change in which interconnectivity plays a central role. It is becoming increasingly important to find ways of communicating mathematics which facilitate automatic processing, searching and indexing, and reuse in other mathematical applications and contexts. With this advance in communication technology, there is an opportunity to expand our ability to represent, encode, and ultimately to communicate our mathematical insights and understanding with each other. We believe that MathML is an important step in developing Mathematics on the Web.

## 1.2 Origins and Goals

### 1.2.1 The History of MathML

The problem of encoding mathematics for computer processing or electronic communication is much older than the Web. The common practice among scientists before the Web was to write papers in some encoded form based on the ASCII character set, and e-mail them to each other. Several markup methods for mathematics, in particular TeX [Knuth 1986], were already in wide use in 1992, just before the Web rose to prominence, [Poppelier, van Herwijnen and Rowley 1992].

Since its inception, the Web has demonstrated itself to be a very effective method of making information available to widely separated groups of individuals. However, even though the World Wide Web was initially conceived and implemented by scientists for scientists, the capability to include mathematical expressions in HTML is very limited. At present, most mathematics on the Web consists of text with GIF images of scientific notation, which are difficult to read and to author.

The World Wide Web Consortium (W3C) recognized that lack of support for scientific communication was a serious problem. Dave Raggett included a proposal for HTML Math in the HTML 3.0 working draft in 1994. A panel discussion on math markup was held at the WWW Conference in Darmstadt in April 1995. In November 1995, representatives from Wolfram Research presented a proposal for doing math in HTML to the W3C team. In May 1996, the Digital Library Initiative meeting in Champaign-Urbana played an important role in bringing together many interested parties. Following the meeting, an HTML Math Editorial Review Board was formed. In the intervening years, this group has grown, and was formally reconstituted as the W3C Math working group in March 1997.

The MathML proposal reflects the interests and expertise of a very diverse group. Many contributions to the development of MathML deserve special mention, some of which we touch on here. One such contribution concerns the question of accessibility, especially for the visually handicapped. T. V. Raman is particularly notable in this regard. Neil Soiffer and Bruce Smith from Wolfram Research shared their experience with the problems of representing mathematics in connection with the design of Mathematica 3.0, which was an important influence in the design of the presentation elements. Paul Topping from Design Science also contributed his expertise in mathematical formatting and editing. MathML has benefited from the participation of a number of working group members involved in other math encoding efforts in the SGML and computer algebra communities, including Stephen Buswell from Stilo, Nico Poppelier from Elsevier Science, Stéphane Dalmas from INRIA, Stan Devitt from Waterloo Maple, Angel Diaz and Robert S. Sutor from IBM, and Stephen M. Watt from the University of Western Ontario. In particular, MathML has been influenced by the OpenMath project, the work of the ISO 12083 working group, and Stilo Technologies' work on a 'semantic' math DTD fragment. The American Mathematical Society has played a key role in the development of MathML. Among other things, it has provided two working group chairs: Ron Whitney led the group from May 1996 to March 1997, and Patrick Ion, who has co-chaired the group with Robert Miner from The Geometry Center, from March 1997 to the present.

The working group has benefitted from the help of many people. We would like to particularly name Barbara Beeton, Chris Hamlin, John Jenkins, Ira Polans, Arthur Smith, Robby Villegas and Joe Yurvati for help and information in assembling the character tables in chapter 6, as well as Peter Flynn, Russel S. S. O'Connor, Andreas Strotmann, and other contributors to the www-math mailing list for their careful proofreading and constructive criticisms.

### 1.2.2 Limitations of HTML

The demand for effective means of electronic scientific communication is high. Increasingly, researchers, scientists, engineers, educators, students and technicians find themselves working remotely and relying on electronic communication. At the same time, the image-based methods that are currently the predominant means of transmitting scientific notation over the Web are primitive and inadequate. Document quality is poor, authoring is difficult, and mathematical information contained in images is not available for searching, indexing, or reuse in other applications.

The most obvious problems with HTML for mathematical communication are of two types:

Display Problems. Consider the equation . This equation is sized to match the surrounding line in 14pt type on the system where it was authored. Of course, on other systems, or for other font sizes, the equation is too small or too large. A second point to observe is that the equation image was generated against a white background. Thus, if a reader or browser resets the page background to another color, the anti-aliasing in the image results in white "halos." Next, consider the equation . This equation has a descender which places the baseline for the equation at a point about a third of the way from the bottom of the image. One can pad the image like this: , so that the centerline of the image and the baseline of the equation coincide, but this causes problems with the inter-line spacing, which also makes the equation difficult to read. Moreover, center alignment of images is handled in slightly different ways by different browsers, making it impossible to guarantee proper alignment for different clients.

Image-based equations are generally harder to see, read and comprehend than the surrounding text in the browser window. Moreover, these problems become worse when the document is printed. The resolution of the equations will be around 70 dots per inch, while the surrounding text will typically be 300 or more dots per inch. The disparity in quality is judged to be unacceptable by most people.

Encoding Problems. Consider trying to search this page for part of an equation, for example, the "=10" from the first equation above. In a similar vein, consider trying to cut and paste an equation into another application; even more demanding is to cut and paste a subexpression. Using image based methods, neither of these common needs can be adequately addressed. Although the use of ALT text in the document source can help, it is clear that highly interactive Web documents must provide a more sophisticated interface between browsers and mathematical notation. Another problem with encoding mathematics as images is that it requires more bandwidth. By using markup-based encoding, more of the rendering process is moved to the client machine. Markup describing an equation is typically smaller and more compressible than an image of the equation.

### 1.2.3 Requirements for Math Markup

Some display problems associated with including math notation in HTML documents as images could be addressed by improving browser image handling. However, even if image handling were improved, the problem of making the information contained in mathematical expressions available to other applications would remain. Therefore, in planning for the future, it is not sufficient to merely upgrade image-based methods. To fully integrate mathematical material into Web documents, a markup-based encoding of mathematical notation and content is required.

In designing any markup language, it is essential to carefully consider the needs of its potential users. In the case of MathML, the needs of potential users cover a broad spectrum, from education to research, and on to commerce:

The education community is a large and important group that must be able to put scientific curriculum materials on the Web. At the same time, educators often have limited resources of time and equipment, and are severely hampered by the difficulty of authoring technical Web documents. Students and teachers need to be able to create mathematical content quickly and easily, using intuitive, easy-to-learn, low-cost tools.

Electronic textbooks are another way of using the Web which will potentially be very important in education. Management consultant Peter Drucker has recently been prophesying the end of big-campus residential higher education and its distribution over the Web [Drucker 1997]. Electronic textbooks will need to be active, allowing intercommunication between the text and scientific software and graphics.

The academic research community generates large volumes of dense scientific material. Increasingly, research publications are being stored in databases, such as the highly successful physics preprint server at Los Alamos National Laboratory. This is especially true in some areas of physics and mathematics where academic journal prices have been increasing at an unsustainable rate. In mathematics there are large collections at Duke, MSRI and SISSA, and on the AMS e-MATH server. In addition, databases of information on mathematical research, such as Mathematical Reviews and Zentralblatt für Mathematik, offer on the Web millions of records containing math.

To accommodate the research community, a design for math markup must facilitate the maintenance and operation of large document collections, where automatic searching and indexing are important. Because of the large collection of legacy data, especially TeX documents, the ability to convert between existing formats and new formats is also very important to the research community. Finally, the ability to maintain information for archival purposes is vital to academic research.

Corporate and academic scientists and engineers also use technical documents in their work to collaborate, to record results of experiments and computer simulations, and to verify calculations. For such uses, math on the Web must provide a standard way of sharing information that can be easily read, processed and generated using commonly available tools.

Another design requirement is the ability to render mathematical material in other media such as speech or braille, which is extremely important for the visually impaired.

Commercial publishers are also involved with math on the Web at all levels from electronic versions of print books to interactive textbooks to academic journals. Publishers require a method of putting math on the Web that is capable of high-quality output, robust enough for large-scale commercial use, and preferably compatible with their current, usually SGML-based, production systems.

### 1.2.4 Design Goals of MathML

In order to meet the diverse needs of the scientific community, MathML has been designed with the following ultimate goals in mind.

MathML should:

- encode mathematical material suitable for teaching and scientific communication at all levels.
- encode both mathematical notation and mathematical meaning.
- facilitate conversion to and from other math formats, both presentational and semantic. Output formats should include:
  - graphical displays
  - speech synthesizers
  - computer algebra systems' input
  - other math layout languages, such as TeX
  - plain text displays, e.g. VT100 emulators
  - print media, including braille
  It is recognized that conversion to and from other notational systems or media may entail loss of information in the process.
- allow the passing of information intended for specific renderers and applications.
- support efficient browsing for lengthy expressions.
- provide for extensibility.
- be well suited to template and other math editing techniques.
- be human legible, and simple for software to generate and process.

No matter how successfully MathML might achieve its goals as a markup language, it is clear that MathML will only be useful if it is implemented well. To this end, the W3C Math working group has identified a short list of additional implementation goals. These goals attempt to describe concisely the minimal functionality MathML rendering and processing software should try to provide.

- MathML equations in HTML pages should render properly in popular Web browsers, in accordance with reader and author viewing preferences, and at the highest quality possible given the capabilities of the platform.
- HTML documents containing MathML equations should print properly and at high-quality printer resolutions.
- MathML equations in Web pages should be able to react to mouse gestures, and coordinate communication with other applications through the browser.
- Equation editors and converters should be developed to facilitate the creation of Web pages containing MathML equations.

These goals can probably be adequately addressed in the near term by using embedded elements such as Java applets, plug-ins and ActiveX controls to render MathML. However, the extent to which these goals are ultimately met depends on the cooperation and support of browser vendors, and other software developers. The W3C Math working group will continue to work with the Document Object Model working group and the proposed Extensible Style Language working group to ensure that the needs of the scientific community will be met in the future.

## 1.3 The Role of MathML on the Web

### 1.3.1 Layered Design of Mathematical Web Services

The design goals of MathML require a system for encoding mathematical material for the Web which is flexible and extensible, suitable for interaction with external software, and capable of producing high-quality rendering in several media. Any markup language that encodes enough information to do all these tasks well will of necessity involve some complexity.

At the same time, it is important for many groups, such as students, to have simple ways to include math in Web pages by hand. Similarly, other groups, such as the TeX community, would be best served by a system which allowed the direct entry of markup languages like TeX in Web pages. In general, specific user groups are better served by more specialized kinds of input and output tailored to their needs. Therefore, the ideal system for communicating mathematics on the Web should provide both specialized services for input and output, and general services for interchange of information and rendering to multiple media.

In practical terms, the observation that math on the Web should provide for both specialized and general need naturally leads to the idea of a layered architecture. One layer consists of powerful, general software tools exchanging, processing and rendering suitably encoded mathematical data. A second layer consists of specialized software tools aimed at specific user groups, and which are capable of easily generating encoded mathematical data which can then be shared with a general audience.

MathML is designed to provide the encoding of mathematical data for the bottom, more general layer in a two-layer architecture. It is intended to encode complex notational and semantic structure in an explicit, regular, and easy to process way for renderers, searching and indexing software, and other mathematical applications.

As a consequence, MathML is not primarily intended for direct use by authors. While MathML is human-readable, in all but the simplest cases it is too verbose and error-prone for hand generation. Instead, it is anticipated that authors will use equation editors, conversion programs, and other specialized software tools to generate MathML. Alternatively, some renderers may convert other kinds of input directly included in Web pages into MathML on the fly, in response to a cut-and-paste operation, for example.

In some ways, MathML is analogous to other low-level, communication formats such as Adobe's PostScript language. You can create a PostScript file in a variety of ways, depending on your needs; experts write and modify them by hand, authors create them with word processors, graphic artists with illustration programs, and so on. Once you have a PostScript file, however, you can share it with a very large audience, since devices which render PostScript, such as printers and screen previewers, are widely available.

Part of the reason for designing MathML as a markup language for a low-level, general, communication layer is to stimulate mathematical Web software development in the layers above. MathML provides a way of coordinating the development of modular authoring tools and rendering software. By making it easier to develop a functional piece of a larger system, MathML can stimulate a "critical mass" of software development, greatly to the benefit of potential users of math on the Web.

One can envision a similar situation for mathematical data. Authors are free to create MathML documents using the tools best suited to their needs. For example, a student might prefer to use a menu-driven equation editor that can write out MathML to an HTML file. A researcher might use a computer algebra package that automatically encodes the mathematical content of an expression, so that it can be cut from a Web page and evaluated by a colleague. An academic journal publisher might use a program that converts TeX markup to HTML and MathML. Regardless of the method used to create a MathML web page, once it exists, all the advantages of a powerful and general communication layer become available. A variety of MathML software could all be used with the same document to render it in speech or print, to send it to a computer algebra system, or to manage it as part of a large Web document collection. One may expect that eventually MathML can be integrated into other arenas where mathematical formulas occur, such as spreadsheets, statistical packages and engineering tools.

The W3C Math working group is working with vendors to ensure that a wide variety of MathML software will soon be available, including both rendering and authoring tools. A current list of MathML software is maintained at the World Wide Web Consortium.

### 1.3.2 Relation to Other Web Technology

The original conception of HTML Math was a simple, straightforward extension to HTML that would be natively implemented in browsers. However, very early on, the explosive growth of the Web made it clear that a general extension mechanism was required, and that math was only one of many kinds of structured data which would have to be integrated into the Web using such a mechanism.

Given that MathML must integrate into the Web as an extension, it is extremely important that MathML and MathML software can interact well with the existing Web environment. In particular, MathML has been designed with three kinds of interaction in mind. First, in order to create mathematical Web content, it is important that existing mathematical markup languages can be converted to MathML, and that existing authoring tools can be modified to generate MathML. Second, it must be possible to embed MathML markup seamlessly in HTML markup in such a way that it will be accessible to future browsers, search engines, and all kinds of Web applications which now manipulate HTML. Finally, it must be possible to render MathML embedded in HTML in today's web browsers in some fashion, even if it is less than ideal.

#### Existing Mathematical Markup Languages

Perhaps the most important influence on mathematical markup languages of the last two decades is the TeX typesetting system developed by Donald Knuth [Knuth 1986]. TeX is a de facto standard in the mathematical research community, and it is pervasive in the scientific community at large. TeX sets a standard for quality of visual rendering, and a great deal of effort has gone into ensuring MathML can provide the same visual rendering quality. Moreover, because of the many legacy documents in TeX, and because of the large authoring community versed in TeX, a priority in the design of MathML was the ability to convert TeX math input into MathML format. The feasibility of such conversion has been demonstrated by prototype software.

Extensive work on encoding mathematics has also been done in the SGML community, and SGML-based encoding schemes are widely used by commercial publishers. ISO 12083 is an important markup language which contains a math DTD fragment primarily intended for describing the visual presentation of mathematical notation. Because ISO 12083 math and its derivatives share many presentational aspects with TeX, and because SGML enforces structure and regularity more than TeX, much of the work in ensuring MathML is compatible with TeX also applies well to ISO12083.

MathML also pays particular attention to compatibility with other mathematical software, and in particular, with computer algebra systems. Many of the presentation elements of MathML are derived in part from the mechanism of typesetting boxes. The MathML content elements are heavily indebted to the OpenMath project and the Semantic Maths DTD. The OpenMath project has close ties to both the SGML and computer algebra communities, and has laid a foundation for an SGML-based means of communication between mathematical software packages, among other things. The feasibility of both generating and interpreting MathML in computer algebra systems has been demonstrated by prototype software.

#### HTML Extension Mechanisms

As noted above, the success of HTML has led to enormous pressure to incorporate a wide variety of data types and software applications into the Web. Each new format or application potentially places new demands on HTML and on browser vendors. For some time, it has been clear that a general extension mechanism is necessary to accomodate new extensions to HTML. We began our work thinking of a plain extension to HTML in the spirit of the first math support suggested for HTML 3.2. But for various reasons, once we got into the details this proved to be not so good an idea. Since work first began on MathML, XML has emerged as the leading candidate for such a general extension mechanism.

XML stands for Extensible Markup Language. It is designed as a simplified version of SGML, the meta-language used to define the grammar and syntax of HTML. One of the goals of XML is to be suitable for use on the Web, and in the context of this discussion it can be viewed as a general mechanism for extending HTML. As its name implies, extensibility is a key feature of XML; authors are free to declare and use new tags and attributes. At the same time, XML grammar and syntax rules carefully enforces document structure to facilitate automatic processing and maintenance of large document collections.

Though details about how XML markup will ultimately be embedded in HTML remain to be resolved, XML has garnered broad industry support including major browser vendors. Devising a standard way of embedding XML in HTML is also important with the W3C. Furthermore, other applications of XML for all kinds of document publishing and processing promise to become increasingly important. Consequently, both on theoretical and pragmatic grounds, it makes a great deal of sense to specify MathML as an XML application, and we have done so.

#### Browser Extension Mechanisms

While details of a general model for rendering and processing XML extensions to HTML is still being being resolved, broad features of the model are already fairly clear. Formatting Properties developed by the Cascading Style Sheets and Formatting Properties Working Group for CSS and made available through the Document Object Model (DOM) will be applied to MathML elements to obtain some stylistic control over the presentation of MathML. Further development of these Formatting Properties falls within the charter of both the CSS&FP and the XSL working groups. Thus, it may soon be possible to write a style sheet which will largely describe the correct display of MathML.

MathML was designed with the goal of style sheet-based rendering in mind. It is the intention of the W3C Math Working Group to work closely with W3C style sheet activities to ensure both that adequate support for MathML is incorporated into future style sheet mechanisms, and that MathML style sheets are developed. In particular, providing for adequate follow-on activities beyond the scope of the W3C Math working group charter is a high priority.

Until style sheet mechanisms are capable of delivering native browser rendering of MathML, however, it is necessary to extend browser capabilities by using embedded elements to render MathML. It may soon be possible to instruct a browser to use a particular embedded renderer to process embedded XML markup such as MathML, and coordinate the resulting output with the surrounding Web page. Indeed, for specialized processing, such as connecting to a computer algebra system, this capability is likely to remain highly desirable. However, for this kind of interaction to be really satisfactory, it will be necessary to define a document object model rich enough to facilitate complicated interactions between browsers and embedded elements. For this reason, the W3C Math working group is coordinating its efforts closely with the Document Object Model working group.

For processing by embedded elements, and for inter-communication between scientific software generally, a style sheet-based layout model is less than ideal in some ways. It can impose an additional implementation burden in a setting where it may offer few advantages, and it imposes implementation requirements for coordination between browsers and embedded renderers that will likely be unavailable in the immediate future.

For these reasons, the MathML specification defines an attribute-based layout model, which has proven very effective for high-quality rendering of complicated mathematical expressions in several independent implementations. MathML presentation attributes utilize W3C Formatting Properties where possible. Also, MathML elements accept class, style and id attributes to facilitate their use with CSS style sheets. However, at present, there are few settings where CSS machinery is currently available to MathML renderers.

When style sheet mechanisms become available to MathML, it is anticipated their use will become the dominant method of stylistic control of MathML presentation meant for use in rendering environments which support those mechanisms.

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