Overview: Mathematical Markup Language (MathML) Version 2.0
Next: 2 MathML Fundamentals
1.1 Mathematics and its Notation
1.2 Origins and Goals
1.2.1 The History of MathML
1.2.3 Limitations of HTML
1.2.4 Requirements for Mathematics Markup
1.2.5 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
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 [Pierce1961]. 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 mathematics on the World Wide Web is to capture both notation and content (that is, meaning) in such a way that documents can utilize the highly-evolved notational forms of written and printed mathematics, and the potential for interconnectivity in electronic media.
Mathematical notations are constantly evolving as people continue to make innovations in 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 [Cajori1928]. 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 usual text italic. Spacing around symbols for operations such as +, -, × 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, [Chaundy1954], [Swanson1979],[Swanson1999], [Higham1993], or in the TEX literature [Knuth1986] and [Spivak1986]).
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 perhaps even more important for electronic media, where one must contend with the difficulties of on-screen reading.
However, there is more to putting mathematics 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.
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 [Knuth1986], were already in wide use in 1992 just before the Web rose to prominence, [Poppelier1992].
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 possibilities for including mathematical expressions in HTML has been very limited. At present, most mathematics on the Web consists of text with images of scientific notation (in GIF or JPEG format), which are difficult to read and to author, or of entire documents in PDF form.
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 mathematical 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; this expertise 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 mathematical encoding efforts in the SGML and computer-algebra communities, including Stephen Buswell from Stilo Technologies, Nico Poppelier (then with Elsevier Science), Stéphane Dalmas from INRIA (Sophia Antipolis), Stan Devitt at first with 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' mathematics 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 benefited from the help of many other people in developing the specification for MathML 1.0. 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 [Characters, Entities and Fonts], 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.
As the Math Working Group went on to MathML 2.0 it again was helped by many from the W3C family of Working Groups with whom we necessarily had a great deal of interaction. Outside the W3C, a particularly active relevant front was the interface with the Unicode Technical Committee (UTC) and the NTSC WG2 dealing with ISO 10646. There the STIX project put together a proposal for the addition of characters for mathematical notation to Unicode, and this work was again spear-headed by Barbara Beeton of the AMS. The whole problem ended split into three proposals, two of which were advanced by Murray Sargent of Microsoft, a Math WG member and member of the UTC. But the mathematical community should be grateful for essential help and guidance over a couple of years of refinement of the proposals to help mathematics provided by Kenneth Whistler of Oracle, and a UTC and WG2 member. Asmus Freitag, also involved in the UTC and WG2 deliberations was also a stalwart supporter of the needs of scientific notation.
The demand for effective means of electronic scientific communication remains high. Ever increasingly, researchers, scientists, engineers, educators, students and technicians find themselves working at dispersed locations 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 which is an example with the equation's horizontal alignment axis above the tops of the lower-case letters in surrounding text.
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, resulting in the equation becoming 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 as images will be around 70 dots per inch, while the surrounding text will typically be 300, 600 or more dots per inch. The disparity in quality is judged to be unacceptable by most people.
Encoding Problems. Consider trying to search this document
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 sub-expression. Using image-based methods, neither of these common needs
can be adequately addressed. Although the use of the
alt 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. Markup describing an equation is
typically smaller and more compressible than an image of the equation.
Also by using markup-based encoding, more of the rendering process is moved
to the client machine.
Some display problems associated with including mathematical notation in HTML documents as images could be addressed by improving image handling by browsers. 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 merely to upgrade image-based methods. To integrate mathematical material fully into Web documents, a markup-based encoding of mathematical notation and content is required.
In designing any markup language, it is essential to consider carefully 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 prophesied the end of big-campus residential higher education and its distribution over the Web [Drucker1997]. Electronic textbooks will need to be interactive, allowing intercommunication between the text and scientific software and graphics.
The academic and commercial research communities generate large volumes of dense scientific material. Increasingly, research publications are being stored in databases, such as the highly successful physics preprint server and archive, www.arXiv.org, which replaces xxx.lanl.gov, 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 addition, databases of information on mathematical research, such as Mathematical Reviews and Zentralblatt für Mathematik, offer millions of records on the Web containing mathematics.
To accommodate the research community, a design for mathematical markup must facilitate the maintenance and operation of large document collections, for which automatic searching and indexing are important. Because of the large collection of legacy documents, for mathematics especially in TEX, the ability to convert between existing formats and any new one 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, mathematics on the Web must provide a standard way of sharing information that can be easily read, processed and generated using commonly available, easy-to-use tools.
Another general 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 mathematics on the Web at all levels from electronic versions of print books to interactive textbooks and academic journals. Publishers require a method of putting mathematics on the Web that is capable of high-quality output, robust enough for large-scale commercial use, and preferably compatible with their previous, often SGML-based, production systems.
In order to meet the diverse needs of the scientific community, MathML has been designed with the following ultimate goals in mind.
No matter how successfully MathML may 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.
These goals have begun to be addressed for 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 has continued to work with the working groups for the Document Object Model (DOM) and the Extensible Style Language (XSL) to ensure that the needs of the scientific community will be met in the future, and feels that MathML 2.0 shows considerable progress in this area over the situation that obtained at the time of the MathML 1.0 Recommendation (April 1998).
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 mathematics 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 into Web pages. In general, specific user groups are better served by 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 mathematics on the Web should provide for both specialized and general needs 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, which are capable of easily generating encoded mathematical data which can then be shared with a particular audience.
MathML is designed to provide the encoding of mathematical information 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, raw MathML markup is not primarily intended for direct use by authors. While MathML is human-readable, which helps a lot in debugging it, 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 PostScript files 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 layer 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 mathematics 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 Web page containing MathML, 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. To render high-quality printed mathematics the MathML encoding will often be converted back to standard typesetting and composition languages, including TEX which is widely appreciated for the job it does in this regard. Finally, one may expect that eventually MathML will be integrated into other arenas where mathematical formulas occur, such as spreadsheets, statistical packages and engineering tools.
The W3C Math working group has been working with vendors to ensure that a variety of MathML software will soon be available, including both rendering and authoring tools. A current list of MathML software is maintained on the public Math page at the World Wide Web Consortium .
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 mathematics 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.
Perhaps the most important influence on mathematical markup languages of the last two decades is the TEX typesetting system developed by Donald Knuth [Knuth1986]. 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 mathematics 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 DTD fragment primarily intended for describing the visual presentation of mathematical notation. Because ISO 12083 mathematical notation 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 ISO 12083.
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 work by Stilo Technologies on a mathematical DTD fragment. The OpenMath project has close ties to both the SGML and computer algebra communities, and has laid a foundation for an SGML- and XML-based means of communication between mathematical software packages, amongst other things. The feasibility of both generating and interpreting MathML in computer algebra systems has been demonstrated by prototype software.
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 accommodate new extensions to HTML. At the very beginning the working group began its work thinking of a plain extension to HTML in the spirit of the first mathematics support suggested for HTML 3.2. But for a good number of 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 dominant such general extension mechanism.
XML stands for Extensible Markup Language. It is designed as a simplified version of SGML (Standard Generalized Markup Language), 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 the general mechanism for extending HTML. As its name implies, extensibility is a key feature of XML; authors are free to declare and use new elements and attributes. At the same time, XML grammar and syntax rules carefully enforce regular document structure to facilitate automatic processing and maintenance of large document collections. Mathematically speaking XML is essentially a notation for decorated rooted planar trees, and thus of great generality as an encoding tool.
Since the setting up of the first W3C Math Working Group, XML has garnered broad industry support including that of major browser vendors. The migration of HTML to an XML form has been important to the W3C, and has resulted in the XHTML Recommendation which delivers a new modularized form of HTML. MathML can be viewed as another module which fits very well with the new XHTML. Indeed in Appendix A [Parsing MathML] there is a new DTD for math which is the result of collaboration with the W3C HTML Working Group.
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 has made a great deal of sense to specify MathML as an XML application.
By now, as opposed to the situation when the MathML 1.0 Recommendation was adopted, the details of a general model for rendering and processing XML extensions to HTML are largely 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 stylistic control over the presentation of MathML. Further development of these Formatting Properties falls within the charters of both the CSS&FP and the XSL working groups. For an introduction to this topic see the discussion in Chapter 7 [The MathML Interface]. For detailed commentary on how to render MathML with current systems consult the W3C Math WG Home Page.
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 is already possible to instruct a browser to use a particular embedded renderer to process embedded XML markup such as MathML, and to coordinate the resulting output with the surrounding Web page, however the results are not yet entirely as one wishes. See Chapter 7 [The MathML Interface].
For specialized processing, such as connecting to a computer algebra system, the capability of calling out to other programs is likely to remain highly desirable. However, for such an interaction to be really satisfactory, it is 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 has coordinated its efforts closely with the Document Object Model (DOM) working group. The results are described in Chapter 8.
For processing by embedded elements, and for inter-communication between scientific software generally, a style sheet-based layout model is in some ways less than ideal. 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
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.
The use of CSS style sheet mechanisms has been mentioned above. The mechanisms of XSL have also recently become available for the transformation of XML documents to effect their rendering. Indeed the alternative forms of this present recommendation, including the definitive public HTML version, have been prepared from an underlying XML source using XSL transformation language tools. As further developments in this direction 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.
Overview: Mathematical Markup Language (MathML) Version 2.0
Next: 2 MathML Fundamentals