The text/enriched MIME Content-type

Resnick, P.; Walker, Adrienne

doi:10.17487/rfc1896

Cited by 3 publications

(1 citation statement)

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“…They are very similar to the normal (text only) Mizar abstracts, however they also contain additional information that disambiguates all the symbols present in them to the appropriate constructors. This is quite similar to, e.g., HTML-linked abstracts (which can be created by the MMLQuery in a very similar way), but the encoding (a customization of the text/enriched MIME Content-type [9][10][11], which we currently call text/mmlquery) is much more suitable for fast loading and browsing of the MMLQuery abstracts in the MizarMode, and it is also compatible with the Constructor Explanations. The MMLQuery abstracts are not yet distributed with Mizar.…”

Section: Semantic Disambiguation and Browsingmentioning

confidence: 95%

MizarMode—an integrated proof assistance tool for the Mizar way of formalizing mathematics

Urban

2006

Journal of Applied Logic

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The Emacs authoring environment for Mizar (MizarMode) is today the authoring tool of choice for many (probably the majority of) Mizar authors. This article describes the MizarMode and focuses on the proof assistance functions and tools available in it.We start with the explanation of the design principles behind the Mizar system, and show how these design principles-mainly the concentration on simple and intuitive human-oriented proofshave helped Mizar in developing and maintaining a very large body of formalized mathematics.Mizar is a non-programmable and non-tactical verifier: the proofs are developed in the traditional "write-compile-correct" software programming loop. While this method is in the beginning more laborious than the methods employed in tactical and programmable proof assistants, it makes the "proof code" in the long-run more readable, maintainable and reusable. This seems to be a crucial factor for a long-term and large-scale formalization effort.MizarMode has been designed with the aim to facilitate this kind of proof development by a number of "code-generating", "code-browsing" and "code-searching" methods, and tools programmed or integrated within it. These methods and tools now include, e.g., the automated generation of proof skeletons, semantic browsing of the articles and abstracts, structured viewing, proof advice using trained machine learning tools like the Mizar Proof Advisor, deductive tools like MoMM, etc. We give an overview of these proof-assistance tools and their integration in the MizarMode, and also discuss some emerging and future extensions such as integration of external theorem proving assistance.

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Section: Semantic Disambiguation and Browsingmentioning

confidence: 95%