Deductive Parsing of Visual Languages
Identifieur interne : 003384 ( Istex/Corpus ); précédent : 003383; suivant : 003385Deductive Parsing of Visual Languages
Auteurs : Paolo Bottoni ; Bernd Meyer ; Kim Marriott ; Francesco Parisi PresicceSource :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: Computational linguistics has largely focussed on written and spoken textual languages. However, humans use many other kinds of symbolic notations for communication, in particular, two-dimensional graphical notations such as mathematical notation, choreography notation, organizational charts and electrical circuit diagrams. We can term such multi-dimensional symbolic notations, visual languages. Like textual languages, many of these notations have a well defined syntax and semantics. The standard approach to computer interpretation of visual languages is to utilize parsing technologies based on multi-dimensional grammars. In this paper we investigate a new approach to parsing visual languages based on linear logic. The advantages of this logic-based approach are threefold: It provides a more adequate level for modelling the semantics of visual languages; it allows us to implement them based on automated deduction and it provides a good basis for the investigation of their formal properties. We show how attributed multiset grammars, one of the most widely used methods for multi-dimensional parsing, can be embedded into linear logic, demonstrate how parsing corresponds to linear proofs and prove the soundness and correctness of this embedding. Importantly, our embedding is into a subset of a linear logic programming language. Thus, we also demonstrate how multi-dimensional parsing can be implemented as a directly executable linear logic program.
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DOI: 10.1007/3-540-48199-0_5
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ISTEX:D9A694D93A9B757A848310CB175019DCE5012AE9Le document en format XML
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However, humans use many other kinds of symbolic notations for communication, in particular, two-dimensional graphical notations such as mathematical notation, choreography notation, organizational charts and electrical circuit diagrams. We can term such multi-dimensional symbolic notations, visual languages. Like textual languages, many of these notations have a well defined syntax and semantics. The standard approach to computer interpretation of visual languages is to utilize parsing technologies based on multi-dimensional grammars. In this paper we investigate a new approach to parsing visual languages based on linear logic. The advantages of this logic-based approach are threefold: It provides a more adequate level for modelling the semantics of visual languages; it allows us to implement them based on automated deduction and it provides a good basis for the investigation of their formal properties. We show how attributed multiset grammars, one of the most widely used methods for multi-dimensional parsing, can be embedded into linear logic, demonstrate how parsing corresponds to linear proofs and prove the soundness and correctness of this embedding. Importantly, our embedding is into a subset of a linear logic programming language. Thus, we also demonstrate how multi-dimensional parsing can be implemented as a directly executable linear logic program.</div></front></TEI><istex><corpusName>springer-ebooks</corpusName><author><json:item><name>Paolo Bottoni</name><affiliations><json:string>Dipartimento di Scienze dell’Informazione, Università La Sapienza di Roma, Italy</json:string><json:string>E-mail: bottoni@dsi.uniroma1.it</json:string></affiliations></json:item><json:item><name>Bernd Meyer</name><affiliations><json:string>School of Computer Science & Software Engineering, Monash University, Australia</json:string><json:string>E-mail: berndm@csse.monash.edu.au</json:string></affiliations></json:item><json:item><name>Kim Marriott</name><affiliations><json:string>School of Computer Science & Software Engineering, Monash University, Australia</json:string><json:string>E-mail: marriott@csse.monash.edu.au</json:string></affiliations></json:item><json:item><name>Francesco Parisi Presicce</name><affiliations><json:string>Dipartimento di Scienze dell’Informazione, Università La Sapienza di Roma, Italy</json:string><json:string>E-mail: parisi@dsi.uniroma1.it</json:string></affiliations></json:item></author><arkIstex>ark:/67375/HCB-S26C70K6-5</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: Computational linguistics has largely focussed on written and spoken textual languages. However, humans use many other kinds of symbolic notations for communication, in particular, two-dimensional graphical notations such as mathematical notation, choreography notation, organizational charts and electrical circuit diagrams. We can term such multi-dimensional symbolic notations, visual languages. Like textual languages, many of these notations have a well defined syntax and semantics. The standard approach to computer interpretation of visual languages is to utilize parsing technologies based on multi-dimensional grammars. In this paper we investigate a new approach to parsing visual languages based on linear logic. The advantages of this logic-based approach are threefold: It provides a more adequate level for modelling the semantics of visual languages; it allows us to implement them based on automated deduction and it provides a good basis for the investigation of their formal properties. We show how attributed multiset grammars, one of the most widely used methods for multi-dimensional parsing, can be embedded into linear logic, demonstrate how parsing corresponds to linear proofs and prove the soundness and correctness of this embedding. Importantly, our embedding is into a subset of a linear logic programming language. 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We show how attributed multiset grammars, one of the most widely used methods for multi-dimensional parsing, can be embedded into linear logic, demonstrate how parsing corresponds to linear proofs and prove the soundness and correctness of this embedding. Importantly, our embedding is into a subset of a linear logic programming language. Thus, we also demonstrate how multi-dimensional parsing can be implemented as a directly executable linear logic program.</p></abstract><textClass ana="subject"><keywords scheme="book-subject-collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass ana="subject"><keywords scheme="book-subject"><list><label>I</label><item><term type="Primary">Computer Science</term></item><label>I21017</label><item><term type="Secondary" subtype="priority-1">Artificial Intelligence (incl. 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However, humans use many other kinds of symbolic notations for communication, in particular, two-dimensional graphical notations such as mathematical notation, choreography notation, organizational charts and electrical circuit diagrams. We can term such multi-dimensional symbolic notations, <Emphasis Type="Italic">visual languages</Emphasis>. Like textual languages, many of these notations have a well defined syntax and semantics. The standard approach to computer interpretation of visual languages is to utilize parsing technologies based on multi-dimensional grammars. In this paper we investigate a new approach to parsing visual languages based on linear logic. The advantages of this logic-based approach are threefold: It provides a more adequate level for modelling the semantics of visual languages; it allows us to implement them based on automated deduction and it provides a good basis for the investigation of their formal properties. We show how attributed multiset grammars, one of the most widely used methods for multi-dimensional parsing, can be embedded into linear logic, demonstrate how parsing corresponds to linear proofs and prove the soundness and correctness of this embedding. Importantly, our embedding is into a subset of a linear logic programming language. Thus, we also demonstrate how multi-dimensional parsing can be implemented as a directly executable linear logic program.</Para></Abstract><ArticleNote Type="Misc"><Heading>Abstract</Heading><SimplePara>Work partially supported by the European Community TMR network GETGRATS and by the Australian Research Council.</SimplePara></ArticleNote><ArticleNote Type="Misc"><Heading>Abstract</Heading><SimplePara>Part of the research reported was done while the author was affiliated with Università La Sapienza di Roma.</SimplePara></ArticleNote></ChapterHeader><NoBody></NoBody></Chapter></Part></Book><SubSeries><SubSeriesInfo><SubSeriesID>1244</SubSeriesID><SubSeriesTitle Language="En">Lecture Notes in Artificial Intelligence</SubSeriesTitle><SubSeriesSubTitle Language="En">Subseries of Lecture Notes in Computer Science</SubSeriesSubTitle></SubSeriesInfo><SubSeriesHeader><EditorGroup><Editor AffiliationIDS="Aff4"><EditorName DisplayOrder="Western"><GivenName>Jaime</GivenName><GivenName>G.</GivenName><FamilyName>Carbonell</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff5"><EditorName DisplayOrder="Western"><GivenName>Jörg</GivenName><FamilyName>Siekmann</FamilyName></EditorName></Editor><Affiliation ID="Aff4"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>University of Saarland</OrgName><OrgAddress><City>Saabrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SubSeriesHeader></SubSeries></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Deductive Parsing of Visual Languages</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Deductive Parsing of Visual Languages</title></titleInfo><name type="personal"><namePart type="given">Paolo</namePart><namePart type="family">Bottoni</namePart><affiliation>Dipartimento di Scienze dell’Informazione, Università La Sapienza di Roma, Italy</affiliation><affiliation>E-mail: bottoni@dsi.uniroma1.it</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Bernd</namePart><namePart type="family">Meyer</namePart><affiliation>School of Computer Science & Software Engineering, Monash University, Australia</affiliation><affiliation>E-mail: berndm@csse.monash.edu.au</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Kim</namePart><namePart type="family">Marriott</namePart><affiliation>School of Computer Science & Software Engineering, Monash University, Australia</affiliation><affiliation>E-mail: marriott@csse.monash.edu.au</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Francesco</namePart><namePart type="given">Parisi</namePart><namePart type="family">Presicce</namePart><affiliation>Dipartimento di Scienze dell’Informazione, Università La Sapienza di Roma, Italy</affiliation><affiliation>E-mail: parisi@dsi.uniroma1.it</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre displayLabel="OriginalPaper" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" type="conference" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-BFHXPBJJ-3">conference</genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2001</dateIssued><copyrightDate encoding="w3cdtf">2001</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: Computational linguistics has largely focussed on written and spoken textual languages. However, humans use many other kinds of symbolic notations for communication, in particular, two-dimensional graphical notations such as mathematical notation, choreography notation, organizational charts and electrical circuit diagrams. We can term such multi-dimensional symbolic notations, visual languages. Like textual languages, many of these notations have a well defined syntax and semantics. The standard approach to computer interpretation of visual languages is to utilize parsing technologies based on multi-dimensional grammars. In this paper we investigate a new approach to parsing visual languages based on linear logic. The advantages of this logic-based approach are threefold: It provides a more adequate level for modelling the semantics of visual languages; it allows us to implement them based on automated deduction and it provides a good basis for the investigation of their formal properties. We show how attributed multiset grammars, one of the most widely used methods for multi-dimensional parsing, can be embedded into linear logic, demonstrate how parsing corresponds to linear proofs and prove the soundness and correctness of this embedding. Importantly, our embedding is into a subset of a linear logic programming language. Thus, we also demonstrate how multi-dimensional parsing can be implemented as a directly executable linear logic program.</abstract><relatedItem type="host"><titleInfo><title>Logical Aspects of Computational Linguistics</title><subTitle>4th International Conference, LACL 2001 Le Croisic, France, June 27–29, 2001 Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Philippe</namePart><namePart type="family">de Groote</namePart><affiliation>INRIA Lorraine, 615 rue du Jardin Botanique, B.P. 101, 54602, Villers-lès-Nancy Cedex, France</affiliation><affiliation>E-mail: Philippe.deGroote@loria.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Glyn</namePart><namePart type="family">Morrill</namePart><affiliation>Universitat Politècnica de Catalunya, Jordi Girona Salgado, 1-3, 08028, Barcelona, Spain</affiliation><affiliation>E-mail: morrill@lsi.upc.es</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Christian</namePart><namePart type="family">Retoré</namePart><affiliation>Faculté des Sciences, Institut de recherche en Informatique de Nantes (IRIN), 2, rue de la Houssinière, B.P. 92208, 44322, Nantes Cedex 03, France</affiliation><affiliation>E-mail: retore@irisa.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0G6R5W5T-Z">book-series</genre><originInfo><publisher>Springer</publisher><copyrightDate encoding="w3cdtf">2001</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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