A connection method for a defeasible extension of ALCH

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher

Abstract

Abstract The development of proof methods for defeasible description logics (DLs), following those for classical DLs, is mainly based on semantic tableaux.However, the literature offers equally viable alternatives for automated theorem proving, such as the connection method.It consists of a goal-oriented direct proof search method that searches for connections (complementary pairs of literals) in a set of literals organized in clauses called a matrix.This paper presents a connection method for an exception-tolerant family of DLs.In that regard, (i) we use the language of ALCH extended with a typicality operator on concepts and another one on roles; (ii) we revisit the definition of a matrix representation of a knowledge base and establish the conditions for a given axiom to be provable from this matrix with a new normal form (Bi-Typicality Normal Form); (iii) we show how to handle term unification and define a suitable blocking condition in the presence of typicality operators; and (iv) we establish correctness, completeness, and termination of our algorithm.
Full text 9,848 characters · extracted from preprint-html · click to expand
A connection method for a defeasible extension of ALCH | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A connection method for a defeasible extension of ALCH Renan Fernandes, Fred Freitas, Ivan Varzinczak, Pedro P. M. Farias This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4818202/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The development of proof methods for defeasible description logics (DLs), following those for classical DLs, is mainly based on semantic tableaux.However, the literature offers equally viable alternatives for automated theorem proving, such as the connection method.It consists of a goal-oriented direct proof search method that searches for connections (complementary pairs of literals) in a set of literals organized in clauses called a matrix.This paper presents a connection method for an exception-tolerant family of DLs.In that regard, (i) we use the language of ALCH extended with a typicality operator on concepts and another one on roles; (ii) we revisit the definition of a matrix representation of a knowledge base and establish the conditions for a given axiom to be provable from this matrix with a new normal form (Bi-Typicality Normal Form); (iii) we show how to handle term unification and define a suitable blocking condition in the presence of typicality operators; and (iv) we establish correctness, completeness, and termination of our algorithm. Connection method Description logic Defeasible logics Web Semantics Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4818202","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":343322951,"identity":"693b98db-7388-4f42-9dfa-54f9ae95cce3","order_by":0,"name":"Renan Fernandes","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAu0lEQVRIiWNgGAWjYDACdsbnHz4wSABZjA+AxAEitDAzmzHOAGthNiBeCzMPhEWkFvNmZrbHNjUWeQwSyWwPPjDcySeoReYwM7txzjGJYqAWdsMZDM8sGwhpkWDmPyCd2yCR2CCRf0yah+GwAUFbJJiZGaQtwVqS2aT/EKmFTZoRpoWBSC3Mhj3HJBLbeB6zG/YYPCNCC3sz44MfNXWJ/ezAEPtRcYewFjhgAyMSNMB0jYJRMApGwSjAAgDEWi8p9VJV/AAAAABJRU5ErkJggg==","orcid":"","institution":"Federal University of Pernambuco","correspondingAuthor":true,"prefix":"","firstName":"Renan","middleName":"","lastName":"Fernandes","suffix":""},{"id":343322952,"identity":"5f88134c-1ddc-4a54-84d3-d31373444af7","order_by":1,"name":"Fred Freitas","email":"","orcid":"","institution":"Federal University of Pernambuco","correspondingAuthor":false,"prefix":"","firstName":"Fred","middleName":"","lastName":"Freitas","suffix":""},{"id":343322953,"identity":"00ba8155-77e3-47e1-9b45-fa1912f1ab15","order_by":2,"name":"Ivan Varzinczak","email":"","orcid":"","institution":"Paris 8 University","correspondingAuthor":false,"prefix":"","firstName":"Ivan","middleName":"","lastName":"Varzinczak","suffix":""},{"id":343322955,"identity":"991c133b-222f-4e0f-961c-c292419da510","order_by":3,"name":"Pedro P. M. Farias","email":"","orcid":"","institution":"Public Services Regulation Agency-CE","correspondingAuthor":false,"prefix":"","firstName":"Pedro","middleName":"P. M.","lastName":"Farias","suffix":""}],"badges":[],"createdAt":"2024-07-28 22:41:47","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4818202/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4818202/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104026595,"identity":"b99ed524-43f3-4ab9-9a82-bb0d754cbdd3","added_by":"auto","created_at":"2026-03-05 20:54:16","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":487853,"visible":true,"origin":"","legend":"","description":"","filename":"ALCHbJournalofAutomatedReasoning1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4818202/v1_covered_cb9125b4-fc78-4d93-9fed-4aa38b8359f2.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A connection method for a defeasible extension of ALCH","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Connection method, Description logic, Defeasible logics, Web Semantics","lastPublishedDoi":"10.21203/rs.3.rs-4818202/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4818202/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The development of proof methods for defeasible description logics (DLs), following those for classical DLs, is mainly based on semantic tableaux.However, the literature offers equally viable alternatives for automated theorem proving, such as the connection method.It consists of a goal-oriented direct proof search method that searches for connections (complementary pairs of literals) in a set of literals organized in clauses called a matrix.This paper presents a connection method for an exception-tolerant family of DLs.In that regard, (i) we use the language of ALCH extended with a typicality operator on concepts and another one on roles; (ii) we revisit the definition of a matrix representation of a knowledge base and establish the conditions for a given axiom to be provable from this matrix with a new normal form (Bi-Typicality Normal Form); (iii) we show how to handle term unification and define a suitable blocking condition in the presence of typicality operators; and (iv) we establish correctness, completeness, and termination of our algorithm.","manuscriptTitle":"A connection method for a defeasible extension of ALCH","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-08-27 08:43:25","doi":"10.21203/rs.3.rs-4818202/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"36d6a44f-98fd-448f-a11a-8282e926e4e0","owner":[],"postedDate":"August 27th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-03-05T20:54:03+00:00","versionOfRecord":[],"versionCreatedAt":"2024-08-27 08:43:25","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4818202","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4818202","identity":"rs-4818202","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-22T02:00:06.705733+00:00
License: CC-BY-4.0