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This work presents an architecture for standardized creation of high-quality content design patterns, driven by a set of minimal quality desiderata. A standardized workflow and supporting resources enable generation of patterns, instance-level data, queries, and documentation, including Python scripts and templates that assist LLMs in producing SPARQL. Results are evaluated on three use cases and ontologies: CCO, PHASES, and D3FEND.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/simplifying-ontology-design-pattern-implementation-paper/665422/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/simplifying-ontology-design-pattern-implementation-paper/665422.png","ImageObject",300,407,{"name":92,"@type":93},"Obex","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-29",true,{"@type":102,"interactionType":103,"userInteractionCount":19},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What are ontology design patterns in this paper’s context?","Question",{"text":112,"@type":113},"Ontology design patterns are reusable solutions that help implement and develop ontologies. They structure data in an ontology-conformant way while preserving core modeling structure.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the proposed approach help create high-quality design patterns?",{"text":117,"@type":113},"It introduces minimal quality desiderata, then a standardized workflow with resources. Python scripts generate instance-level data from graphical pattern representations, and templates guide effective documentation and help LLMs assist in creating SPARQL queries.",{"name":119,"@type":110,"acceptedAnswer":120},"Which ontologies and use cases are used to demonstrate the results?",{"text":121,"@type":113},"The approach is applied to three use cases and three ontologies: the Common Core Ontologies (CCO), the PHASES ontology, and the D3FEND ontology.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},665422,1793302893,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":19,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144},5909898192665,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","Simplifying Ontology Design Pattern Implementation  \nGiacomo De Colle 1,3 , Rachel A. Mavrovich 1,3 , Cristian Keroles1 , Elena Milivinti1,3 , Giorgio A. Ubbiali2, Fabricio Rodrigues1 , Noor M. Al-Khaouli 1 and John Beverley1,3  \n1 University at Buffalo, 135 Park Hall, Buffalo, NY 14260-4150 2 PTH Brixen College, Seminarplatz 4 39042 Brixen  \n3 National Center for Ontological Research, 500 Seneca Street, Buffalo NY 14208  \nAbstract  \nOntology design patterns can be defined as reusable solutions for implementing and developing ontologies. In this paper, we focus on ontology design patterns as tools to help structure data in an ontology-conformant way, and we present an architecture that facilitates the standardized creation of content design patterns of high quality. To achieve this, we first present a collection of desiderata as minimal quality requirements for effective patterns. To facilitate the adoption of these quality standards, we then present a standardized workflow and resources to easily generate design patterns and the related data, queries and documentation. These resources include Python scripts to translate graphical representation of patterns into instance-level data, as well as templates to write effective documentation and to prompt LLMs to aid in the creation of SPARQL queries. We demonstrate the results of this work by applying our approach to three different use cases and three different ontologies — the Common Core Ontologies, the PHASES ontology, and the D3FEND ontology. First results show promising portability of the approach across at least three different projects, and the resulting pipeline aims to be generalizable across domains and different ontological approaches.  \nKeywords  \nOntology Design Patterns, CCO, D3FEND, PHASES, LLMs  \n1. Introduction  \nDesign patterns (DPs) have long served as a cornerstone of knowledge engineering, offering reusable, modular solutions to recurring modeling problems [1] . The term was originally adopted in software engineering, where patterns were understood as named, documented solutions to problems that arise repeatedly in a given design context [2] . Transferred to the domain of ontology development, this idea proved especially productive: rather than building ontologies from scratch each time, engineers could draw on a repertoire of established modeling solutions, adapting them to local needs while preserving their core structure. Ontology Design Patterns (ODPs) emerged from this insight as structured templates that guide the construction of semantically precise, interoperable knowledge representations [3, 4] . By encoding particular modeling choices into reusable artifacts, ODPs reduce redundancy, promote consistency across projects, and lower the barrier of entry for ontology engineers working in unfamiliar domains. Their adoption has been advocated across a range of knowledge engineering contexts, from the development of domain ontologies to the construction of knowledge graphs.  \nDespite their recognized value, ODPs remain substantially under-documented and weakly validated in practice [5] . Lack of explicit use cases, formal competency questions or systematic evaluation criteria make it difficult to assess whether a given ODP is fit for purpose in a new context. Patterns are frequently shared as isolated files, leaving prospective reusers with little guidance on the assumptions embedded in the pattern, the modeling problems it is designed to address, or the conditions under which it can be safely extended or specialized [6] . This problem is especially acute where semantic precision and cross-system interoperability are at stake. Recurring modeling errors or suboptimal  \nProceedings of FOIS 2026 Satellite events co-located with the 16th International Conference on Formal Ontology in Information Systems (FOIS 2026), September 21-25, 2026, Vitória, Brazil.  \n$ [gdecolle@buffalo.edu](gdecolle@buffalo.edu) (G. D. Colle); [rmavrovi@buffalo.edu](rmavrovi@buffalo.edu)","cbCaibevD7ZH2sZG","https://ap.wps.com/l/cbCaibevD7ZH2sZG","pdf",915030,15,"English","# Introduction\n## Motivation for ontology design patterns\n## Under-documentation and validation gaps\n## Two scenarios for pattern emergence\n## Documentation and validation implications","[{\"question\":\"What are ontology design patterns in this paper’s context?\",\"answer\":\"Ontology design patterns are reusable solutions that help implement and develop ontologies. They structure data in an ontology-conformant way while preserving core modeling structure.\"},{\"question\":\"How does the proposed approach help create high-quality design patterns?\",\"answer\":\"It introduces minimal quality desiderata, then a standardized workflow with resources. Python scripts generate instance-level data from graphical pattern representations, and templates guide effective documentation and help LLMs assist in creating SPARQL queries.\"},{\"question\":\"Which ontologies and use cases are used to demonstrate the results?\",\"answer\":\"The approach is applied to three use cases and three ontologies: the Common Core Ontologies (CCO), the PHASES ontology, and the D3FEND ontology.\"}]","Simplifying Ontology Design Pattern Implementation - Paper | PDF",38]