[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-662553-105":59,"doc-detail-662553-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","semantic-interpretation-of-architectural-drawings-paper","Semantic Interpretation of Architectural Drawings - Paper","","The paper reviews the requirements and open challenges in automatically interpreting architectural drawings to produce building model representations. It separates recognition from semantic interpretation, then outlines development steps for such a conversion capability while grounding the discussion in relevant literature. The work argues for two underexplored components: a syntactically defined drafting language and a semantic interpretation strategy modeled on natural language interpretation.",{"@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/semantic-interpretation-of-architectural-drawings-paper/662553/",{"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/semantic-interpretation-of-architectural-drawings-paper/662553.png","ImageObject",300,407,{"name":92,"@type":93},"noah","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-28",true,{"@type":102,"interactionType":103,"userInteractionCount":14},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the core goal of semantic interpretation of architectural drawings in this paper?","Question",{"text":112,"@type":113},"Automatically converting archived paper drawings or non-intelligent CAD formats into newer, model-based CADD representations used for building product models and downstream analysis.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the paper distinguish drawing recognition from drawing understanding?",{"text":117,"@type":113},"It defines recognition as narrower identification tasks, while drawing understanding refers to extracting richer semantics needed for effective interpretation of product-model information.",{"name":119,"@type":110,"acceptedAnswer":120},"What two components does the paper highlight as potentially useful but previously under-addressed?",{"text":121,"@type":113},"A syntactically defined drafting language, and a strategy for interpreting the semantic content of architectural drawings based on an analogy to natural language interpretation.","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},662553,1793219916,{"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":14,"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},1099529839121,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","Semantic Interpretation of Architectural Drawings  \nOlubi Babalola  \nGeorgia Institute of Technology, USA  \nCharles Eastman  \nGeorgia Institute of Technology, USA  \nAbstract  \nThe paper reviews the needs and issues of automatically interpreting architectural drawings into building model representations. It distinguishes between recognition and semantic interpretation and reviews the steps involved in developing such a conversion capability, referring to the relevant literature and concepts. It identifies two potentially useful components, neither of which has received attention. One is the development of a syntactically defined drafting language. The other is a strategy for interpreting the semantic content of architectural drawings, based on the analogy of natural language interpretation  \nKeywords  \nSemantic Interpretation, Drawing Understanding  \nPart I: An Overview and Survey  \n1 Introduction  \nSemantic interpretation of architectural drawings has the potential for simplifying the process of conversion of archived drawing information in paper or old CADD formats into the newer and intelligent model-based CADD representations which posses vastly greater capabilities. The following section addresses some of the pertinent questions, such as the difference between architectural and other recognition.  \n1. 1 Justification for Research  \nInterest in extending the functionality of CAD beyond simple drafting and editing through the addition of model-based design support and analysis intelligence is almost as old as CAD research itself. Progress in these extensions hinge on the evolution of CAD systems from drawingoriented representations to model-oriented representations, which identify each element in the design, associating its geometry and other properties and relations. A growing number of architectural CAD products of this sort exist. While each uses its own internal representation, most of these intelligent CAD systems interface with a standard building model, for exchange and interfacing with special applications. A standard building model is a public-domain open standard for representing the useful information about a building, defined as a composition of objects at different levels of aggregation.  \nConsiderable progress has been made in the development of a standard building model. The Industry Alliance for Interoperability group (IAI) is about to release the fifth version of its Industry Foundation Classes (IFC 2.X), an industry-led effort to develop a standard building model. Similarly, The Standard for the Exchange of Product model data under the International Standards Organization (ISO-STEP) has developed exchange technologies that have been used to develop a range of standard exchange models in building, steel structures, precast concrete, and other industry domains [CE99] . Eventually, researchers in the building industry expect that such a standard building model will become the basis for most work in design, contracting, fabrication  \nand building operation. Yet, given the amount of data archived in paper as well as non-intelligent CAD formats, it is clear that some means of automatically migrating drawings from these formats into intelligent model representations would save millions of man hours.  \n1.2 Current view of the drawing recognition problem  \nSemantic recognition of architectural drawings from paper-based input is a potentially vast research area. Small but relevant segments of the process have been separately tackled from the perspective of different drawing recognition domains. The most relevant effort, tackled from a directly architectural viewpoint, is the Knowledge Based Interpretation of Architectural Drawing system, KBIAD [CJ90] and has a focus somewhat similar to that of this paper. The KBIAD research sought to develop a generalized method for drawing interpretation, and demonstrated this using an architectural floor-plan example. A number of ongoing efforts have also been directed towards sema","cbCaidOL0DELMWp6","https://ap.wps.com/l/cbCaidOL0DELMWp6","pdf",232522,14,"English","# Introduction\n## Justification for Research\n## Current view of the drawing recognition problem\n## An overview of issues addressed in the paper","[{\"question\":\"What is the core goal of semantic interpretation of architectural drawings in this paper?\",\"answer\":\"Automatically converting archived paper drawings or non-intelligent CAD formats into newer, model-based CADD representations used for building product models and downstream analysis.\"},{\"question\":\"How does the paper distinguish drawing recognition from drawing understanding?\",\"answer\":\"It defines recognition as narrower identification tasks, while drawing understanding refers to extracting richer semantics needed for effective interpretation of product-model information.\"},{\"question\":\"What two components does the paper highlight as potentially useful but previously under-addressed?\",\"answer\":\"A syntactically defined drafting language, and a strategy for interpreting the semantic content of architectural drawings based on an analogy to natural language interpretation.\"}]","Semantic Interpretation of Architectural Drawings - Paper | PDF",35]