[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-493659-105":59,"doc-detail-493659-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","earthquake-lod-seismic-dataset-construction-with-ontology-oriented-design-patterns","Earthquake LOD: Seismic Dataset Construction with Ontology Oriented Design Patterns","","This paper presents the construction of an Earthquake Linked Open Data (LOD) framework for seismological datasets using Ontology Oriented Design Patterns. It targets difficulties in discovering and retrieving Japanese seismic waveform-related metadata for machine learning, where API access is limited and waveform republishing and persistent identifiers are problematic. The approach builds interoperable knowledge graphs and uses a domain-specific knowledge usage checklist to separate tasks for humans and machines, supporting efficient knowledge graph creation for both Japan and overseas.",{"@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/earthquake-lod-seismic-dataset-construction-with-ontology-oriented-design-patterns/493659/",{"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/earthquake-lod-seismic-dataset-construction-with-ontology-oriented-design-patterns/493659.png","ImageObject",300,407,{"name":92,"@type":93},"Taylor Morgan","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-08","2026-10-01",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 problem does the Earthquake LOD address for seismological datasets?","Question",{"text":112,"@type":113},"It addresses the difficulty of discovering and retrieving seismic data metadata for machine learning, especially for Japanese waveform observations where direct access and metadata retrieval are limited.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How are Ontology Oriented Design Patterns used in the proposed method?",{"text":117,"@type":113},"They are used to construct interoperable knowledge graphs by organizing tasks for humans and machines through a domain-specific knowledge usage checklist.",{"name":119,"@type":110,"acceptedAnswer":120},"What is published as Linked Data in this research?",{"text":121,"@type":113},"Metadata for earthquakes, including observation station information, seismic intensity, observation time, hypocenter position, and magnitudes estimated from observed waveforms, are published as Linked Data.","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},493659,1791377925,{"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":44,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144},1099523885336,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Earthquake LOD: Seismic Dataset Construction with Ontology Oriented Design Patterns  \nHiroki Uematsu∗ [hiroki_u@nii.ac.jp](hiroki_u@nii.ac.jp)  \nThe Graduate University for Advanced Studies, SOKENDAI Hayama, Kanagawa, Japan National Institute of Informatics Chiyoda-ku, Tokyo, Japan  \nHideaki Takeda  \n[takeda@nii.ac.jp](takeda@nii.ac.jp)[ ](takeda@nii.ac.jp)National Institute of Informatics Chiyoda-ku, Tokyo, Japan The Graduate University for Advanced Studies, SOKENDAI Hayama, Kanagawa, Japan  \nABSTRACT  \nThis paper describes the construction of an Earthquake Linked Open Data (LOD) for seismological datasets using Ontology Oriented Design Patterns. In recent years, various studies have focused on utilizing machine learning technology to detect, classify, or predict seismic intensities based on vast amounts of observed seismic waveform data. Researchers need to collect hypocenter information, time of occurrence, and target observation stations related to seismic waveforms to compile data for machine learning purposes. Although seismic waveform datasets for machine learning are widely available worldwide, accessing waveform data observed by Japanese seismic networks is limited, and metadata retrieval is difficult. To address this, we developed the Earthquake LOD with Ontology Oriented Design Patterns to enhance the discovery and retrieval of seismic data. Ontology Oriented Design Patterns are used to construct interoperable knowledge graphs. This method categorizes tasks for humans and machines using a domain-specific knowledge usage checklist, enabling the efficient creation of valuable knowledge graphs. In this paper, we provide a detailed account of constructing the Earthquake LOD for seismic datasets from both Japan and overseas, utilizing Ontology Oriented Design Patterns.  \nKEYWORDS  \nOntology, Linked Open Data, Ontology Oriented Design Patterns, Earthquake  \nACM Reference Format:  \nHiroki Uematsu and Hideaki Takeda. 2023. Earthquake LOD: Seismic Dataset Construction with Ontology Oriented Design Patterns. In Proceedings of The 12th International Joint Conference on Knowledge Graphs (IJCKG 2023)(Conference IJCKG’23). ACM, New York, NY, USA, 9 pages. [https://doi.org/](https://doi.org/)[ ](https://doi.org/)XXXXXXX.XXXXXXX  \n1 INTRODUCTION  \nJapan is one of the most earthquake-prone countries in the world. Around the Japanese archipelago, four plates collide with each  \nPermission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions [from permissions@acm.org](from permissions@acm.org).  \nConference IJCKG’23, Dec 08–09, 2023, Miraikan, Tokyo, Japan © 2023 Association for Computing Machinery.  \nACM ISBN 978-x-xxxx-xxxx-x/YY/MM. . . $15.00 [https://doi.org/XXXXXXX.XXXXXXX](https://doi.org/XXXXXXX.XXXXXXX)  \nother, and more than 100,000 earthquakes occur per year, averaging more than 300 earthquakes per day, including those that are not felt. Although Japan accounts for about 0.25% of the world’s land area, earthquakes exceeding magnitude 6 have occurred nearly 200 times in 10 years, accounting for 20% of all earthquakes in the world.  \nSeismic motion is observed as waveform data of acceleration and is used in various research such as calculation of seismic intensity, determination of hypocenter, emergency earthquake warning, and predicted seismic intensity. In recent years, it has been used as training data for research using machine learning, such as predicting the seismic intensity at a specific observation station, whether the observed waveform is a","cbCaidfMZp35zDIG","https://ap.wps.com/l/cbCaidfMZp35zDIG","pdf",2226689,"English","# Abstract\n# Keywords\n# 1 INTRODUCTION","[{\"question\":\"What problem does the Earthquake LOD address for seismological datasets?\",\"answer\":\"It addresses the difficulty of discovering and retrieving seismic data metadata for machine learning, especially for Japanese waveform observations where direct access and metadata retrieval are limited.\"},{\"question\":\"How are Ontology Oriented Design Patterns used in the proposed method?\",\"answer\":\"They are used to construct interoperable knowledge graphs by organizing tasks for humans and machines through a domain-specific knowledge usage checklist.\"},{\"question\":\"What is published as Linked Data in this research?\",\"answer\":\"Metadata for earthquakes, including observation station information, seismic intensity, observation time, hypocenter position, and magnitudes estimated from observed waveforms, are published as Linked Data.\"}]","Earthquake LOD: Seismic Dataset Construction with Ontology Oriented Design Patterns | PDF",1790884804,23]