[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-detail-493657-en":59,"doc-seo-493657-105":80},{"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":5,"data":60},{"doc_id":61,"user_id":62,"nickname":63,"user_avatar":64,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":66,"doc_content":67,"file_id":68,"file_url":69,"file_type":70,"file_size":71,"view_count":14,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":24,"language":72,"language_code":73,"site_id":74,"html_lang":73,"table_of_contents":75,"faqs":76,"seo_title":77,"seo_description":66,"update_tm":78,"read_time":79},493657,962084928432,"Maya Linwood","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Earthquake Ontology and LOD","The paper presents an earthquake ontology and Linked Open Data (LOD) framework for seismology, modeling seismic waveforms and related metadata such as seismic intensity, occurrence time, and hypocenter characteristics. It also defines observation-station classes and properties so that URIs can be assigned to earthquakes that are not directly observable as physical sources. Using this ontology, the authors publish seismic datasets as LOD, including world-scale data such as STEAD and additional Japan-based sources referenced from JMA and NIED prevention.","Earthquake Ontology and LOD  \nHiroki Uematsu1,2, * , Hideaki Takeda1,2  \n1 National Institute of Informatics, Japan  \n2 The Graduate University for Advanced Studies, SOKENDAI, Japan  \nAbstract  \nIn this paper, we constructed an earthquake ontology and Linked Open Data for seismology. Earthquake ontology defines data on seismic waveforms such as seismic intensity and occurred time, data on observation stations where seismic waveforms were observed, and classes and properties such as the size and depth of the hypocenter of the observed waveforms. By using the earthquake ontology, it is possible to assign URIs to \"earthquakes\" that cannot be observed unlike seismic sources and observed waveforms, making it possible to use the necessary earthquake data based on observation information. We developed the seismic dataset not only the world’s seismic data for machine learning represented by STEAD but also data publicly available in Japan on a limited basis, such as JMA and NIED prevention, as Linked Open Data using earthquake ontology.  \nKeywords  \nOntology, Linked Open Data, Earthquake, Seismology  \n1. Introduction  \nJapan is one of the most earthquake-prone countries in the world. Around the Japanese archipelago, four plates collide with each other, and more than 100,000 earthquakes occur per year, averaging more than 300 earthquakes per day, including those that are not felt.  \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 seismic waveform, and identifying the P-wave/Swave of an earthquake. Since machine learning requires a large amount of high-quality training data, seismic observation networks are useful. However, one of the networks K-NET[1] which was established by the National Research Institute for Earth Science and Disaster Resilience (NIED) waveform data acquisition site does not have an API, users need to specify the date and time, hypocenter, observation station, etc., and download the waveform data. In order to search for waveform data independently observed by researchers and observation networks of the Japan Meteorological Agency (JMA) and local governments, it is possible to create a database that aggregates waveform data. Although, since the waveform data cannot be republished and  \nISWC 2023 Posters and Demos: 22nd International Semantic Web Conference, November 6 –10, 2023, Athens, Greece * Corresponding author.  \n$ [hiroki_u@nii.ac.jp](hiroki_u@nii.ac.jp) (H. Uematsu); [takeda@nii.ac.jp](takeda@nii.ac.jp) (H. Takeda)  \n􀀚 0000-0003-4215-3112 (H. Uematsu); 0000-0002-2909-7163 (H. Takeda)  \n © 2023 Copyright c 2023 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) . CWPEURorkroceshopedings http://ceurISSN 1613-ws-0073.org CEUR Workshop Proceedings ([CEUR-WS.org](CEUR-WS.org))  \nCEUR ~~  ~~[Workshop](Workshop ceur-ws.org)[ ceur-ws.org](Workshop ceur-ws.org)[ ](Workshop ceur-ws.org)[Proceedings](Proceedings ISSN 1613-0073)[ ISSN 1613-0073](Proceedings ISSN 1613-0073)   \nthere is no URI that uniquely points to the waveform data, researchers will have their own databases, making it difficult to create a reusable open waveform database.  \n2. Earthquake Observation  \nIn general, the word \"earthquake\" refers to events such as tremors felt by people on their own, but in reality, it refers to the rapid displacement of the bedrock due to the pushing and pulling of the underground bedrock. Shaking occurs as a result of bedrock displacement and is recognized by us at the ground surface. Because earthquakes occur underground, it is difficult to actually observe them. Therefore, information o","cbCaii3KgKKftI3M","https://ap.wps.com/l/cbCaii3KgKKftI3M","pdf",1358555,"English","en",105,"# Introduction\n# Earthquake Observation\n# Method","[{\"question\":\"What does the earthquake ontology model in this work?\",\"answer\":\"It defines data for seismic waveforms (e.g., seismic intensity and occurred time), observation stations where waveforms were recorded, and classes/properties such as hypocenter size and depth.\"},{\"question\":\"How does the ontology help assign identifiers for earthquakes?\",\"answer\":\"It enables assigning URIs to earthquakes that cannot be observed as physical sources, using observation-related information to support downstream data reuse.\"},{\"question\":\"What datasets are developed and published as Linked Open Data?\",\"answer\":\"The authors develop an LOD seismic dataset that includes machine-learning-oriented world data represented by STEAD and additional Japan-available data from sources such as JMA and NIED (as described in the abstract).\"}]","Earthquake Ontology and LOD | PDF",1790884796,13,{"code":4,"msg":81,"data":82},"ok",{"site_id":74,"language":73,"slug":83,"title":65,"keywords":84,"description":66,"schema_data":85,"social_meta":139,"head_meta":141,"extra_data":143,"updated_unix":144},"earthquake-ontology-and-lod","",{"@graph":86,"@context":138},[87,101,121],{"@type":88,"itemListElement":89},"BreadcrumbList",[90,94,96,99],{"item":91,"name":92,"@type":93,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":95,"name":9,"@type":93,"position":14},"https://docshare.wps.com/document/",{"item":97,"name":40,"@type":93,"position":98},"https://docshare.wps.com/document/research-report/",3,{"item":100,"name":65,"@type":93,"position":19},"https://docshare.wps.com/document/earthquake-ontology-and-lod/493657/",{"url":100,"name":65,"@type":102,"image":103,"author":108,"headline":65,"publisher":110,"fileFormat":113,"inLanguage":73,"description":66,"dateModified":114,"datePublished":115,"encodingFormat":113,"isAccessibleForFree":116,"interactionStatistic":117},"DigitalDocument",{"url":104,"@type":105,"width":106,"height":107},"https://docshare.wps.com/thumbnails/earthquake-ontology-and-lod/493657.png","ImageObject",300,407,{"name":63,"@type":109},"Person",{"url":91,"name":111,"@type":112},"DocShare","Organization","application/pdf","2026-10-14","2026-10-01",true,{"@type":118,"interactionType":119,"userInteractionCount":14},"InteractionCounter",{"@type":120},"ViewAction",{"@type":122,"mainEntity":123},"FAQPage",[124,130,134],{"name":125,"@type":126,"acceptedAnswer":127},"What does the earthquake ontology model in this work?","Question",{"text":128,"@type":129},"It defines data for seismic waveforms (e.g., seismic intensity and occurred time), observation stations where waveforms were recorded, and classes/properties such as hypocenter size and depth.","Answer",{"name":131,"@type":126,"acceptedAnswer":132},"How does the ontology help assign identifiers for earthquakes?",{"text":133,"@type":129},"It enables assigning URIs to earthquakes that cannot be observed as physical sources, using observation-related information to support downstream data reuse.",{"name":135,"@type":126,"acceptedAnswer":136},"What datasets are developed and published as Linked Open Data?",{"text":137,"@type":129},"The authors develop an LOD seismic dataset that includes machine-learning-oriented world data represented by STEAD and additional Japan-available data from sources such as JMA and NIED (as described in the abstract).","https://schema.org",{"og:url":100,"og:type":140,"og:title":65,"og:site_name":111,"og:description":66},"article",{"robots":142,"canonical":100},"index,follow",{"doc_id":61,"site_id":74},1792001217]