{"id":6531,"date":"2025-09-20T06:25:54","date_gmt":"2025-09-20T06:25:54","guid":{"rendered":"http:\/\/www.withdata.com\/blog\/?p=6531"},"modified":"2026-10-02T20:12:13","modified_gmt":"2026-10-02T20:12:13","slug":"rdf-to-excel","status":"publish","type":"post","link":"https:\/\/www.withdata.com\/blog\/datafileconverter\/rdf-to-excel.html","title":{"rendered":"Convert RDF to Excel"},"content":{"rendered":"<p>Have an RDF file (<code>.rdf<\/code>, <code>.owl<\/code>, <code>.ttl<\/code>, <code>.n3<\/code>, <code>.nt<\/code>, <code>.nq<\/code>) and need it in  <a href=\"https:\/\/products.office.com\/excel\">Excel<\/a> ? Withdata <a href=\"https:\/\/www.withdata.com\/data-file-converter\/\">Data File Converter<\/a> reads every common RDF serialization &mdash; RDF\/XML (<code>.rdf<\/code>, <code>.owl<\/code>), <a href=\"https:\/\/www.w3.org\/TR\/turtle\/\">Turtle<\/a> (<code>.ttl<\/code>, <code>.n3<\/code>), N-Triples (<code>.nt<\/code>) and N-Quads (<code>.nq<\/code>) &mdash; and saves it as Excel.<\/p>\n<ul>\n<li>Can run in GUI mode, <a href=\"#convert\">Step by Step<\/a>, just a few mouse clicks.<\/li>\n<li>Can run in <a href=\"\/tools\/file-to-file\/rdf-to-excel-cmd\">Command line<\/a>, for <a href=\"\/tools\/file-to-file\/rdf-to-excel-task\">Scheduled Tasks<\/a> and Streams.<\/li>\n<li>Convert files locally and <b>privately<\/b>, avoid uploading large RDF file(s) to online services.<\/li>\n<li>Support <a href=\"\/tools\/file-to-file\/rdf-to-excel-windows\">Windows<\/a>, <a href=\"\/tools\/file-to-file\/rdf-to-excel-macos\">MacOS<\/a>, and <a href=\"\/tools\/file-to-file\/rdf-to-excel-linux\">Linux<\/a>.<\/li>\n<\/ul>\n<p><a href=\"#download-top\" onclick=\"dtv.style.display = 'block';\">Download Withdata DataFileConverter<\/a>  <a href=\"#download-top\" onclick=\"dtv.style.display = 'block';\"><img decoding=\"async\" src=\"https:\/\/www.withdata.com\/images\/download_3.jpg\" alt=\"Download DataFileConverter\" width=\"80\" height=\"22\" style=\"max-width:100%;height:auto;\" \/><\/a> <span id=\"dtv\" style=\"display: none;\"><br \/>\n<a href=\"\/download.php?app=DataFileConverter&#038;ver=win64\">Windows 64 bit<\/a><br \/>\n<a href=\"\/download.php?app=DataFileConverter&#038;ver=win32\">Windows 32 bit<\/a><br \/>\n<a href=\"\/download.php?app=DataFileConverter&#038;ver=deb\">Linux .deb (For Debian, Ubuntu) 64 bit<\/a><br \/>\n<a href=\"\/download.php?app=DataFileConverter&#038;ver=rpm\">Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit<\/a><br \/>\n<a href=\"\/download.php?app=DataFileConverter&#038;ver=pkg\">MacOS 64 bit<\/a><br \/>\n<\/span><\/p>\n<h2 id=\"rdf-table\">How RDF maps to Excel<\/h2>\n<p>RDF is not a table. It is a graph written as <strong>triples<\/strong> &mdash; <em>subject &ndash; predicate &ndash; object<\/em> &mdash; so exporting it to Excel means deciding how the graph maps onto rows and columns. Data File Converter does that for you:<\/p>\n<table>\n<thead>\n<tr>\n<th>In the RDF file<\/th>\n<th>In the Excel file<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Subject (an IRI or a blank node)<\/td>\n<td>one <strong>row<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Predicate (an IRI such as <code>foaf:name<\/code>)<\/td>\n<td>one <strong>column<\/strong>, named after the last part of the IRI<\/td>\n<\/tr>\n<tr>\n<td>Object (IRI, literal, or blank node)<\/td>\n<td>the <strong>cell value<\/strong> for that row and column<\/td>\n<\/tr>\n<tr>\n<td><code>rdf:type<\/code><\/td>\n<td>a <strong>Type<\/strong> column<\/td>\n<\/tr>\n<tr>\n<td>Several values for the same predicate<\/td>\n<td>merged into one cell, or split into several rows<\/td>\n<\/tr>\n<tr>\n<td>Plain literal (<code>\"text\"<\/code>)<\/td>\n<td>text cell<\/td>\n<\/tr>\n<tr>\n<td>Typed literal (<code>\"1234\"^^xsd:int<\/code>, <code>\"2026-09-18\"^^xsd:date<\/code>)<\/td>\n<td>number \/ date cell when Excel supports it, otherwise text<\/td>\n<\/tr>\n<tr>\n<td>Language-tagged literal (<code>\"Hello\"@en<\/code>)<\/td>\n<td>text cell (the language tag is dropped)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Long IRIs are shortened to readable column names, and blank nodes keep their identifiers. When the source is Turtle, N-Triples or N-Quads, prefixes and <code>@base<\/code> are resolved first, so a <code>foaf:<\/code> prefix and the full <code>http:\/\/xmlns.com\/foaf\/0.1\/<\/code> property land in the same column.<\/p>\n<p>Need to convert <strong>between RDF formats<\/strong> (Turtle, RDF\/XML, N-Triples, N-Quads, JSON-LD) instead of to a table? See <a href=\"\/apps\/rdf-converter.html\">RDFConverter<\/a> (coming soon).<\/p>\n<h2 id=\"convert\">Convert RDF file (.rdf, .owl, .ttl, .nt, .nq) to Excel file<\/h2>\n<p><a href=\"#source\">Choose RDF file<\/a> -> <a href=\"#target\">Set Excel options<\/a> -> <a href=\"#do\">Convert RDF to Excel<\/a><\/p>\n<p>Click &#8220;Start a New Convert&#8221;.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.withdata.com\/images\/datafileconverter\/wizard_task.png\" alt=\"convert RDF file to Excel file - task window\" width=\"468\" height=\"220\" style=\"max-width:100%;height:auto;display:block;\" \/><\/p>\n<p>then show the wizard.<\/p>\n<p>Select source\/target file type.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.withdata.com\/images\/datafileconverter\/wizard_type_rdf-to-excel.png\" alt=\"convert RDF file to Excel file - select type\" width=\"554\" height=\"397\" style=\"max-width:100%;height:auto;display:block;\" loading=\"lazy\" decoding=\"async\" \/><\/p>\n<h3 id=\"source\">1. Open an RDF file (.rdf, .owl, .ttl, .nt, .nq).<\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/www.withdata.com\/images\/datafileconverter\/wizard_source_open-rdf.png\" alt=\"convert RDF file to Excel file - open saved RDF file\" width=\"626\" height=\"474\" style=\"max-width:100%;height:auto;display:block;\" loading=\"lazy\" decoding=\"async\" \/><\/p>\n<h3 id=\"target\">2. Config target Excel file.<\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/www.withdata.com\/images\/datafileconverter\/wizard_destination-rdf-to-excel.png\" alt=\"convert RDF file to Excel file - config Excel file\" width=\"626\" height=\"474\" style=\"max-width:100%;height:auto;display:block;\" loading=\"lazy\" decoding=\"async\" \/><\/p>\n<h3 id=\"summary\">3. Set rows options.<\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/www.withdata.com\/images\/datafileconverter\/wizard_summary-rdf-to-excel.png\" alt=\"convert RDF file to Excel file - summary\" width=\"626\" height=\"474\" style=\"max-width:100%;height:auto;display:block;\" loading=\"lazy\" decoding=\"async\" \/><\/p>\n<h3 id=\"do\">4. Convert RDF to Excel.<\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/www.withdata.com\/images\/datafileconverter\/wizard_convert-rdf-to-excel.png\" alt=\"convert RDF file to Excel file - convert to Excel file\" width=\"626\" height=\"474\" style=\"max-width:100%;height:auto;display:block;\" loading=\"lazy\" decoding=\"async\" \/><\/p>\n<p>See EXCEL file<\/p>\n<p>\n<img decoding=\"async\" src=\"https:\/\/www.withdata.com\/images\/datafileconverter\/wizard_result-rdf-to-excel.png\" alt=\"convert RDF file to Excel file - view  Excel file\" width=\"562\" height=\"529\" style=\"max-width:100%;height:auto;display:block;\" loading=\"lazy\" decoding=\"async\" \/><\/p>\n<h2>RDF to Excel FAQ<\/h2>\n<h3>Which RDF formats can I convert?<\/h3>\n<p>RDF\/XML (<code>.rdf<\/code>, <code>.owl<\/code>), Turtle (<code>.ttl<\/code>, <code>.n3<\/code>), N-Triples (<code>.nt<\/code>) and N-Quads (<code>.nq<\/code>).<\/p>\n<h3>How are RDF triples turned into rows and columns?<\/h3>\n<p>Each distinct subject becomes a row, each predicate becomes a column, and the object becomes the cell value. When a subject has several values for one predicate, they are merged into one cell or split into separate rows, depending on the rows option.<\/p>\n<h3>Can it handle large RDF files?<\/h3>\n<p>Yes. The file is read and converted locally, so the limit is your disk and memory rather than an upload size cap.<\/p>\n<h3>Does it convert RDF to a database as well?<\/h3>\n<p>Yes &mdash; the same RDF parser feeds <a href=\"\/file-to-db\/\">FileToDB<\/a> for Access, SQL Server, MySQL, PostgreSQL, SQLite and more.<\/p>\n<h3>Can I schedule or automate the conversion?<\/h3>\n<p>Yes. Save the session as a command-line script and run it from Windows Task Scheduler or Linux\/macOS cron.<\/p>\n<hr style=\"clear: both;\" \/>\n<p>More about <a href=\"\/tools\/file-to-file\/rdf-to-excel\">RDF to Excel converter<\/a><\/p>\n<div id=\"download-bottom\" style=\"clear: both;\">\n<p>Download Withdata DataFileConverter<a href=\"#download-bottom\" onclick=\"dbv.style.display = 'block';\"><img decoding=\"async\" src=\"https:\/\/www.withdata.com\/images\/btn_download_green.png\" alt=\"Download DataFileConverter\" width=\"165\" height=\"50\" style=\"max-width:100%;height:auto;\" loading=\"lazy\" decoding=\"async\" \/><\/a> <span id=\"dbv\" style=\"display: none;\"><br \/>\n<a href=\"\/download.php?app=DataFileConverter&#038;ver=win64\">Windows 64 bit<\/a><br \/>\n<a href=\"\/download.php?app=DataFileConverter&#038;ver=win32\">Windows 32 bit<\/a><br \/>\n<a href=\"\/download.php?app=DataFileConverter&#038;ver=deb\">Linux .deb (For Debian, Ubuntu) 64 bit<\/a><br \/>\n<a href=\"\/download.php?app=DataFileConverter&#038;ver=rpm\">Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit<\/a><br \/>\n<a href=\"\/download.php?app=DataFileConverter&#038;ver=pkg\">MacOS 64 bit<\/a><br \/>\n<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Have an RDF file (.rdf, .owl, .ttl, .n3, .nt, .nq) and need it in Excel ? Withdata Data File Converter reads every common RDF serialization &mdash; RDF\/XML (.rdf, .owl), Turtle (.ttl, .n3), N-Triples (.nt) and N-Quads (.nq) &mdash; and saves it as Excel. Can run in GUI mode, Step by Step, just a few mouse [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1477],"tags":[13308,15,1993],"class_list":["post-6531","post","type-post","status-publish","format-standard","hentry","category-datafileconverter","tag-convert-file-format","tag-excel","tag-rdf"],"_links":{"self":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/6531","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/comments?post=6531"}],"version-history":[{"count":23,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/6531\/revisions"}],"predecessor-version":[{"id":45706,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/6531\/revisions\/45706"}],"wp:attachment":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/media?parent=6531"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/categories?post=6531"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/tags?post=6531"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}