
WIDOCO helps you to publish and create an enriched and customized documentation of your ontology automatically, by following a series of steps in a GUI.
Author: Daniel Garijo Verdejo (@dgarijo)
Contributors: María Poveda, Idafen Santana, Almudena Ruiz, Miguel Angel García, Oscar Corcho, Daniel Vila, Sergio Barrio, Martin Scharm, Maxime Lefrancois, Alfredo Serafini, @kartgk, Pat Mc Bennett, Christophe Camel, Jacobus Geluk, Martin Scharm, @rpietzsch, Jonathan Leitschuh, Jodi Schneider, Giacomo Lanza, Alejandra Gonzalez-Beltran, Mario Scrocca, Miguel Angel García, Flores Bakker, @JohnnyMoonlight, René Fritze, @telecsur, Jan Vlug, Han Kruiger, Johannes Theissen-Lipp, Roberto Polli, Victor Chavez, Sirko Schindler and Michaël Dierick.
Citing WIDOCO: If you used WIDOCO in your work, please cite the ISWC 2017 paper: https://iswc2017.semanticweb.org/paper-138
@inproceedings{garijo2017widoco, title={WIDOCO: a wizard for documenting ontologies}, author={Garijo, Daniel}, booktitle={International Semantic Web Conference}, pages={94--102}, year={2017}, organization={Springer, Cham}, doi = {10.1007/978-3-319-68204-4_9}, funding = {USNSF ICER-1541029, NIH 1R01GM117097-01}, url={http://dgarijo.com/papers/widoco-iswc2017.pdf} }
If you want to cite the latest version of the software, you can do so by using: https://zenodo.org/badge/latestdoi/11427075.
To download WIDOCO, you need to download a JAR executable file. Check the latest release for more details: (https://github.com/dgarijo/WIDOCO/releases/latest).
Just add the dependency and repository to your pom.xml file as follows. See the WIDOCO JitPack page to find alternative means to incorporate WIDOCO to your project.
<dependencies> <dependency> <groupId>com.github.dgarijo</groupId> <artifactId>Widoco</artifactId> <version>v1.4.24</version> </dependency> </dependencies> [ ... ] <repositories> <repository> <id>jitpack.io</id> <url>https://jitpack.io</url> </repository> </repositories>
WIDOCO helps you to publish and create an enriched and customized documentation of your ontology, by following a series of steps in a wizard. We extend the LODE framework by Silvio Peroni to describe the classes, properties and data properties of the ontology, the OOPS! webservice by María Poveda to print an evaluation and the Licensius service by Victor Rodriguez Doncel to determine the license URI and title being used. In addition, we use WebVowl to visualize the ontology and have extended Bubastis to show a complete changelog between different versions of your ontology.
Features of WIDOCO:
Examples of the features of WIDOCO can be seen on the gallery
A tutorial explaining the main features of the GUI can be found here
To see how WIDOCO recognizes metadata annotations in your ontology to create the documentation files, see the WIDOCO metadata documentation. To learn which metadata properties we recommend adding to your ontology for producing a nice-looking documentation, have a look at our best practices guide.
For example, in order to show your logo in your documentation you just need to use foaf:logo as an annotation, as follows:
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
<https://w3id.org/roar> a owl:Ontology ;
foaf:logo <https://www.leonvanwissen.nl/vocab/roar/docs/resources/roar-logo.png#> .
and it will show right next to the title. The WIDOCO metadata documentation shows all supported metadata fields.
We provide JAR files for each release (see the releases page). However, if you want to build WIDOCO from scratch, just cd into the project folder and run:
mvn install
The JAR will be generated in a "JAR" folder. The name will follow the pattern: widoco-{VERSION_ID}-jar-with-dependencies.jar, where {VERSION_ID} is the version number of the tool.
Download the latest .jar WIDOCO available release (it will be something like widoco-VERSION-jar-with-dependencies.jar). Then just double click the .jar file.
You may also execute WIDOCO through the command line. Usage:
java -jar widoco-VERSION-jar-with-dependencies.jar [OPTIONS]
If you don't want to use the JAR directly, you may run the project using a Docker container. First you will need to download or build the image, and then run it.
We build containers in the GitHub image registry for all latest releases. In order to import one, just run the following command, stating the version of Widoco you prefer (e.g., for v1.4.23):
docker pull ghcr.io/dgarijo/widoco:v1.4.23
To browse all available images, see the GitHub image registry.
Build the image using the Dockerfile in project folder:
docker build -t dgarijo/widoco .
You can now execute WIDOCO through the command line. Usage:
docker run -ti --rm dgarijo/widoco [OPTIONS]
Note: If you downloaded the image from the GitHub registry, you will have to change dgarijo/widoco with the name of the image you downloaded. For example ghcr.io/dgarijo/widoco:v1.4.23.
If you want to share data between the Docker Container and your Host, for instance to load a local ontology file (from PATH), you will need to mount the container with host directories. For instance:
docker run -ti --rm \ -v `pwd`/test:/usr/local/widoco/in:Z \ -v `pwd`/target/generated-doc:/usr/local/widoco/out:Z \ dgarijo/widoco -ontFile in/bne.ttl -outFolder out -rewriteAll
-analytics CODE: Add a code snippet for Google analytics to track your HTML documentation. You need to add your CODE next to the flag. For example: UA-1234
-confFile PATH: Load your own configuration file for the ontology metadata. Use this option if you want to load your own HTML sections as well. Incompatible with -getOntologyMetadata. See the configuration documentation for more information about the accepted fields.
-crossRef: ONLY generate the overview and cross reference sections. The index document will NOT be generated. The htaccess, provenance page, etc., will not be generated unless requested by other flags. This flag is intended to be used only after a first version of the documentation exists.
-displayDirectImportsOnly: Only those imported ontologies that are directly imported in the ontology being documented.
-doNotDisplaySerializations: The serializations of the ontology will not be displayed.
-excludeIntroduction: Skip the introduction section in the documentation.
-excludeProvenance: Do not add the link "Provenance of this page" in the metadata header section
-getOntologyMetadata: Extract ontology metadata from the given ontology
--help: Shows a help message and exits.
-htaccess: Create a bundle for publication ready to be deployed on your Apache server.
-ignoreIndividuals: Individuals will not be included in the documentation.
-includeAnnotationProperties: Include annotation properties defined in your ontology in the documentation (by default they are not included)
-includeImportedOntologies: Indicates whether the terms of the imported ontologies of the current ontology should be documented as well or not.
-import: imports a local ontology (e.g., if you don't want to load an online ontology, you may load its local version)
-lang LANG1-LANG2: Generate documentation in multiple languages (separated by "-"). Note that if the language is not supported, the system will load the labels in english. For example: en-pt-es
-licensius: Use the Licensius web services (http://licensius.com/apidoc/index.html) to retrieve license metadata. Only works if the -getOntologyMetadata flag is enabled.
-noPlaceHolderText: Do not add any placeholder text (this will remove intro, abstract (if empty) and description sections).
-ontFile PATH [required (unless -ontURI is used)]: Load a local ontology file (from PATH) to document. This option is incompatible with -ontURI
-outFolder folderName: Specifies the name of the folder where to save the documentation. By default is 'myDocumentation'
-ontURI URI [required (unless -ontFile is used)]: Load an ontology to document from its URI. This option is incompatible with -ontFile
-oops: Create an html page with the evaluation from the OOPS service (http://oops.linkeddata.es/)
-rewriteAll: Replace any existing files when documenting an ontology (e.g., from a previous execution)
-rewriteBase PATH: Change the default rewrite base path. The default value is "/". This flag can only be used with the htaccess option.
-saveConfig PATH: Save a configuration file on PATH with the properties of a given ontology
-uniteSections: Write all HTML sections into a single HTML document.
-useCustomStyle: Export the documentation using alternate css files (by Daniel Vila).
--version: Shows the current version of WIDOCO.
-webVowl: Create a visualization based on WebVowl (http://vowl.visualdataweb.org/webvowl/index.html#) in the documentation.
There are two alternative ways for making WIDOCO get your vocabulary metadata annotations and use them automatically to document the ontology.
For more information, see the Widoco metadata guide
WIDOCO separates the contents of different sections in HTML files, which are then loaded in the index.html file. WIDOCO was designed this way because it's easier to edit your introduction or description sections independently without being all aggregated together in a huge HTML document. When all the contents generated by WIDOCO are stored in a server, you will be able to see the documentation of your ontology using any browser. However, if you open the index.html file on your local browser, you may see a document missing most of the sections in your documentation. This happens because browsers don't allow loading separate content when opening a file locally for security reasons. If you want to explore how your ontology would look locally, you have two options:
-uniteSections flag; or select the option add al sections in a single document in the "load sections" step in the WIDOCO GUI. This will make all the sections of WIDOCO to be in the index.html; and you will be able to see it in your browser. Note that the LODE visualization will not be available when exploring your ontology locally.htdocs folder for Apache servers).If you place the files generated by WIDOCO in a server and access them via its URL (for example, a Github page), you should be able to see your documentation appropriately.
For a complete list of the current improvements and next features, check the project open issues and milestones in the repository.
You will need Java 1.8 or higher (SDK 1.8 or JRE 8) for WIDOCO to work Otherwise, you will probably experience an "Unsupported major.minor version 52.0" exception when executing the JAR file.
Contributions to address any of the current issues are welcome. In order to push your contribution, just push your pull request to the develop branch. The master branch has only the code associated to the latest


职场AI,就用扣子
AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域 的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!


多风格AI绘画神器
堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。


零代码AI应用开发平台
零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。


免费创建高清无水印Sora视频
Vora是一个免费创建高清无水印Sora视频的AI工具


最适合小白的AI自动化工作流平台
无需编码,轻松生成可复用、可变现的AI自动化工作流

大模型驱动的Excel数据处理工具
基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。


AI辅助编程,代码自动修复
Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。


AI论文写作指导平台
AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等 一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。


AI一键生成PPT,就用博思AIPPT!
博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。


AI赋能电商视觉革命,一站式智能商拍平台
潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。
最新AI工具、AI资讯
独家AI资源、AI项目落地

微信扫一扫关注公众号