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
AI数字人视频创作平台
Keevx 一款开箱即用的AI数字人视频创作平台,广泛适用于电商广告、企业培训与社媒宣传,让全球企业与个 人创作者无需拍摄剪辑,就能快速生成多语言、高质量的专业视频。
一站式AI创作平台
提供 AI 驱动的图片、视频生成及数字人等功能,助力创意创作
AI办公助手,复杂任务高效处理
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!
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小说写作助手,一站式润色、改写、扩写
蛙蛙写作—国内先进的AI写作平台,涵盖小说、学术、社交媒体等多场景。提供续写、改写、润色等功能,助力创作者高效优化写作流程。界面简洁,功能全面,适合各类写作者提升内容品质和工作效率。
全能AI智能助手,随时解答生活与工作的多样问题
问小白,由元石科技研发的AI智能助手,快速准确地解答各种生活和工作问题,包括但不限于搜索、规划和社交互动,帮助用户在日常生活中提高效率,轻松管理个人事务。
实时语音翻译/同声传译工具
Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。
一键生成PPT和Word,让学习生活更轻松
讯飞智文是一个利用 AI 技术的项目,能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定,还是学 生群体的职业生涯规划、实习避坑指南,亦或是活动策划、旅游攻略等内容,它都能提供支持,帮助用户精准表达,轻松呈现各种信息。
深度推理能力全新升级,全面对标OpenAI o1
科大讯飞的星火大模型,支持语言理解、知识问答和文本创作等多功能,适用于多种文件和业务场景,提升办公和日常生活的效率。讯飞星火是一个提供丰富智能服务的平台,涵盖科技资讯、图像创作、写作辅助、编程解答、科研文献解读等功能,能为不同需求的用户提供便捷高效的帮助,助力用户轻松获取信息、解决问题,满足多样化使用场景。
一种基于大语言模型的高效单流解耦语音令牌文本到语音合成模型
Spark-TTS 是一个基于 PyTorch 的开源文本到语音合成项目,由多个知名机构联合参与。该项目提供了高效的 LLM(大语言模型)驱动的语音合成方案,支持语音克隆和语音创建功能,可通过命令行界面(CLI)和 Web UI 两种方式使用。用户可以根据需求调整语音的性别、音高、速度等参数,生成高质量的语音。该项目适用于多种场景,如有声读物制作、智能语音助手开发等。
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