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inception

eclipse-inceptionApache-2.0活跃维护

面向自然语言处理与人文研究的语义标注平台，支持主动学习、实体链接和知识库管理，帮助团队高效完成文本标注与知识整理。

INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.

inception-42.2发布于 2026-10-27 11:15 UTC730star171fork同步于 2026-11-10 05:59 UTC
语义标注主动学习实体链接知识库标注工具
对比 GitHub 官网active-learningannotation-editorannotation-suggestionsannotation-toolentity-linking

怎么上手

README 里没有找到可直接复制的安装命令
原文

README 里没有找到可直接复制的安装命令，请到 README 或官方文档查看安装方式。

硬件要求

README 没有说明硬件要求。

下载：源码 zip·GitHub Releases（安装包）本站不镜像安装包

项目说明

这个项目的说明还在生成中，先参考下面「最近发版」和 README。

最近发版

5 个版本inception-42.2
全部 release
  1. inception-42.2INCEpTION 42.2最新正式版2026-10-27 · 2026-10-27 11:15 UTC

    NOTE: This release is a pre-Eclipse era release. All versions up to and including 42.x have been prepared before joining the Eclipse Foundation. The first Eclipse INCEpTION release is planned to be 43.0 in early January 2027

    INCEpTION is an extensible web-based collaborative environment for text annotation. It integrates machine-learning-based annotation support, knowledge base management and corpus building into a single comprehensive platform.

    This is a bug fix release.

    What's Changed

    Full Changelog: https://github.com/inception-project/inception/compare/inception-42.1...inception-42.2

    Download

    The new version can be downloaded from our website [3] or is available as docker images from GitHub [8].

    Important upgrade notes

    Please check the upgrade notes [7]. If you upgrade from an older version, check upgrade and release notes of intermediate releases as well.

    An in-place upgrade from INCEpTION 42.1 to 42.2 is possible. You can usually also perform an in-place upgrade from an older version, but you should make sure that each of the intermediate releases allow an in-place upgrade to the next higher release.

    Back up your data before the upgrade [4].

    Publication

    An overview of INCEpTION can be found in

    Klie, J.-C., Bugert, M., Boullosa, B., Eckart de Castilho, R. and Gurevych, I. (2018): The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation. In Proceedings of System Demonstrations of the 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA

    PDF and BibTeX as well as more publications on specific features are available from our website [5].

    License and System requirements

    INCEpTION is provided as open source software under the Apache License version 2.

    Running INCEpTION requires Java version 21 or higher.

    By default, INCEpTION uses an embedded database which is sufficient for testing. However, the use of a MariaDB database is recommended.

    INCEpTION works best with Chrome and Safari.

    -- The INCEpTION developer team

    [1] https://github.com/inception-

  2. inception-42.1INCEpTION 42.12026-10-13 · 2026-10-13 20:03 UTC
    查看更新说明

    NOTE: This release is a pre-Eclipse era release. All versions up to and including 42.x have been prepared before joining the Eclipse Foundation. The first Eclipse INCEpTION release is planned to be 43.0 in early January 2027

    INCEpTION is an extensible web-based collaborative environment for text annotation. It integrates machine-learning-based annotation support, knowledge base management and corpus building into a single comprehensive platform.

    This is a bug fix and minor feature release.

    What's Changed

    Full Changelog: https://github.com/inception-project/inception/compare/inception-42.0...inception-42.1

    Download

    The new version can be downloaded from our website [3] or is available as docker images from GitHub [8].

    Important upgrade notes

    Please check the upgrade notes [7]. If you upgrade from an older version, check upgrade and release notes of intermediate releases as well.

    An in-place upgrade from INCEpTION 42.0 to 42.1 is possible. You can usually also perform an in-place upgrade from an older version, but you should make sure that each of the intermediate releases allow an in-place upgrade to the next higher release.

    Back up your data before the upgrade [4].

    Publication

    An overview of INCEpTION can be found in

    Klie, J.-C., Bugert, M., Boullosa, B., Eckart de Castilho, R. and Gurevych, I. (2018): The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation. In Proceedings of System Demonstrations of the 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA

    PDF and BibTeX as well as more publications on specific features are available from our website [5].

    License and System requirements

    INCEpTION is provided as open source software under the Apache License version 2.

    Running INCEpTION requires Java version 21 or higher.

    By default, INCEpTION uses an embedded database which is sufficient for testing. However, the use of a MariaDB database is recommended.

    INCEpTION works best with Chrome and Safari.

    -- The INCEpTION developer team

    [1] https://github.com/inception-project/inception/issues?q=milestone%3A42.1 [2] https://github.com/inception-project/inception/issues [3] https://inception-project.github.io/downloads/ [4] https://inception-project.github.io/releases/42.1/docs/admin-guide.html#_backup_your_data [5] https://inception-project.github.io/publications/ [6] https://inception-project.github.io/releases/42.1/docs/admin-guide.html#_running_the_behind_a_reverse_proxy_jar [7] https://inception-project.github.io/releases/42.1/docs/admin-guide.html#_upgrade_notes [8] https://github.com/inception-project/inception/pkgs/container/inception

  3. inception-42.0INCEpTION 42.02026-09-29 · 2026-09-29 14:16 UTC
    查看更新说明

    NOTE: This release is a pre-Eclipse era release. All versions up to and including 42.x have been prepared before joining the Eclipse Foundation. The first Eclipse INCEpTION release is planned to be 43.0 in early January 2027

    INCEpTION is an extensible web-based collaborative environment for text annotation. It integrates machine-learning-based annotation support, knowledge base management and corpus building into a single comprehensive platform.

    This is a feature and bug fix release.

    What's Changed

    Annotation
    Curation
    Agreement
    🧪 Assistant
    Remote API
  4. inception-41.6INCEpTION 41.62026-09-15 · 2026-09-15 21:14 UTC
    查看更新说明

    INCEpTION is an extensible web-based collaborative environment for text annotation. It integrates machine-learning-based annotation support, knowledge base management and corpus building into a single comprehensive platform.

    This is a bug fix release.

    What's Changed

    Full Changelog: https://github.com/inception-project/inception/compare/inception-41.5...inception-41.6

    Download

    The new version can be downloaded from our website [3] or is available as docker images from GitHub [8].

    Important upgrade notes

    Please check the upgrade notes [7]. If you upgrade from an older version, check upgrade and release notes of intermediate releases as well.

    An in-place upgrade from INCEpTION 41.5 to 41.6 is possible. You can usually also perform an in-place upgrade from an older version, but you should make sure that each of the intermediate releases allow an in-place upgrade to the next higher release.

    Back up your data before the upgrade [4].

    Publication

    An overview of INCEpTION can be found in

    Klie, J.-C., Bugert, M., Boullosa, B., Eckart de Castilho, R. and Gurevych, I. (2018): The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation. In Proceedings of System Demonstrations of the 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA

    PDF and BibTeX as well as more publications on specific features are available from our website [5].

    License and System requirements

    INCEpTION is provided as open source software under the Apache License version 2.

    Running INCEpTION requires Java version 21 or higher.

    By default, INCEpTION uses an embedded database which is sufficient for testing. However, the use of a MariaDB database is recommended.

    INCEpTION works best with Chrome and Safari.

    -- The INCEpTION developer team

    [1] https://github.com/inception-project/inception/issues?q=milestone%3A41.6 [2] https://github.com/inception-project/inception/issues [3] https://inception-project.github.io/downloads/ [4] https://inception-project.github.io/releases/41.6/docs/admin-guide.html#_backup_your_data [5] https://inception-project.github.io/publications/ [6] https://inception-project.github.io/releases/41.6/docs/admin-guide.html#_running_the_behind_a_reverse_proxy_jar [7] https://inception-project.github.io/releases/41.6/docs/admin-guide.html#_upgrade_notes [8] https://github.com/inception-project/inception/pkgs/container/inception

  5. inception-41.5INCEpTION 41.52026-09-01 · 2026-09-01 18:06 UTC
    查看更新说明

    INCEpTION is an extensible web-based collaborative environment for text annotation. It integrates machine-learning-based annotation support, knowledge base management and corpus building into a single comprehensive platform.

    This is a bug fix release.

    What's Changed

    Full Changelog: https://github.com/inception-project/inception/compare/inception-41.4...inception-41.5

    Download

    The new version can be downloaded from our website [3] or is available as docker images from GitHub [8].

    Important upgrade notes

    Please check the upgrade notes [7]. If you upgrade from an older version, check upgrade and release notes of intermediate releases as well.

    An in-place upgrade from INCEpTION 41.4 to 41.5 is possible. You can usually also perform an in-place upgrade from an older version, but you should make sure that each of the intermediate releases allow an in-place upgrade to the next higher release.

    Back up your data before the upgrade [4].

    Publication

    An overview of INCEpTION can be found in

    Klie, J.-C., Bugert, M., Boullosa, B., Eckart de Castilho, R. and Gurevych, I. (2018): The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation. In Proceedings of System Demonstrations of the 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA

    PDF and BibTeX as well as more publications on specific features are available from our website [5].

    License and System requirements

    INCEpTION is provided as open source software under the Apache License version 2.

    Running INCEpTION requires Java version 21 or higher.

    By default, INCEpTION uses an embedded database which is sufficient for testing. However, the use of a MariaDB database is recommended.

    INCEpTION works best with Chrome and Safari.

    -- The INCEpTION developer team

    [1] https://github.com/inception-project/inception/issues?q=milestone%3A41.5 [2] https://github.com/inception-project/inception/issues [3] https://inception-project.github.io/downloads/ [4] https://inception-project.github.io/releases/41.5/docs/admin-guide.html#_backup_your_data [5] https://inception-project.github.io/publications/ [6] https://inception-project.github.io/releases/41.5/docs/admin-guide.html#_running_the_behind_a_reverse_proxy_jar [7] https://inception-project.github.io/releases/41.5/docs/admin-guide.html#_upgrade_notes [8] https://github.com/inception-project/inception/pkgs/container/inception

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    README 原文

    未翻译
    在 GitHub 打开

    GitHub release (latest SemVer) GitHub license Join the chat at https://gitter.im/inception-project/Lobby

    INCEpTION

    Build annotated text corpora with your own annotation scheme, ground them in your own ontology, and let a recommender that learns as you go do the repetitive part.

    • Annotate against your ontology. Load RDF, OWL, OBO, SKOS or Turtle, or query a remote SPARQL endpoint live. Profiles for Wikidata, SNOMED CT, the Gene Ontology, the Human Phenotype Ontology and GND.
    • Stack as many layers as your scheme needs. Entities, relations, coreference, syntax, frames and document labels over the same text, with typed features and slots. Define it all in the browser.
    • Get suggestions that improve while you work. Recommenders train on what you have annotated so far; active learning asks about the cases they are least sure of. Nothing is stored until you accept it.
    • Know your annotations are good. Curate several annotators into a gold standard, measure inter-annotator agreement, and chart what you collected in the Explorer.
    • Runs where you need it to run. A desktop installer for one person, or a server deployment for a whole institution — on your own hardware, with your own single sign-on.
    • Drive it from your own code. REST API, webhooks, and your own models as external recommenders.
    • Speaks your field's formats. Imports plain text, PDF, HTML and TEI; exports UIMA CAS XMI/JSON with custom layers intact, or CoNLL-U.

    More detail, screenshots and example projects are on the INCEpTION website.

    Getting started

    The best way to get started is to watch our tutorial videos, working through the Getting Started Guide and playing with INCEpTION on the demo server.

    Documentation

    Example projects and use cases are on the website, along with Python scripts and Jupyter notebooks for preparing and post-processing annotations.

    Do you have questions or feedback?

    INCEpTION is actively developed and maintained, and you are welcome to give us feedback and tell us your wishes and requirements.

    How to cite

    Please use the following citation:

    @inproceedings{klie-etal-2018-inception,
    title = "The {INCE}p{TION} Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation",
    author = "Klie, Jan-Christoph and Bugert, Michael  and Boullosa, Beto and Eckart de Castilho, Richard and Gurevych, Iryna",
    booktitle = "Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations",
    year = "2018",
    address = "Santa Fe, New Mexico",
    url = "https://www.aclweb.org/anthology/C18-2002",
    pages = "5--9"
}

    Contributing

    Do you miss a feature? We very much appreciate your contribution! Please open an issue before sending a pull request. INCEpTION uses the DKPro Contribution Guidelines.

    1. Create a fork
    2. Create your feature branch: git checkout -b my-feature
    3. Commit your changes: git commit -am 'Add some feature'
    4. Push to the branch: git push origin my-new-feature
    5. Submit a pull request 🚀

    License

    INCEpTION is provided as open source under the Apache License v2.0.

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