JarCastinggraphANNIS 
This is a new backend implementation of the ANNIS linguistic search and visualization system (http://corpus-tools.org/annis/).
While there are test cases, this project is still in a pre-release beta phase. Only a sub-set of the ANNIS Query Langugage (AQL) is supported yet (full support is planned). Integration with ANNIS is currently implemented in the development version and released as a beta version. There is a tutorial in the Developer Guide on how to embedd graphANNIS in your own application.
The basic design ideas and data models are described in detail in the PhD-thesis "ANNIS: A graph-based query system for deeply annotated text corpora". The thesis describes a prototype implementation in C++ and not Rust, but the design ideas are the same. Noteable differences/enhancements compared to the thesis are:
- Graph storages implement querying inverse edges and finding reachable nodes based on them: this allows to implement inverse operators (e.g. for precedence) and switching operands in situations where it was not possible before.
- The data model has been simplified: the inverse coverage component and inverse edges in the left-/right-most token component have been removed.
- Additional query language features are now supported.
How to compile
graphANNIS is written in the Rust programming language (https://www.rust-lang.org). You can install Rust from https://www.rust-lang.org/tools/install. After you have installed Rust, you can can build the complete project with
cargo build --release
Documentation
- Developer Guide (including descriptions of the data model and tutorials for the API)
- API documentation
3rd party dependencies
This software depends on several 3rd party libraries. These are documented in the "third-party-licenses.html" file in this folder.
Language bindings
- Java: https://github.com/korpling/graphANNIS-java
- Python 3: https://github.com/korpling/graphANNIS-python
- Rust (this repository)
- C (this repository)
Author(s)
- Thomas Krause (thomaskrause@posteo.de)
How to cite
@phdthesis{Krause2019ANNIS:,
author = {Krause, Thomas},
title = {ANNIS: A graph-based query system for deeply annotated text corpora},
school = {Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät},
year = {2019},
doi = {http://dx.doi.org/10.18452/19659}
}
