Models and Tools for Collaborative Annotation

@misc{citeulike:130365, abstract = {The Annotation Graph Toolkit (AGTK) is a collection of software which facilitates development of linguistic annotation tools. AGTK provides a database interface which allows applications to use a database server for persistent storage. This paper discusses various modes of collaborative annotation and how they can be supported with tools built using AGTK and its database interface. We describe the relational database schema and API, and describe a version of the TableTrans tool which supports collaborative annotation. The remainder of the paper discusses a high-level query language for annotation graphs, along with optimizations, in support of expressive and efficient access to the annotations held on a large central server. The paper demonstrates that it is straightforward to support a variety of different levels of collaborative annotation with existing AGTK-based tools, with a minimum of additional programming effort.}, author = {Ma, Xiaoyi and Lee, Haejoong and Bird, Steven and Maeda, Kazuaki }, citeulike-article-id = {130365}, eprint = {cs.CL/0204004}, keywords = {annotation, computational-linguistics, corpus, natural-language-processing, nlp, tools}, month = {April}, posted-at = {2005-03-17 00:57:15}, priority = {4}, title = {Models and Tools for Collaborative Annotation}, url = {http://arxiv.org/abs/cs.CL/0204004}, year = {2002} }

TY - ELEC ID - citeulike:130365 L3 - citeulike-article-id:130365 TI - Models and Tools for Collaborative Annotation N2 - The Annotation Graph Toolkit (AGTK) is a collection of software which facilitates development of linguistic annotation tools. AGTK provides a database interface which allows applications to use a database server for persistent storage. This paper discusses various modes of collaborative annotation and how they can be supported with tools built using AGTK and its database interface. We describe the relational database schema and API, and describe a version of the TableTrans tool which supports collaborative annotation. The remainder of the paper discusses a high-level query language for annotation graphs, along with optimizations, in support of expressive and efficient access to the annotations held on a large central server. The paper demonstrates that it is straightforward to support a variety of different levels of collaborative annotation with existing AGTK-based tools, with a minimum of additional programming effort. KW - annotation KW - computational-linguistics KW - corpus KW - natural-language-processing KW - nlp KW - tools AU - Ma, Xiaoyi AU - Lee, Haejoong AU - Bird, Steven AU - Maeda, Kazuaki PY - 2002/04/03/ UR - http://arxiv.org/abs/cs.CL/0204004 ER -