Tree Annotation Vocabulary (TAV) - Knowledge Graph and Annotated Dataset
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https://zenodo.org/record/13382193
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资源简介:
This dataset contains all the files used in developing the Tree-KG, the knowledge graph to capture the tree annotations in the works of Vladimir Nabokov.
In the Ontology Versions folder, four ontology (TAV) files in turtle (.ttl) format are provided. They are all numbered and dated to represent their different versions. Also, the competency questions (CQs) and sample SPARQL queries provided in .txt files. The KG was developed on Protégé.
(1) contains the schema for the TAV vocabulary without the linking to external vocabularies.
(2) contains the schema for TAV vocabulary with the links to external terms.
(3) contains the Tree-KG along with the data from three Nabokov novels (Mary; King, Queen, Knave; Glory) in a self-contained way.
(4) contains the Tree-KG that reflects the data from three novels (Mary; King, Queen, Knave; Glory) in a linked data way.
(5) contains some of the CQs used to develop TAV (.txt) file.
(6) contains some sample SPARQL queries (.txt) file.
In the Trees of Nabokov-Annotated Dataset folder, 6 spreadsheets in excel (.xlsx) format are provided. They are numbered. Note that annotated data are all in English as the consulted works are the English translations of the literary works of Nabokov.
(1) contains the tree annotations from the novels originally written in Russian by Vladimir Nabokov.
(2) contains the tree annotations from the novels originally written in English by Vladimir Nabokov.
(3) contains the tree annotations from the short stories originally written in Russian and English by Vladimir Nabokov.
(4) is the knowledge base (KB) developed to link the annotated trees to Wikidata and DBPedia.
(5) is the benchmarking results of some entity recognition tools. It also includes the relevant passages from Nabokov's novels that were used in the experiments.
(6) represents the complete bibliographic details of the works of Vladimir Nabokov (https://thenabokovian.org/abbreviations).
创建时间:
2024-09-28



