This ontology aims to capture the semantics of documents through a set of key aspects in texts, such as the temporal dimension, presence of named entities, detection of opinionated information, or conceptual classifications. In addition, the ontology provides a lexical dimension, where the sentence of each document, and a possible summary derived from it, are taken into account. These are determining factors for setting up our own interpretation of possible scenarios (a meta-level specification) and vocabulary. Since our ontology aims to be reused by a large community, we tried to establish basic NLP terminology that was hierarchized by experts in this research field.
Elena Lloret, Yoan Gutiérrez and José M. Gómez. Developing an Ontology to Capture Documents’ Semantics. Proceedings of 7th International Conference on Knowledge Engineering and Ontology Development. 12-14 Novembre, 2015. Porto, Portugal.