Name
Abstract | ||
|---|---|---|
WordNet is a large lexical database used by an uncountable number of applications for computational linguistics. Many proposals have attempted to better describe it in a semantic perspective, especially addressing synonymy, taxonomy and mereology properties, which led to very good results in domain-specific applications. A philosophical shift on this semantic description could, however, improve the scope of these results across different domains. In this direction, this work extends WordNet’s semantic knowledge by addressing philosophical meta-properties. Specifically, we apply the notion of Semantic Types to propose mapping rules between the noun synsets of Wordnet and the top-level constructs of a foundational ontology. For this task we have chosen the Unified Foundational Ontology (UFO), which explicitly exposes philosophical meta-properties of concepts in its structure, leading to a well-founded semantically-enriched version of Wordnet. The proposed rules were validated through an experiment over approximately 5,200 sample mappings, obtaining an average accuracy of 93.5% Furthermore, to show its applicability, the proposal was applied to the task of automatically learning a well-founded domain ontology. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.websem.2019.02.002 | Journal of Web Semantics |
Keywords | Field | DocType |
WordNet,Semantic types,Unified foundational ontology,Ontology learning | Semantic memory,Ontology,Information retrieval,Computer science,Computational linguistics,Noun,Lexical database,Mereology,WordNet,Ontology learning | Journal |
Volume | ISSN | Citations |
57 | 1570-8268 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Felipe Leão | 1 | 2 | 1.42 |
| K. Revoredo | 2 | 110 | 22.85 |
| Fernanda Araujo Baião | 3 | 176 | 32.72 |