Abstract
This paper proposes and evaluates certain supervised and unsupervised approaches to Named Entity Disambiguation in JSON documents, for linking of all ambiguous JSON objects to their most appropriate candidate DBpedia ontology classes. We achieve this by taking into account knowledge about the hierarchal structure of the document and two kinds of scores, namely Sibling Relatedness and Parental Relatedness, along with textual similarity between a class and the object indicated by the Textual Similarity score.
| Original language | English |
|---|---|
| Pages (from-to) | 295-307 |
| Number of pages | 13 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2086 |
| Publication status | Published - 2017 |
| Event | 25th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2017 - Dublin, Ireland Duration: 7 Dec 2017 → 8 Dec 2017 |
Keywords
- JSON disambiguation
- Linked Data
- Named Entity Disambiguation
- Ontology Mapping