Geolexica reverse
Reverse Semantic Search and Ontology Discovery via Machine Learning
Ever forgotten a specific word but could describe its meaning? Internet search engines more than often return unrelated entries. The solution is reverse semantic search: given an input of the meaning of the word (search phrase), provide an output with dictionary words that match the meaning. The key to accurate reverse search lies in the machine’s ability to understand semantics. We employ deep learning approaches in natural language processing (NLP) to enable better comparison of meanings between the search phrases with word definitions. Accuracy will be significantly increased. The project outcome will be employed on Geolexica as a pilot application and testbed for evaluation. The ability to identify entities with similar semantics facilitates ontology discovery in the Semantic Web and in Technical Language Processing (TLP).
- The project's own website: https://www.geolexica.org
Run by Ribose Inc.
This project was funded through the NGI0 Discovery Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 825322.
