Natural Language Query Processing Framework for Biomedical Literature
Authors
Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Mimmo Parente
Corresponding Author
Carmen De Maio
Available Online June 2015.
- DOI
- 10.2991/ifsa-eusflat-15.2015.232How to use a DOI?
- Keywords
- Biomedicine, Fuzzy Formal Concept Analysis, Information Retrieval.
- Abstract
The availability of huge amount of biomedical literature over the Web offers a big opportunity to carry out useful information about published research results. Nevertheless, these information are often enclosed in unstructured documents stressing the need to define suitable framework to support execution of analytics services and richer information discovery tasks. This work introduces a general framework to support natural language user’s query over facet-based data model. It relies on components for knowledge extraction and ontology matching to categorize input biomedical resources with respect to existing biomedical ontologies’ concepts. The framework has been instantiated implementing Fuzzy Formal Concept Analysis algorithm.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Carmen De Maio AU - Giuseppe Fenza AU - Vincenzo Loia AU - Mimmo Parente PY - 2015/06 DA - 2015/06 TI - Natural Language Query Processing Framework for Biomedical Literature BT - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 1628 EP - 1635 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.232 DO - 10.2991/ifsa-eusflat-15.2015.232 ID - DeMaio2015/06 ER -