Name
Abstract | ||
|---|---|---|
We developed a two-stream, Apache Solr-based information retrieval system in response to the bioCADDIE 2016 Dataset Retrieval Challenge. One stream was based on the principle of word embeddings, the other was rooted in ontology based indexing. Despite encountering several issues in the data, the evaluation procedure and the technologies used, the system performed quite well. We provide some pointers towards future work: in particular, we suggest that more work in query expansion could benefit future biomedical search engines. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1093/database/bax056 | DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION |
Field | DocType | Volume |
Data mining,Information retrieval,Computer science | Journal | 2017 |
ISSN | Citations | PageRank |
1758-0463 | 2 | 0.38 |
References | Authors | |
9 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antony Scerri | 1 | 2 | 0.38 |
| John Kuriakose | 2 | 4 | 0.74 |
| Amit Ajit Deshmane | 3 | 2 | 0.38 |
| Mark Stanger | 4 | 2 | 0.38 |
| Peter Cotroneo | 5 | 2 | 0.38 |
| Rebekah Moore | 6 | 2 | 0.38 |
| Raj Naik | 7 | 2 | 0.38 |
| Anita de Waard | 8 | 65 | 13.02 |