Document Retrieval with Category-based Query Expansion

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Searching for scientific papers with query terms is a challenge due to: mismatch of query terms and document terms; Query expansion may be used to remedy this problem, and category-based query expansio uses semantic information and yield better performance than statistical expansion. Note the following example shows that the expansion terms of dopamine for different Phenotypes (e.g. brain region, cognition and gene) level are quite different from pure statistical co-occurrence.


query expansion example


How to

1: Input interested concept in the input box

2: Click on the suggested concepts in Expanded Queries, and click "Add to Query"

3: Hit the Make Query button to show the results

4: In the results, click 'hide/show' assertions to display assertions mined from a relevant article


Input the concept term and select. The term will be expanded automatically.


select candidates in categories: syndrome symptom cognitive task brain region gene

Query: (Click concepts to remove)

Expanded queries

Click concepts to choose: the chosen queries will be used to refine the result. The chosen expanded queries will have a smaller weight than original ones.
Add the chosen queries to original queries thus make a new expansion. Queries added to the original query will have the same weight as original ones.

Syndrome:

Symptom:

Cognitive:

Task:

Brain Region:

Gene: