This is a Fact based Question Answering System using Apache Solr as backend search engine, Wikipedia dumps as information source, Apache velocity , Html, Css for Web interface Design. The project also uses Linux bash script to perform its various functions like start,stop,training and indexing
![Date Normalization](screenshots/date_norm .jpg)
Throughout this document, WiseOwl_HOME is the base directory for all the wiseowl code
Throughout this document, WiseOwl_HOME is the base directory for all the wiseowl code
WiseOwl uses Maven for building and running the code. To get started, you will need:
JDK 1.7+
Maven 3.0 or higher installed
The OpenNLP English models, available at http://opennlp.sourceforge.net/models-1.5/
Download all the models, and place the in WiseOwl_HOME/opennlp-models place ans.bin model from the repository to WiseOwl_HOME/opennlp-models/qa
Get WordNet 3.0 and place it in the WiseOwl_HOME root directory. (usually it comes as zipped file, so unzip it using gunzip or other utilities) You may find it at the given link or perform a simple google search to find it. http://wordnetcode.princeton.edu/3.0/WordNet-3.0.tar.gz
Download Apache Solr 6.3.0 available at http://lucene.apache.org/solr/ copy contrib, server and dist folder from Solr 6.3.0 package to WiseOwl_HOME root directory
Download stanford coreNLP from their official website. https://stanfordnlp.github.io/CoreNLP/download.html and include it on your build path or you can add maven dependencies(not recommended for unstable internet connections because file is quite big)
Prior to building the source, for those previously unfamiliar with Maven, it may be wise to read this to avoid future hassles: http://maven.apache.org/guides/getting-started/maven-in-five-minutes.html
To build the source, in WiseOwl_HOME:
mvn clean package
Point your web browser to http://localhost:8983/solr/WiseOwl/answer
You will see a screen similar to a screen below.
We are greatly thankful to Grant Ingersoll for their open source project under the book TamingText Their work is really great! We have built on their code. We thank them so much. It was great help and learning experience for us. Their original project can be found at: https://github.com/tamingtext/book