GAnswer system is a natural language QA system developed by Institute of Computer Science & Techonology Data Management Lab, Peking University, led by Prof. Zou Lei. GAnswer is able to translate natural language questions to query graphs containing semantic information. Then, the system can further turn query graphs into standard SPARQL query, which will be executed in graph databases, in order to attain answers for the users. We apply an innovative data-driven method for semantic disambiguation. In details, while generating query graphs, we maintain multiple plans for entities and predicate mappings and we conduct semantic disambiguation in the query execution phrase according to entities and predicate matches ( incorrect mappings ).
This is an implementation for TKDE 2018 paper Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs
**For help document, click here 中文(ZH), English
First you must download necessary data files dbpedia16.rar here. The extaction code is 1mcr. You should unzip the file into directory named data.
We recommend you to deploy GAnswer using the jar files we supply. The specific procedure is as follows:
jar -xvf Ganswer.jar
unrar x dbpedia16.rar ./data/
Main_project_directory
Ganswer.jar
unzipped files from Ganswer.jar
dataunzipped files from dbpedia16.rar
java -jar Ganswer.jar
About GAnswer Http API, information can be found in Chapter 2.1.1 in help document.
If you would like to run GAnswer in Eclipse, you need to clone or download the source code and import the project into Eclipse. Afterwards, the jar files in lib directory should be added to Build Path.
Due to the sizes, these jar files can not be uploaded to github. Therefore, you can download them here. The extract code is ud2v.
Meanwhile, dbpedia16.rar is also needed. Please unzipped it into directory named data under the project main directory. Parameters about data path can be found in qa.Globals.localPath.
To run GAnswer, you have to deal with multiple dependencies involving jar, data files and external API. Related information is in Chapter 2.4 in the help document.
You are welcome to use GAnswer and tell us your valuable advice or bug report.
If your advice or report are accepted, your contribution will be recorded in our help document.
We have published some paper about GAnswer and QA task, which you can find in Chapter 3.2 in help document.