oeg-upm / tada-hdt-entity-experiment

Run experiments using tada-hdt-entity library

tada-hdt-entity-experiment

Run experiments using tada-hdt-entity library

Datasets

• T2Dv2

T2Dv2

• classes_with_col_GS.csv: this file contains the file names, the column id of the subject columns, and their classes This is update version from the classes_GS.csv provided by the T2Dv2. We changed the concept column with the subject column id and we fixed some mislabels.
• classes_with_col_GS_2016_04: a subset of classes_with_col_GS.csv, which contains the entity columns which exists in dbpedia's hdt of 04-2016.
• properties_entity.csv: contains the properties with entities as the objects
• properties_2016_04.csv: a subset of properties_entity.csv which only contains the properties which exists in dbpedia's hdt of 04-2016.
• tranformer.py: a python script to generate properties_entity.csv from the annotation files of T2Dv2.

To generate properties files

1. To generate properties_entity.csv. python tranformer.py "T2Dv2_dir/property" classes_with_col_GS_2016_04.csv properties_entity.csv You can replace T2Dv2_dir with the directory containing the T2Dv2 folder. You can download it from here.
2. To generate properties_2016_04.csv, you need to change the main.cpp and include the following source code:

#include<iostream>
#include<string>
#include<stdio.h>
#include "t2dv2.h"
#include <tabular_parser/parser.h>
using namespace std;

int main(int argc, char* argv[]) {
    T2Dv2* t2d = new T2Dv2(hdt_file, log_file, classes_file, files_dir);
    t2d->set_lang_tag("@en");
    t2d->set_title_case(false);
    t2d->generate_properties_file("datasets/t2dv2/properties_entity.csv", "datasets/t2dv2/properties_2016_04.csv");
    return 0;
}

and then compile and run make;bin/tadaeexperiment