DBLP Citation Reporter

Creates a report of impactful Computer Science conferences in the DBLP, based on citations.

Based on the DBLPParser by Isaac Changhau, a python parser for the dataset of the DBLP computer science bibliography. The XML format of DBLP data can be downloaded as a .dtd file from here.

Software needed: make to run scripts easily, wget to download dataset from DBLP, gzip to uncompress dataset, Python 3 to parse xml. Windows users can install make, wget, gzip all from here.

Useful make targets and commands:

• TODO: make report will output a small report of the most cited conferences
• make dataset will download and decompress the most recent dataset from DBLP automatically (may take some time)
• make clean will remove the dataset so that a fresh and updated dataset can be downloaded
• make venv will create the python virtual environment and setup the pip package requirements
• make clean-venv will remove the python virtual environment so it can be recreated from scratch

The DBLP Dataset Parser

The parser requires dtd file, so make sure you have both dblp-XXX.xml (dataset) and dblp-XXX.dtd files. Note that you also should guarantee that both xml and dtd files are in the same directory, and the name of dtd file shoud same as the name given in the <!DOCTYPE> tag of the xml file. Such information can be easily accessed through head dblp-XXX.xml command. As shown below

<?xml version="1.0" encoding="ISO-8859-1"?>
<!DOCTYPE dblp SYSTEM "dblp-2017-08-29.dtd">
<dblp>
<phdthesis mdate="2016-05-04" key="phd/dk/Heine2010">
<author>Carmen Heine</author>
<title>Modell zur Produktion von Online-Hilfen.</title>
...

A sample to use the parser:

def main():
    dblp_path = 'dataset/dblp.xml'
    save_path = 'article.json'
    try:
        context_iter(dblp_path)
        log_msg("LOG: Successfully loaded \"{}\".".format(dblp_path))
    except IOError:
        log_msg("ERROR: Failed to load file \"{}\". Please check your XML and DTD files.".format(dblp_path))
        exit()
    parse_article(dblp_path, save_path, save_to_csv=False)  # default save as json format