ir-course-uoi-data
The project for the Information Retrieval course @cse.uoi.gr is about implementing a search engine for Wikipedia articles using Apache Lucene.
Article crawling is performed using crawl-wikipedia.py and is organized
in two stages.
- In stage one, the crawler reads
crawler-seeds.txtand retrieves the corresponding webpages which are parsed to identify more URLs to Wikipedia articles, continuing recursively until the required amount of URLs has been reached. - In stage two, Wikipedia articles specified by the URls retrieved in stage
one are downloaded by multiple threads to achieve a small download time
(by utilizing larger bandwidth). The raw HTML files are stored in
repository/directory.
Plain text extraction from HTML files is performed by preprocess.py and output
text files are stored in corpus/ directory. Because repository/ and corpus/
exceed 1 GB of storage size, corpus/ directory has not been uploaded in git.
In ir-course-uoi, the implementation
of the search engine has taken place.
Screenshots
