. We make the suggestion that instead of implementing custom index structures and query evaluation algorithms, IR researchers should simply store document representations in a column-oriented relational database and write ranking models using SQL. For rapid prototyping, this is particularly advantageous since researchers can explore new ranking functions and features by simply issuing SQL queries, without needing to write imperative code. We demonstrate the feasibility of this approach by an implementation of conjunctive BM25 using MonetDB on a part of the ClueWeb12 collection.

Additional Metadata
THEME Information (theme 2)
Publisher Springer
Conference European Conference on Information Retrieval
Citation
Mühleisen, H.F, Samar, T, Lin, J.J.P, & de Vries, A.P. (2014). Column Stores as an IR Prototyping Tool. In Advances in Information Retrieval - 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. . Springer.