Wumpus is an information retrieval system developed at the University of Waterloo. Its main purpose is to study issues that arise in the context of indexing dynamic text collections in multi-user environments. One particular scenario that we are studying is file system search (aka ”desktop search”), in which the underlying text collection is very dynamic and the number of expected index update operations is much greater than the number of search queries submitted by the users of the system.
Keywords for this software
References in zbMATH (referenced in 10 articles , 1 standard article )
Showing results 1 to 10 of 10.
- Ferrada, Héctor; Navarro, Gonzalo: Lempel-Ziv compressed structures for document retrieval (2019)
- Navarro, Gonzalo: Document listing on repetitive collections with guaranteed performance (2019)
- Gog, Simon; Konow, Roberto; Navarro, Gonzalo: Practical compact indexes for top-(k) document retrieval (2017)
- Munro, J. Ian; Navarro, Gonzalo; Nielsen, Jesper Sindahl; Shah, Rahul; Thankachan, Sharma V.: Top-(k) term-proximity in succinct space (2017)
- Namiot, Dmitry; Sneps-Sneppe, Manfred: On search services for Internet of Things (2017)
- Gulin, V. V.; Frolov, A. B.: Categorization of text documents taking into account some structural features (2016)
- Navarro, Gonzalo; Thankachan, Sharma V.: Bottom-(k) document retrieval (2015)
- Navarro, Gonzalo: Spaces, trees, and colors: the algorithmic landscape of document retrieval on sequences (2014)
- Navarro, Gonzalo; Thankachan, Sharma V.: New space/time tradeoffs for top-(k) document retrieval on sequences (2014)
- Büttcher, Stefan; Clarke, Charles L. A.; Cormack, Gordon V.: Information retrieval. Implementing and evaluating search engines. (2010)
Further publications can be found at: http://www.wumpus-search.org/publications.html