Abstract
We use Common Crawl's 25TB data set of web pages to construct a database of associated concepts using Hadoop. The database can be queried through a web application with two query interfaces. A textual interface allows searching for similarities and differences between multiple concepts using a query language similar to set notation, and a graphical interface allows users to visualize similarity relationships of concepts in a force directed graph.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 13th Dutch-Belgian Workshop on Information Retrieval, DIR 2013 |
| Subtitle of host publication | Delft, The Netherlands, April 26th, 2013 |
| Editors | Carsten Eickhoff, Arjen P. de Vries |
| Place of Publication | Aachen, Germany |
| Publisher | CEUR |
| Pages | 56-57 |
| Number of pages | 2 |
| Publication status | Published - Apr 2013 |
| Event | 13th Dutch-Belgian Information Retrieval Workshop, DIR 2013 - Delft, Netherlands Duration: 26 Apr 2013 → 26 Apr 2013 Conference number: 13 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR |
| Volume | 986 |
| ISSN (Print) | 1613-0073 |
Workshop
| Workshop | 13th Dutch-Belgian Information Retrieval Workshop, DIR 2013 |
|---|---|
| Abbreviated title | DIR |
| Country/Territory | Netherlands |
| City | Delft |
| Period | 26/04/13 → 26/04/13 |
Keywords
- CR-H.3.1
- CR-H.3.3
- Question answering
- MapReduce
- Information extraction
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