Name
Abstract | ||
|---|---|---|
We present in this paper some experiments on the Wikipedia collection used in the INEX 2009 evaluation campaign with an information retrieval method based on proximity. The idea of the method is to assign to each position in the document a fuzzy proximity value depending on its closeness to the surrounding keywords. These proximity values can then be summed on any range of text - including any passage or any element - and after normalization this sum is used as the relevance score for the extent. To take into account the semantic tags, we define a contextual operator which allow to consider at query time only the occurrences of terms that appear in a given semantic context. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-14556-8_6 | INEX |
Keywords | Field | DocType |
wikipedia collection,semantic tag,semantic tag information,semantic context,relevance score,contextual operator,fuzzy proximity value,evaluation campaign,information retrieval method,query time,proximity value,information retrieval | Conjunctive query,Normalization (statistics),Information retrieval,Closeness,Computer science,Fuzzy logic,Semantic context,Semantic HTML,Operator (computer programming) | Conference |
Volume | ISSN | ISBN |
6203 | 0302-9743 | 3-642-14555-8 |
Citations | PageRank | References |
2 | 0.37 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michel Beigbeder | 1 | 72 | 23.49 |
| Amélie Imafouo | 2 | 3 | 3.13 |
| Annabelle Mercier | 3 | 41 | 8.72 |