Name
Title | ||
|---|---|---|
An evaluation of the incorporation of a semantic network into a multidimensional retrieval engine |
Abstract | ||
|---|---|---|
This paper describes a new method for incorporating a hierarchical category dimension into an Information Retrieval framework. The approach is to use the synonym sets and the hyponym ("is-a") relations defined within Wordnet in order to derive a conceptual hierarchical category dimension. The hierarchical nature of a category dimension not only provides an overview of a set of documents but also facilitates the effectiveness and the efficiency of searching documents. An evaluation is performed on two different types of models and the multidimensional approach shows a significant reduction in the number of page accesses over a large document collection. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1145/956863.956976 | CIKM |
Keywords | Field | DocType |
large document collection,conceptual hierarchical category dimension,information retrieval framework,semantic network,new method,multidimensional approach,hierarchical nature,multidimensional retrieval engine,different type,page access,hierarchical category dimension,category dimension,information retrieval | Data mining,Information retrieval,Computer science,Synonym,Semantic network,WordNet,Concept hierarchy | Conference |
ISBN | Citations | PageRank |
1-58113-723-0 | 1 | 0.36 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinho Lee | 1 | 536 | 47.15 |
| David Grossman | 2 | 525 | 34.73 |
| Ratko Orlandic | 3 | 116 | 23.50 |