Name
Abstract | ||
|---|---|---|
In this paper, we investigate challenges related to the adaptation of similarity measures used in the field of Information Retrieval to work with semantic features, i.e. Named Entities. The challenges to consider are numerous, including the accuracy of the annotation process, the adapted similarity measures, the quality of the Linked Data referred to, and the efficient access to the Semantic Web. We discuss each challenge in detail, as well as possible ways to tackle them. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2663712.2666194 | ESAIR |
Keywords | Field | DocType |
content analysis and indexing,semantic similarity,similarity measures,semantic web,information search and retrieval | Semantic similarity,Annotation,Information retrieval,Computer science,Similarity heuristic,Semantic Web,Linked data,Named entity,Social Semantic Web,Semantic computing | Conference |
Citations | PageRank | References |
6 | 0.48 | 20 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tom de Nies | 1 | 127 | 17.70 |
| Christian Beecks | 2 | 431 | 39.14 |
| Wesley De Neve | 3 | 525 | 54.41 |
| Thomas Seidl | 4 | 3515 | 544.45 |
| Erik Mannens | 5 | 671 | 99.58 |
| Rik Van de Walle | 6 | 2040 | 238.28 |