Name
Title | ||
|---|---|---|
Concept-based semantic annotation, indexing and retrieval of office-like document units |
Abstract | ||
|---|---|---|
The paper presents an ontology-driven approach to semantic annotation, indexing and retrieval of fine-grained units of document data. In this approach, the document units and the user query are both represented by weighted vectors of ontological concepts. To determine the relevance of the document units to given query, we measure the similarity between their concept vectors. Results of the preliminary evaluation conducted with a prototype implementation are promising. We present brief analysis of these results.
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Year | Venue | Keywords |
|---|---|---|
2010 | RIAO | fine-grained unit,document unit,preliminary evaluation,document data,ontological concept,office-like document unit,brief analysis,user query,concept-based semantic annotation,prototype implementation,ontology-driven approach,concept vector |
Field | DocType | ISBN |
Ontology,Information retrieval,Semantic annotation,Document clustering,Computer science,Image retrieval,Search engine indexing | Conference | 978-2-905450-09-8 |
Citations | PageRank | References |
5 | 0.53 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saša Nešić | 1 | 42 | 5.89 |
| Fabio Crestani | 2 | 2143 | 214.08 |
| Mehdi Jazayeri | 3 | 1280 | 176.00 |
| Dragan Gašević | 4 | 564 | 42.29 |