Name
Abstract | ||
|---|---|---|
Semantic web approach seems interesting for supporting content mining of millions of patents accessible through the Web. In this paper, we describe our approach for generating semantic annotations on patents, by relying on the structure and on a semantic representation of patent documents. We use both the structure of the patent documents and their textual contents processed by Natural Language Processing (NLP) tools. This method, primarily aimed at helping biologists use patent information can be generalized to all kinds of domains or of structured documents. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/WI.2007.98 | Web Intelligence |
Keywords | Field | DocType |
structured document,patent information,semantic web approach,patent mining,semantic representation,semantic annotation,ontology-based semantic annotations,textual content,content mining,natural language processing,patent document,semantic web,owl,resource description framework,ontologies,search engines,ontology,information retrieval,data mining,merging | Ontology (information science),Data mining,Ontology,Information retrieval,Semantic Web Stack,Computer science,Semantic Web,Patent visualisation,Semantic computing,RDF,Patent mining | Conference |
ISSN | ISBN | Citations |
1021-8181 | 0-7695-3026-5 | 15 |
PageRank | References | Authors |
0.87 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nizar Ghoula | 1 | 16 | 3.60 |
| Khaled Khelif | 2 | 101 | 12.09 |
| Rose Dieng-Kuntz | 3 | 478 | 55.49 |