Supporting Patent Mining by using Ontology-based Semantic Annotations

• Published in: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence pp. 435 - 438
• Main Authors: Ghoula, Nizar, Khelif, Khaled, Dieng-Kuntz, Rose
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 02.11.2007
• Series: ACM Conferences
• Subjects: Applied computing > Document management and text processing > Document capture > Document analysis; Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Semantic networks; Information systems > Information retrieval; Information systems > Information retrieval > Document representation; Information systems > Information retrieval > Information retrieval query processing; Information systems > Information retrieval > Retrieval models and ranking; Information systems > Information systems applications > Data mining; Information systems > World Wide Web > Web applications; Information systems > World Wide Web > Web services; patent mining; semantic web; ontology; Natural Language Processing; semantic annotations
• ISBN: 0769530265; 9780769530260
• DOI: 10.1109/WI.2007.98

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.