Knowledge Annotation and Discovery for Patent Analysis

Abstract

Nowadays, techniques of information retrieval and nature language processing have been gradually employed to achieve the task of patent processing. Therefore, employing these techniques advance the knowledge annotation and discovery for patent documents to be more accurate and convenient. This paper develops a patent retrieval system and aims at introducing new algorithms to provide high-precision patent analysis services, including the development of core techniques and the construction of domain knowledge. The syntactic and semantic analysis of patent documents also applies on patent document retrieval to provide advanced patent services. The achievement of this paper contains the following parts: 1) the online patent search, 2) the structure clustering of patents, 3) the patent summarization and 4) the patent trend tracking.