Semantic and Topological Patent Graphs: Analysis of Retrieval and Community Structure
MetadataShow full item record
© 2018 IEEE. Classification systems are a common way to organize knowledge. The Cooperative Patent Classification (CPC) is a hierarchical patent classification system which intends to uniformly assign at least a single class to every document. The classification system is often successfully used as a filtering mechanism to improve patent retrieval performance. Semantic information on the other hand frequently fails to do this or only helps marginally. In this work, we build two graphs to address this: a semantic graph out of the full textual content of the patents and a topological graph out of the classification system. The semantic graph is then compared against the topological graph. This provides a basis on when semantic retrieval techniques can be useful in patent retrieval. In this work, we further visualize search result graphs and their communities to represent classification information before search result filtering.
Showing items related by title, author, creator and subject.
Dong, Hai (2010)With the emergence of the Web and its pervasive intrusion on individuals, organizations, businesses etc., people now realize that they are living in a digital environment analogous to the ecological ecosystem. Consequently, ...
Abu Salih, Bilal ; Wongthongtham, P.; Zhu, Dengya; Chan, Kit Yan; Rudra, AmitThis book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized ...
Pearce, Adrian (1996)Spatial interpretation involves the intelligent processing of images for learning, planning and visualisation. This involves building systems which learn to recognise patterns from the content of unconstrained data such ...