@inproceedings{9b3884c490a74ec3bfea31d0102c6d4d,
title = "Utilization of bio-ontologies for enhancing patent information retrieval",
abstract = "The ability to access existing patents and patent-related information can have significant impacts on technology development and commercial markets. While such information is now available online, requesting the information about a specific technology remains a nontrivial task. The reason is that the online information often resides in different storage sources, is based on different modeling paradigms, and is managed by different independent entities. Ontology is one modeling paradigm that can capture semantically rich knowledge about a specific domain and its existing patents. That knowledge can be used to facilitate information sharing and information interoperability. This paper focuses on the bio-medical domain, where numerous patents have been filed in recent years. Specifically, this paper describes a computational framework that can facilitate the retrieval of intellectual property (IP-) related information in the biomedical domain.",
keywords = "Bio-Portal, Information Retrieval, Knowledge Base, Ontology, Patent",
author = "Siddarth Taduri and Law, {Kincho H.} and Kesan, {Jay P.} and Sriram, {Ram D.}",
note = "Funding Information: This research was partially supported by the Information Technology Laboratory at National Institute of Standards and Technology, Award# 60NANB11D129, to Stanford University. Certain commercial systems are identified in this paper. Such identification does not imply endorsement or recommendation by NIST; nor does it imply that the products identified are necessarily the best available for the purpose. Further, any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of NIST, other U.S. government or corporate organizations. Publisher Copyright: {\textcopyright} 2019 IEEE; 43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 ; Conference date: 15-07-2019 Through 19-07-2019",
year = "2019",
month = jul,
doi = "10.1109/COMPSAC.2019.10189",
language = "English (US)",
series = "Proceedings - International Computer Software and Applications Conference",
publisher = "IEEE Computer Society",
pages = "91--96",
editor = "Vladimir Getov and Jean-Luc Gaudiot and Nariyoshi Yamai and Stelvio Cimato and Morris Chang and Yuuichi Teranishi and Ji-Jiang Yang and Leong, {Hong Va} and Hossian Shahriar and Michiharu Takemoto and Dave Towey and Hiroki Takakura and Atilla Elci and Susumu Takeuchi and Satish Puri",
booktitle = "Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019",
}