Efficient extraction of ontologies from domain specific text corpora

Abstract

There is a huge body of domain-specific knowledge embedded in free-text repositories such as engineering documents, instruction manuals, medical references and legal files.Extracting ontological relationships (e.g., ISA and HASA) from this kind of I also want to thank the NSERC BIN funding for supporting me on this ontology extraction research project, it gives a great opportunity to learn more about my research area and sharpen my technical skills.Finally, I would like thank my mom, who always supports me from China, which is 9,000 km away from here, and gets me through all good times and bad times.viii

Assessing sparse information extraction using semantic contexts

“…We want to create large, open domain knowledgebases or taxonomies, whose scale or coverage is especially important to the applications built on top of them. Because manually constructed taxonomies cannot reach sufficient scale and coverage, much recent work [13,4,17,16,20] uses data driven approaches to automatically acquire taxonomies from a large corpus such as the World Wide Web. Take Probase [1,20] as an example.…”