Title :
Search Engine Focused on Multiple Features of Scientific Articles
Author :
Sakai, Toshihiko ; Flanagan, Brendan ; Zeng, Jun ; Nakatoh, Tetsuya ; Hirokawa, Sachio
Author_Institution :
Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
Abstract :
When starting new research or summarizing the results of research, it is necessary to review related work in the same research field. The research review requires several point of views such as ``problem´´, ``method´´, ``result´´. Simple search by keywords is not effective to specify and narrow-down the scope of search for these meta purpose. In this paper, we focus on sentences to improve the efficiency of research survey with multiple viewpoints. We developed a search engine for scientific articles which classifies sentences by multiple viewpoints.
Keywords :
classification; natural sciences computing; search engines; support vector machines; SVM; method; problem; research review; result; scientific articles; search engine; sentence classification; support vector machine; Abstracts; Educational institutions; Indexes; Machine learning; Patents; Search engines; Support vector machines; Feature Words; SVM; Scientific Articles Search Engine;
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2012 IIAI International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-2719-0
DOI :
10.1109/IIAI-AAI.2012.51
