A search engine for Japanese academic papers

Ishita, Emi; Agata, Teru; Ikeuchi, Atsushi; Nozue, Michiko; Miyata, Yosuke; Ueda, Shuichi

doi:10.1145/1816123.1816189

Cited by 3 publications

(2 citation statements)

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“…10-fold cross-validation to automatically detect academic papers. The features were generated using hand-built rules and are similar to the features used in our previous work [3,4]. Table 1 shows the three types of features: structure, URL, and content.…”

Section: Test Collectionmentioning

confidence: 99%

“…CiteSeer X provides access to full text, but only for computer and information science papers [2]. We have developed and evaluated the "Aletheia" search engine for full text academic papers written in Japanese [3]. The system obtains PDF files on a broad range of topics and automatically detects Japanese academic papers using classifiers based on text and structure features [4,5].…”

Section: Introductionmentioning

confidence: 99%

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Detecting academic papers on the web

Ishita

Agata

Ikeuchi

et al. 2011

Proceedings of the 11th Annual International ACM/IEEE Joint Conference on Digital Libraries

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Our research goal is to develop a search engine for open access to academic papers. English and Japanese test sets were built for detection of academic papers from 20,000 PDF files in each language using five annotators. Six classifiers were trained using similar features for each language. We report F1 of 0.74 for English and 0.54 for Japanese and argue that similar features could easily be generated for other languages as well.

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Section: Test Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detecting academic papers on the web

Ishita

Agata

Ikeuchi

et al. 2011

Proceedings of the 11th Annual International ACM/IEEE Joint Conference on Digital Libraries

Self Cite

View full text Add to dashboard Cite

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An Architecture of an Academic Search Engine with Personalized Search Result Ranking Mechanism

Choochaiwattana

2016

Proceedings of the Fifth International Conference on Network, Communication and Computing

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Improving Domain Searches through Customized Search Engines

Chua

Chiang

2011

Intelligent, Adaptive and Reasoning Technologies

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Search engines are ubiquitous tools for seeking information from the Internet and, as such, have become an integral part of our information society. New search engines that combine ideas from separate search engines generally outperform the search engines from which they took ideas. Designers, however, may not be aware of the work of other search engine developers or such work may not be available in modules that can be incorporated into another search engine. This research presents an interoperability architecture for building customized search engines. Existing search engines are analyzed and decomposed into self-contained components that are classified into six categories. A prototype, called the Automated Software Development Environment for Information Retrieval, was developed to implement the interoperability architecture, and an assessment of its feasibility was carried out. The prototype resolves conflicts between components of separate search engines and demonstrates how design features across search engines can be integrated.

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A search engine for Japanese academic papers

Cited by 3 publications

References 1 publication

Detecting academic papers on the web

Detecting academic papers on the web

An Architecture of an Academic Search Engine with Personalized Search Result Ranking Mechanism

Improving Domain Searches through Customized Search Engines

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