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Another Face of Search Engine: Web Search API’s

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5027))

Abstract

Since search engine development requires building an index which is a tedious and space consuming process. Now-a-days all major search engines provide developers access to their resources through a set of APIs. In this paper we try to answer the following questions. What differences exist between search engines and their associated search APIs? Does search APIs really surrogate for the actual search engine within the research domain? If yes, then which APIs is more suitable? For our experiments, we have used the following search engines and their web search APIs: Yahoo, Google, MSN, and Naver. Our experimental results will help researchers to choose appropriate web search APIs that suit their requirements.

This research was partly supported by the Ministry of Information and Communication, Korea, under the College Information Technology Research Center Support Program, grant number IITA-2006-C1090-0603-0031 and by the K-net project under the EU Seventh Frame Programme, grant number FP7-215584.

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Ngoc Thanh Nguyen Leszek Borzemski Adam Grzech Moonis Ali

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© 2008 Springer-Verlag Berlin Heidelberg

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Kumar, H., Kang, S. (2008). Another Face of Search Engine: Web Search API’s. In: Nguyen, N.T., Borzemski, L., Grzech, A., Ali, M. (eds) New Frontiers in Applied Artificial Intelligence. IEA/AIE 2008. Lecture Notes in Computer Science(), vol 5027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69052-8_33

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  • DOI: https://doi.org/10.1007/978-3-540-69052-8_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69045-0

  • Online ISBN: 978-3-540-69052-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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