Abstract
In vertical search engine research, many works have been reported. But most of them focus on its key issues such as crawling, extraction, and query and few of them give a total solution for building a complete vertical search engine from scratch in a systematic method. To address this issue, we propose a model-driven method and its supporting tool SESQ. Based on a user defined ER schema for a target domain, the tool can help to build a complete search engine by integrating tasks of crawling, extraction, data management and query within one unified framework.
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© 2008 Springer-Verlag Berlin Heidelberg
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Lin, L. et al. (2008). SESQ: A Model-Driven Method for Building Object Level Vertical Search Engines. In: Li, Q., Spaccapietra, S., Yu, E., Olivé, A. (eds) Conceptual Modeling - ER 2008. ER 2008. Lecture Notes in Computer Science, vol 5231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87877-3_39
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DOI: https://doi.org/10.1007/978-3-540-87877-3_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87876-6
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