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International Conference on Advanced Machine Learning Technologies and Applications

AMLTA 2021: Advanced Machine Learning Technologies and Applications pp 469–477Cite as

A Proposed Framework for Building Semantic Search Engine with Map-Reduce

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1339))

Abstract

Every daily moment, people share billion of information worldwide via the Internet, which makes in the other side large database stores for that web-based information. With the massive databases, Search Engines (SE) are increasing. They act as filters to allow users to find the information they are interested in easily and quickly. Semantic search engines try to understand what a user is asking in a query by placing it in context by analyzing the query’s terms and language. This analysis is conducted against tightly pre-compiled pools of knowledge, potentially including knowledge about the user. Most researchers did their best to convert such a Keyword-based search engine to a Semantic one, but without giving any attention to the increasing of the generated indices. This paper proposes a framework for building a semantic search engine using MapReduce for speeding up indexing and retrieving big ontological data.

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Author information

Authors and Affiliations

  1. Department of Computer and Information Systems, Sadat Academy, Alexandria, Egypt

    Abeer A. Amer

  2. MSc. Candidate of Computer and Information Systems, Sadat Academy, Cairo, Egypt

    Sarah S. Abulwafa

  3. Department of Computer and Information Systems, Sadat Academy, Cairo, Egypt

    Mohamed M. El-Hadi

Authors
  1. Abeer A. Amer
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  2. Sarah S. Abulwafa
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  3. Mohamed M. El-Hadi
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Corresponding author

Correspondence to Sarah S. Abulwafa .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Computer and Information Faculty, Giza, Egypt

    Aboul-Ella Hassanien

  2. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Kuo-Chi Chang

  3. International Center for Informatics Research, Beijing Jaiotong University, Beijing, China

    Tang Mincong

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Amer, A.A., Abulwafa, S.S., El-Hadi, M.M. (2021). A Proposed Framework for Building Semantic Search Engine with Map-Reduce. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_44

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