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A Novel Three-Way Merge Algorithm for HTML/XML Documents Using a Hidden Markov Model

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Intelligent Computing

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 283))

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Abstract

Ever since the advent of modern World Wide Web (WWW), collaborative editing of Web Pages at a programming level (via HTML/XML) has been identified as a major programming challenge. Yet surprisingly, relatively little effort has been put into the direction of developing sound algorithms and methodologies for meeting this challenge by automated means. In this paper a novel algorithmic approach to merging HTML/XML code documents is presented that is based on the “Three-way Merge” approach using Hidden Markov Models, the “line-of-code-per-line-of-code” comparison between the documents involved and the “Nested Parenthesis” principle. The algorithm can be easily extended to any level higher than the “Three-way Merge”, with, of course, its computational complexity increasing accordingly.

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Acknowledgment

The authors would like to thank editors and anonymous reviewers for their valuable and constructive suggestions on this paper.

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Authors and Affiliations

  1. School of Engineering and Sciences, Computer Science and Programming Department, Foundation College, Mitropoleos Street and Mnisikleous Campus, 105 56, Athens, Greece

    Nikolaos G. Bakaoukas

  2. University of Northampton, Faculty of Arts, Science and Technology, Waterside Campus, University Drive, Northampton, NN1 5PH, UK

    Anastasios G. Bakaoukas

Authors
  1. Nikolaos G. Bakaoukas
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  2. Anastasios G. Bakaoukas
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Corresponding author

Correspondence to Anastasios G. Bakaoukas .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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Bakaoukas, N.G., Bakaoukas, A.G. (2022). A Novel Three-Way Merge Algorithm for HTML/XML Documents Using a Hidden Markov Model. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-030-80119-9_3

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