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Related Experiment Videos

JChemTidy: a tool for converting chemical Web document collections to an XHTML representation.

G V Gkoutos1, P R Kenway, H S Rzepa

  • 1Department of Chemistry, Imperial College of Science, Technology and Medicine, London, SW7 2AY.

Journal of Chemical Information and Computer Sciences
|March 30, 2001
PubMed
Summary
This summary is machine-generated.

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A novel robot-based procedure converts HTML documents to XHTML, enhancing chemical content representation and document indexing. This method improves web accessibility and searchability for scientific information.

Area of Science:

  • Computer Science
  • Bioinformatics
  • Digital Libraries

Background:

  • Hyperlinked documents in HTML pose challenges for structured data representation.
  • Chemical content within web documents often uses non-standard embedding methods.
  • Effective indexing of scientific web content is crucial for information retrieval.

Purpose of the Study:

  • To develop a robot-based procedure for converting HTML to XHTML.
  • To standardize the representation of transcluded chemical content.
  • To enhance the indexability of document collections through added attributes.

Main Methods:

  • A web crawling robot traverses hyperlinked HTML documents.
  • Conversion to XML-compliant XHTML format is performed.

Related Experiment Videos

  • HTML and tags for chemical content are transformed to XHTML tags.
  • Additional metadata, including SMILES descriptors, are incorporated.

    • Main Results:

    • Successful conversion of HTML documents to well-formed XHTML.
    • Standardized representation of chemical content using tags.
    • Improved document indexing capabilities with added attributes like title and SMILES.
    • Conformance testing results for major web browsers are reported.

      • Conclusions:

      • The robot-based procedure offers an effective method for converting and enhancing web-based scientific documents.
      • The approach standardizes chemical content representation and improves searchability.
      • The findings contribute to better digital library management and information retrieval for chemical data.