Abstract
Most Web and legacy paper-based documents are available in human comprehensible text form, not readily accessible to or understood by computer programs. Here we investigate an approach to amalgamate XML technology with programming languages for representational purposes. Specifically, we propose a modular technique to embed machine-processable semantics into a text document with tabular data via annotations, and evaluate it vis a vis document querying, manipulation, and integration. The ultimate aim is to be able to author and extract, human-readable and machine-comprehensible parts of a document "hand in hand", and keep them "side by side". © Springer-Verlag 2004.
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CITATION STYLE
Thirunarayan, K. (2004). On embedding machine-processable semantics into documents. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3136, 368–373. https://doi.org/10.1007/978-3-540-27779-8_33
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