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Article
On Embedding Machine-Processable Semantics into Documents
IEEE Transactions on Knowledge and Data Engineering
  • Krishnaprasad Thirunarayan, Wright State University - Main Campus
Document Type
Article
Publication Date
7-1-2005
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 that can enhance traceability, thereby facilitating semiautomatic extraction and update. Specifically, we propose a modular technique to embed machine-processable semantics into a text document with tabular data via annotations, resulting sometimes in ill-formed XML fragments, and evaluate this technique 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.
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Posted with permission from IEEE.

DOI
10.1109/TKDE.2005.113
Citation Information
Krishnaprasad Thirunarayan. "On Embedding Machine-Processable Semantics into Documents" IEEE Transactions on Knowledge and Data Engineering Vol. 17 Iss. 7 (2005) p. 1014 - 1018 ISSN: 10414347
Available at: http://works.bepress.com/tk_prasad/55/