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.
| Original language | American English |
|---|---|
| Pages (from-to) | 1014 - 1018 |
| Journal | IEEE Transactions on Knowledge and Data Engineering |
| Volume | 17 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2005 |
Keywords
- Index Terms-Structured data and knowledge representation
- XML-based programming language
- Semantic Web
Disciplines
- Databases and Information Systems
- OS and Networks
- Science and Technology Studies
- Cataloging and Metadata