Transforming and Enriching Documents for the Semantic Web
人工智能
2007-05-23 v1
摘要
We suggest to employ techniques from Natural Language Processing (NLP) and Knowledge Representation (KR) to transform existing documents into documents amenable for the Semantic Web. Semantic Web documents have at least part of their semantics and pragmatics marked up explicitly in both a machine processable as well as human readable manner. XML and its related standards (XSLT, RDF, Topic Maps etc.) are the unifying platform for the tools and methodologies developed for different application scenarios.
引用
@article{arxiv.cs/0501096,
title = {Transforming and Enriching Documents for the Semantic Web},
author = {Dietmar Roesner and Manuela Kunze and Sylke Kroetzsch},
journal= {arXiv preprint arXiv:cs/0501096},
year = {2007}
}
备注
10 pages, 1 figure