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» On Embedding Machine-Processable Semantics into Documents
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NLDB
2004
Springer
13 years 10 months ago
On Embedding Machine-Processable Semantics into Documents
—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 ...
Krishnaprasad Thirunarayan
SIGDOC
2004
ACM
13 years 10 months ago
Semantic thumbnails: a novel method for summarizing document collections
The concept of thumbnails is common in image representation. A thumbnail is a highly compressed version of an image that provides a small, yet complete visual representation to th...
Arijit Sengupta, Mehmet M. Dalkilic, James C. Cost...
ACMICEC
2006
ACM
141views ECommerce» more  ACMICEC 2006»
13 years 11 months ago
From HTML documents to web tables and rules
We present a browser-extending Semantic Web extraction system that maps HTML documents to tables and, where possible, to rules. First, the basic data extractor ViPER distills and ...
Kai Simon, Georg Lausen, Harold Boley
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
14 years 5 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
CN
1999
143views more  CN 1999»
13 years 5 months ago
Embedding Knowledge in Web Documents
The paper argues for the use of general and intuitive knowledge representation languages (and simpler notational variants, e.g. subsets of natural languages) for indexing the cont...
Philippe Martin, Peter W. Eklund