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  1. Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval (ESAIR '11)
  2. People search using NDC classification system
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What to do when one size does not fit all?
Using virtual documents to move information retrieval and knowledge management closer together
Annotating software documentation in semantic wikis
Toward a model of interaction for complex search tasks
The relation between author mood and affect to sentiment in text and text genre
Context seeking with social tags
People search using NDC classification system
Extracting semantic annotations from twitter
Does word sense disambiguation improve information retrieval?
Annotating attribution relations and their features
Exploiting user knowledge during retrieval of semantically annotated API operations
Semantic-ART: a framework for semantic annotation of regulatory text
Semantic role labeling for structured information extraction
An experimental study on syntactic and semantic annotations in text retrieval

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People search using NDC classification system

Content Provider ACM Digital Library
Author Murakami, Harumi Ura, Yoshinobu
Abstract To help users select and understand people during searches for them, we present a method of assigning Nippon Decimal Classification (NDC), which is a system of library classification numbers, to people on the Web. By assigning NDC numbers to people, we can assign not only labels to people but also build a NDC-based people directory. We developed a prototype based on this approach.
Starting Page 13
Ending Page 14
Page Count 2
File Format PDF
ISBN 9781450309585
DOI 10.1145/2064713.2064722
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-10-28
Publisher Place New York
Access Restriction Subscribed
Subject Keyword People search directory Web people search Relative index Ndc
Content Type Text
Resource Type Article
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