Collaborative Data Publishing and Searching System
In this paper, we present a folksonomy-based collaborative data publishing and searching system. The system accepts data objects described with user-created metadata, called data units. The system supports flexible structure on the data units, and places no restrictions on the vocabulary used. We de...
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Format: | Article |
Language: | English |
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2007
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Online Access: | http://hdl.handle.net/1721.1/35777 |
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author | Ooi, Beng Chin Yu, Bei Li, Guoliang |
author_facet | Ooi, Beng Chin Yu, Bei Li, Guoliang |
author_sort | Ooi, Beng Chin |
collection | MIT |
description | In this paper, we present a folksonomy-based collaborative data publishing and searching system. The system accepts data objects described with user-created metadata, called data units. The system supports flexible structure on the data units, and places no restrictions on the vocabulary used. We devise a generic table model for storing and representing the data units of various structures. We propose a framework for managing the data units and providing browsing, searching and querying services over them. We present our current approaches and discuss relevant research issues. |
first_indexed | 2024-09-23T10:03:41Z |
format | Article |
id | mit-1721.1/35777 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T10:03:41Z |
publishDate | 2007 |
record_format | dspace |
spelling | mit-1721.1/357772019-04-12T08:35:06Z Collaborative Data Publishing and Searching System Ooi, Beng Chin Yu, Bei Li, Guoliang Folksonomy Tagging Clustering In this paper, we present a folksonomy-based collaborative data publishing and searching system. The system accepts data objects described with user-created metadata, called data units. The system supports flexible structure on the data units, and places no restrictions on the vocabulary used. We devise a generic table model for storing and representing the data units of various structures. We propose a framework for managing the data units and providing browsing, searching and querying services over them. We present our current approaches and discuss relevant research issues. Singapore-MIT Alliance (SMA) 2007-01-23T19:22:30Z 2007-01-23T19:22:30Z 2007-01 Article http://hdl.handle.net/1721.1/35777 en Computer Science (CS) 289727 bytes application/pdf application/pdf |
spellingShingle | Folksonomy Tagging Clustering Ooi, Beng Chin Yu, Bei Li, Guoliang Collaborative Data Publishing and Searching System |
title | Collaborative Data Publishing and Searching System |
title_full | Collaborative Data Publishing and Searching System |
title_fullStr | Collaborative Data Publishing and Searching System |
title_full_unstemmed | Collaborative Data Publishing and Searching System |
title_short | Collaborative Data Publishing and Searching System |
title_sort | collaborative data publishing and searching system |
topic | Folksonomy Tagging Clustering |
url | http://hdl.handle.net/1721.1/35777 |
work_keys_str_mv | AT ooibengchin collaborativedatapublishingandsearchingsystem AT yubei collaborativedatapublishingandsearchingsystem AT liguoliang collaborativedatapublishingandsearchingsystem |