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...

Full description

Bibliographic Details
Main Authors: Ooi, Beng Chin, Yu, Bei, Li, Guoliang
Format: Article
Language:English
Published: 2007
Subjects:
Online Access:http://hdl.handle.net/1721.1/35777
_version_ 1826194883842408448
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