ENhanced TAGging (EnTAG)

The HRU (Tudhope and Moon) collaborated in the ENhanced TAGging (EnTAG) project, funded under the JISC Repositories and Preservation Programme. The project was led by UKOLN and the main project website, with documentation, the final reports and list of publications and links to a live demonstrator developed at Glamorgan, is maintained at UKOLN.

EnTAg investigated the combination and comparison of controlled and folksonomy approaches to support resource discovery in repositories and digital collections. The project evaluated the combination of both approaches in the context of repositories and digital collections.

The aim was to investigate whether vocabulary control and the use of an established Knowledge Organization System (for EnTag, the Dewey Decimal Classification and ACM Computing Classificiation were employed in different demonstrators) can assist in moving free social tagging beyond personal bookmarking to aid resource discovery. The project demonstrated use of tagging in different environments and provided an interface that enables use of a traditional classification scheme to enhance free form tags.

Project partners
UKOLN, University of Bath (lead)
University of Glamorgan, Hypermedia Research Unit
Intute (MIMAS at The University of Manchester)
Science and Technology Facilities Council, The Rutherford Appleton Laboratory

Non-funded supporting partners are:
Royal School Library and Information Science, Denmark
Department of Information Studies, University College London
OCLC Office of Research, USA

Glamorgan’s role was to design and develop a demonstrator which operated in two modes: one allowing social tagging of an extract of Intute resources and the other mode additionally offering tagging suggestions from the Knowledge Organization System. This allowed a comparative evaluation of the two approaches.

A paper discussing results from EnTag was one of the nominations for best paper at JCDL 2009 – see Publications: (Golub K, Jones C, Matthews B, Puzon B, Nielsen M, Moon J, Tudhope D. 2009). This strand of work continued in the tagging suggestion web services developed for the PERTAINS project.

See the main project website demonstrator page for more details, or access the Demonstrator directly.

The Intute demonstrator includes accessing Dewey Decimal Classification (DDC). Different options for linking DDC to social tagging are provided. A search system for purposes of illustrating search scenarios is also designed, although the main output is the Enhanced Tagger.

The Intute demonstrator comprises three major interfaces: searching, simple tagging, and enhanced tagging. Once a person logs in, he/she arrives to the searching interface. The searching interface provides the following features:

1) Main Tag Cloud: a tag cloud with tags linked to documents to which they were assigned. It is an alphabetical list of all tags in the demonstrator, with different font sizes relative to popularity. Filter By drop-down menu on top offers the My Tags option which presents the current taggers’s tags only. By default everyone’s tags are shown (Everyone’s Tags).
2) Taggers: a cloud of names of taggers linked to documents they indexed.
3) A free-text search box, with an option to limit searching to tags, title and description fields.

The documents found are shown in the Results pane. They are automatically ranked according to the MySQL full-text natural language search. Title, description (from Intute) and existing tags are shown here. By clicking on the Title, the URL opens in a new window.

Once a document is selected from search results, clicking on the “Tag” button will return a tagging interface. Here title, URL, and description are displayed. Two tagging interfaces are provided: 1) the Simple Tagger, with tagging features common in popular social tagging applications; and 2) the Enhanced Tagger, with additional suggestions from the controlled vocabulary. (In the study the log-on screen provides the choice of the interfaces). Both tagging interfaces have the following options from which to select tags:

1) Main Tag Cloud.
2) Taggers: names of taggers linked to tags they have used, the latter listed in the All {Tagger Name}’s Tags pane; and,
3) My Tags For This Document.
By clicking on a selected tag, the tag will be shown in the text box. By pressing the Tag Document button the tag will be added to the document as well as listed in the “My Tags for This Document” pane. A tag can also be typed in.

Enhanced Tagger additionally provides suggestions from the controlled vocabulary, presented in three panes at the bottom of the screen. In the first pane to the left (“Automatically suggested matches, Find appropriate context(s)”), DDC classes are listed. They are automatically derived by a string-matching comparison of DDC vocabulary to a user-entered term from the text box above the panes upon clicking the Suggest button. Immediately after the user comes to the enhanced tagging page, initial suggestions are automatically generated by treating the document’s title as if it had been entered as a tag.

If the user clicks on one of the listed classes from the first pane, its narrower and broader classes are shown in the second pane (“Explore hierarchy around the selected context”), allowing interactive browsing of the hierarchical context. Simultaneously, in the third pane (“Select/edit relevant tags”) a tag-cloud-like list of DDC captions, DDC relative index terms and LCSH mapped terms is presented as a source of suggestions from which the user may select a tag. Selecting a tag copies it to the text box, where it can be further edited; pressing the Tag Document button adds the tag to the document.