Trend Analysis In Social Tagging An Lis Perspective Ecdl2007 (Tin180 Com)
1. Trend Analysis in Social Tagging: An LIS Perspective Ali Shiri Assistant Professor School of Library and Information Studies University of Alberta Edmonton, Alberta, Canada 6th European Networked Knowledge Organization Systems (NKOS) Workshop, 11th ECDL Conference, Budapest, Hungary September 21, 2007
2.
3. Social tagging Social bookmarking Social classification Social annotation Social networking Social tags Folksonomies Collaborative tagging Ethnoclassification Free tagging Collaborative classification 6th European Networked Knowledge Organization Systems (NKOS) Workshop, 11th ECDL Conference, Budapest, Hungary September 21, 2007
4. Social Tagging Environment 6th European Networked Knowledge Organization Systems (NKOS) Workshop, 11th ECDL Conference, Budapest, Hungary September 21, 2007 Photo sharing Slide sharing Videoblogging and sharing Social networks Academic bookmarking Bookmarking
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
Notes de l'éditeur
It emerged in popular practice ca. 2003, at the same time as social networking Web sites, and constitutes an important part of the interactive, democratic nature of Web 2.0 in that it places the responsibility for the classification of Web resources squarely in the hands of users
Blip.tv podcasting and videoblogging site Shadows is a bookmarking Simpy tagging and social bookmarking Bubbleshare : photos Blinklist: bookmarking Diigo: social annotation Taggly: social bookmarking Slide: photos
Searching media-specific sites and services images, videos, slides etc. DeliSearch uses Yahoo Search API. Users can then search over just the bookmarked pages or the domains they reside on. Integration: This is a trend that is becoming prominent that web applications integrate folksonomies within their applications commercial and academic sites Music discovery: combining social networking with a high-tech music recommendation system, MyStrands—installs software on the PCs of its members that keeps track of the music they buy and listen to via iTunes or Windows Media Player. Then, that data is compared to the playlists of other members, and when patterns emerge, MyStrands recommends songs members might like. Specific social groups: flickr, mySpace and Facebook for families; museums, libraries and career-minded people such as salespersons, human resource workers Educators are beginning to explore Web 2.0 technologies to facilitate online and distance education. (Shank, 2006), for example, discusses the “collaborative tools teachers can use to facilitate online learning, focusing on blogs, social bookmarking and podcasting Interoperability in this context may have different implications: systems interoperability, semantic interoperability or organizational; also user generated vs. librarians’ generated metadata and any automatic indexing Automatic Expertise tagging and how we can take advantage of folksonmoies to detect and tag various interests and expertise
How people search social networks; Jon Kleinberg looks at how an employee in a large company searches his or her network of colleagues for expertise in a particular subject … or a user in a distributed IR or federated search setting traverses a network of distributed resources connected by links that may not just be informational but also economic or contractual KM: “some intra- and inter-community communications and exchanges, utilization of the tacit ‘community knowledge’ for the welfare of the larger society Hidden social network: Tang and Yang the social roles that people take in the online community affect the regulation and their perception in participating in the “design” of their community How user use non subject tags, regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given URL. collaborative tagging users exhibit a great variety in their sets of tags; some users have many tags, and others have few .(Delicious) How grammar or the semantic study of tags can Affective aspect of social tagging: for instance terms such as cool, toread, fun to show their emotion Philosophical analysis of the semantic web and social tagging systems : focusing on information organization frameworks and functions such as controlled vocabularies, social tags and boundary infrastructures there is little overlap among tags, automated indexing terms, and controlled vocabularies (this depands on what types of social tagging systems, academic or entertainment; our data suggest that tags are more similar to automatic indexing than to controlled vocabulary indexing,
Search behaviour of specific user populations (academics, students, professionals, the elderly, children, youth, etc.) This suggests that social tagging and folksonomies are still in their infancy, both as practices and as subjects of scholarly examination and debate. The work of Gottlieb & Dilevko (2003), which examined the bookmarking habits of persons in the financial services industry, might be one of the important antecedents of such research.
Search behaviour research methodologies can be applied to the academic study of social tagging and folksonomies. Browsing vs. searching : interaction models developed by Saracevic, Ingwersen, Belkin., Bates, Kulthau and Ellis can be extended to study various social tagging systems and users’ interaction with them -- Facetag: how the flat keywords space of user-generated tags can be effectively mixed with a richer faceted classification Electronic search services such as OPACs, digital libraries, content management systems, library portals and virtual learning environments The issues that we have been struggling for decades in the area of terminology interoperability will have a place in the social tagging research landscape Relevace of tags or content
The choice of facets in the FaceTag system is based on the CRG (Classification Research Group) theory