Machine Tags

Slide 1: Machine Tags Dr. Harry Chen CMSC 491S/691S February 27, 2008 This work is licensed under the Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/us/

Slide 2: Agenda  What’s Machine Tags  Different ways to use Machine Tags  Deficiency of Machine Tags  Machine Tags implementation in gnizr

Slide 3: Traditional tags  This is how your “grandfather” uses tags

Slide 4: Tags are used for labeling

Slide 5: Tagging Model  Remember this diagram from our previous discussion? User Resources Tags

Slide 6: What else can you say about “photo-1293”? Resources Relates to a YouTube video Relates to a family trip (link?) (trip’s homepage?) Location Piccadilly Square (latitude/longitude?) John Smith is in this picture Johnny is the photographer (homepage?) (homepage?) Taken on 2007/12/03 @ 10:00PM

Slide 7: Describing and relating resources  The amount of user-generated content is growing on the Web (flickr, youtube, last.fm, upcoming, etc.).  New problem  How to describe “ad-hoc” properties about the resources that we have created  How to relate multiple resources that we have created across multiple Web sites What’s an “ad-hoc” property?

Slide 8: Machine Tags  Tags with a special syntax that allow users to describe “ad-hoc” properties and relate distinctive resources across multiple Web sites. + = http://www.flickr.com/groups/api/discuss/72157594497877875/

Slide 9: Triple Model  Machine Tag syntax is based on the Triple model, similar to which of the RDF language. Predicate (Property) Object Subject takenBy (Value) Johnny Photo-1923

Slide 10: Machine Tag Syntax  There is no one standard syntax. Different systems may have variations of the original syntax proposed by Flickr. [namespace] : [predicate] = [object] Predicate (Property) Object Subject (Value) Where is the “Subject” in the syntax?

Slide 11: Machine Tag example [namespace] : [predicate] = [object] foo : takenBy = “Johnny Smith” Predicate Resource Object foo:takenBy Photo-1923 Johnny Smith

Slide 12: Describing location information [namespace] : [predicate] = [object] geo:locality=“piccadilly square” Predicate Subject Object geo:locality Piccadilly Square Photo-1923

Slide 13: Relating resources  What if I want to say “photo-1923” relates to “event-1393” on upcoming.yahoo.com… Predicate Subject Object upcoming:event http://upcoming.yahoo.com/event/1393 Photo-1923 upcoming:event=1393

Slide 14: I machine-tagged, but what use?  Machine Tags can be used for  Geotagging: putting your photos on a map  Field-based search: search with prefix  URL shortcuts: include image and video in your blogs without much HTML editing  Semantic Web experiments: describe properties that link to RDF or OWL documents … What’s your experience with Machine Tags?

Slide 15: Interesting use of Machine Tags About the airplane What camera did u use?

Slide 16: Machine Tags for selling books http://learningtheworld.eu/2007/amazon-machine-tags/ http://adactio.com/journal/1274/ book:isbn=1234567890 amazon:asin=1234567890

Slide 17: Relating Flickr photos with a blog post Collective intelligence? http://adactio.com/journal/1274/

Slide 18: Machine Tag for field-based search  There are overlaps between the Machine Tag syntax and field-based search.  Benefit: learn one syntax and use it in two different ways

Slide 19: Machine Tag for building taxonomy?  Google Code allows administrator to define “Issue Labels”.

Slide 20: Relating resources to RDF/OWL Geonames.ORG http://sws.geonames.org/5352844/about.rdf http://www.geospatialsemanticweb.com/2007/03/28/geonames-machine-tags geonames:feature=5352844

Slide 21: Shortcomings of the Machine Tags  Lack of control vocabulary  Who says you should or should not use what tags?  Do you use “geonames:feature” or “gn:f=”  Difficult to express “object” of a complex value  geo:lat/lng=23.00,39.23 (ugly, parser is need)  geo:lat=23.00, geo:lng=39.23 (okay)  What if I want to express multiple coordinates: geo:lat=23,00, geo:lng=39.23, geo:lat=33.00, geo:lng=-30.00, ... (How do I interpret the key/value pairs?)  Difficult to describe certain semantic information  we will see an example.

Slide 22: Where is your kid? Tagged: - person=john - person=mary - person=david - landmark=power_station Who is John? Power Station?

Slide 23: Machine Tags in Gnizr  How “tags” are stored  What does gnizr do when a “machine tag” is detected  How to add new implementation to process new types of “machine tag”

Slide 24: DB Table: “tag” id tag count

Slide 25: BookmarkManager geonames:[location] GeonamesTagListener notify added deleted updated bookmark BookmarkManager for:[username] notify ForUserListener

Slide 26: GeonamesTagListener.java Get the latitude and longitude pair for [location] from Geonames.org. Find all “machine tags” of Add POINT(lng,lat) about a bookmark  gn:geonames=[location] to the DB.

Slide 27: Listen for new Machine Tags Extend from BookmarkListener Add new listeners to the BookmarkManager

Slide 28: Summary  Machine Tags are tags with a special syntax that allow users to describe “ad-hoc” properties and relate distinctive resources across multiple Web sites.  Use in geotagging, field-based search, foring URL shortcuts and experimenting with Semantic Web technology  Machine Tags have certain shortcomings in expressing rich semantic information.