1. Presented by ebiqity group @ UMBC Nov, 2004
Swoogle ISWC 2004
Presented by ebiqity UMBC
Nov, 2004
Swoogle is a research project being carried out by the ebiquity research group in the CSEE Department at the University of Maryland Baltimore County. Partial research support was provided by DARPA contract F and by NSF by awards NSF-ITR-IIS and NSF-ITR-IDM

2. 1 2 3 4 5 6 7 8 Swoogle Demo (Nov, 2004, ISWC) Demo Plan About Swoogle
Swoogle is a metadata and search engine for the semantic web. It discovers, digests, and analyzes semantic web documents. It helps users to find, browse and use ontologies in the Semantic Web.
Find Ontologies
(Swoogle Search) 1
Digest Ontology
doc view
term view 2
Find Terms
(Ontology Dictionary) 3
Digest Term
Class Properties
Instance properties 4 5
Browse Term index
Swoogle Statistics
Swoogle Today
SWD per website 6
Go to swoogle website:
Find ontology:
Select “Documents” (it is selected by default)
Select “ontology only” (it is selected by default)
Type some keywords
Click search button
Note: we search ontologies by the lexemes (atom words, i.e. can not be split into to words, e.g. SeaFood has two lexemes: sea and food) of their vocabulary. All the keywords should be in some of the local names of the URI references of a searched ontology.
Figure 1. Swoogle architecture
Issues
Data Independence
Mismatch: namespace & ontology
Open ontology engineering env. 7
Ontology Rank
Swoogle’s top 10 8
Submit URL
Figure 2. Semantic Web Concepts

3. 1 Find Ontologies by keywords
Select “Documents” (it is selected by default)
Select “ontology only” (it is selected by default)
Type some keywords
Click search button
Search Semantics
The vocabulary of an ontology O is a set of local names of URI references used by O. We search for ontologies whose vocabulary contains all the keywords.
Keyword should be atomic, i.e. it can not be split, e.g. SeaFood contains two keywords: sea and food.

4. 2
Digest Ontology (Document view)

5. 2
Digest Ontology (Term view)

6. 3 Find Terms (Ontology Dictionary) Search Semantics Lowercased!
By default, we look for terms local name exactly matches the query keyword. More constraints can be specified with prefix.
Lowercased!

7. Digest Term “Person” 4

8. Term Metadata: An integrated definition4
A Term has two types of metadata
Class Properties: those properties that modifies/annotates a class/property and can not be inherited to subclasses.
(Instance) Properties: facets of a class, the properties used with instances.
(instance) property P of class C can be collected by:
ontologies. triples like (P rdfs:domain C)
Instances: triples like (_X rdf:type C) & (_X P _Y)
Class Definition
rdfs:subClassOf -- foaf:Agent
rdfs:label – “Person”
Properties (from SWO)
foaf:mbox
foaf:name
foaf:name
foaf:mbox
rdfs:domain
Onto 1
Properties (from SWI)
foaf:name
dc:title
foaf:name
rdf:type
“Tim Finin”
SWD3
owl:Class
rdf:type
“Person”
rdfs:label
foaf:Agent
rdfs:subClassOf
Onto 2
foaf:Person

9. 4
Digest Term “Person”

10. 5
Browse Term index

11. 6 Swoogle Statistics (Swoogle Today)
Swoogle Today summarizes the current status of Swoogle database

12. 6 Swoogle Statistics (Semantic Web Document per Website)
Google estimate shows the amount of URLs which are highly possible SWDs reported by google search.
However, google only return the first 1000 results.
This report is dynamically generated based on the latest data, and it will take 5 to 10 seconds.

13. 7
Swoogle’s Top 10 )
Swoogle use PageRank like algorithm to rank semantic web documents. Well-known ontologies are highly ranked.
This report is dynamically generated based on the latest data, and it will take 5 to 10 seconds.

14. 8 Submit your ontology to Swoogle
When you can’t find your ontologies in Swoogle, it may be the case that your ontologies are not indexed by swoogle yet.
Please submit it and increase its visibility.
When your query fails
From site map