Introducing SWRL rules in the semantic web as a way to make serendipitous inference on linked open data.

1. Using Rules to find Serendipitous Connections
Diana Bental, Rob Stewart & Jamie Forth
SerenA team
27th June, 2012
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 1 / 11

2. The Semantic Web
Terminology
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 2 / 11

3. SerenA
Rule-based systems
Rules:
Used to store and manipulate knowledge.
Interpret information in useful ways.
Have a history of use in artificial intelligence applications and
research.
We can use rules to identify or create new connections between
different things
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 3 / 11

4. Reasoning with RDF
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 4 / 11

5. Example of simple connection
Data from the user model
@prefix : <http://www.serena.ac.uk/ontologies/serena#> .
@prefix dblp: <http://dblp.l3s.de/d2r/page/authors/> .
@prefix dblpconf: <http://dblp.l3s.de/d2r/page/conferences/> .
:Diana a :SerenAUser ;
:hasBDLPIdentifier dblp:Diana_Bental ;
:hasInstitution :HeriotWatt ;
:hasInterest
:UserModeling , :SemanticWeb , :Explanation , :Prolog .
:hasGoalToAttend
dblpconf:SemanticWebConference , dblpconf:sipi2012 ;
:hasGoalToFIndOut :MedicalInformatics ;
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 5 / 11

6. Example of simple connection
Rule 1
If someone intends to attend an event that is held in a place, then
that person intends to visit the place.
Person(?x) ∧ hasGoalToAttend(?x ?event)
∧ hasLocation(?event ?place) (1)
→ hasGoalToVist(?x ?place)
. . . so Diana intends to visit Aberdeen
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 6 / 11

7. Example of simple connection
Rule 2
People are (usually) based where the institution they work for is
based
Person(?x) ∧ hasInsitution(?x ?inst)
∧ hasLocation(?inst ?place) (2)
→ hasBaseLocation(?x ?place)
. . . so Diana is based in Edinburgh; Derek, Graeme and Judith are
based in Aberdeen
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 7 / 11

8. Example of simple connection
Rule 3
Identify a potentially interesting person to meet
Person(?x) ∧ hasGoalToVisit(?x ?place)
∧ hasGoalToFindOut(?x ?topic)
∧ Person(?y ) ∧ hasExpertise(?x ?topic) (3)
∧ hasBaseLocation(?y ?place)
→ hasGoalToMeet(?x ?y )
. . . so Diana now has a (potential) goal to meet Derek.
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 8 / 11

9. Model with inferred RDF
@prefix : <http://www.serena.ac.uk/ontologies/serena#> .
@prefix dblp: <http://dblp.l3s.de/d2r/page/authors/> .
@prefix dblpconf: <http://dblp.l3s.de/d2r/page/conferences/> .
@prefix dbpedia: <http:debedia.org/resource> .
:Diana a :SerenAUser ;
:hasBDLPIdentifier dblp:Diana_Bental ;
:hasInstitution dbpedia:HeriotWatt ;
:hasBaseLocation dbpedia:Edinburgh ;
:hasInterest
:UserModeling , :SemanticWeb , :Explanation , :Prolog .
:hasGoalToAttend
dbplconf:SemanticWebConference , dblpconf:SIPI2012 ;
:hasGoalToFIndOut :MedicalInformatics ;
:hasGoalToVisit dbpedia:Boston , dbpedia:Aberdeen ;
:hasGoalToMeet :Derek ;
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 9 / 11

10. How would we like to connect?
Which data?
What kinds of rules?
How to discover the valuable information?
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 10 / 11

11. SerenA Project
Thanks for coming!
Stuff we didn’t have time for
Embedding RDFa
http://goo.gl/Wor8I
http://chasingserendipity-estw.eventbrite.com
Semantic annotation of plain text
http://dbpedia-spotlight.github.com/demo/
Our website and newsletter
http://www.serena.ac.uk
Twitter
@i_serena
@robstewartUK
Using Rules to find Serendipitous Connections Diana Bental, Rob Stewart & Jamie Forth 11 / 11