Applying SWRL, DL Query and SPARQL to your ontology
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Applying SWRL, DL Query and SPARQL to your ontology
Course | UNIK4710, UNIK9710 |
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Title | Applying SWRL, DL Query or SPARQL to your ontology |
Lecture date | 2014/04/04 09:15h |
presented | by Josef Noll, Andreas Thuen |
Objective | Representing your scenario into a set of rules, and converting the rules to SPARQL queries or SWRL rules |
Learning outcomes | Having visited the lecture, you will
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Pensum (read before) | Formulate a set of rules in a linguistic way
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References (further info) | References:
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Keywords | SWRL, RulesML, OWL-DL, Jess, DL Tab, SPARQL |
this page was created by Special:FormEdit/Lecture, and can be edited by Special:FormEdit/Lecture/Applying SWRL, DL Query and SPARQL to your ontology.
Test yourself, answer these questions
- Read Chapter 6 (Other Info)
- Read OWL and Rules: http://semantic-web-book.org/w/images/5/5e/KI09-OWL-Rules-2.pdf
Try to understand the examples.
Expected progress so far
- Establish a scenario described by use case - done
- Have a verbal expression of queries - done
- Have taken a decision to work with
- Protégé 3.5 with SWRL or SQWRL or
- Protégé 4.3 with DL Query og SPARQL
Working on
- Apply SWRL or SPARQL to your ontologies
- Discussion on short-term (decisions) versus long-term (knowledge-creation). Typical time frames for knowledge-update are 1/hour or 1/day, whereas decisions are taken about 10/min or 1/min (see slide 3-5 in Media:UNIK4710-L10-v14.pdf)
- Discussion on "history" of decisions, to be taken into consideration through "weighted context"
Upcoming
- Interfaces to programmes (APIs) to work with your knowledge base. Typical APIs are OWL, Protege, Jena and SPARQL
- Programming your scenario
- Presentation of your integrated solution
Lecture notes
Lecture notes 2014
- Notes: Media:UNIK4710-L10-v14.pdf
- Video: mms://lux.unik.no/UNIK4710-JN/2014/UNIK-20140404.wmv
- Presentation from Andreas: https://docs.google.com/file/d/0Bym8iViXFpvkMGwyaTE2Z0ZXeXM/edit?hl=en-GB&forcehl=1
Lecture notes 2013
- Notes: Media:UNIK4710-L7-v13.pdf, Media:UNIK4710-L7-v13-part2.pdf
- Video: Not available.
Lecture notes 2012
- Notes: Media:UNIK4710-L7-v12.pdf
Presentations
Presentations 2012
- Susana to present her scenario: Media:Context-Aware_Susana_Social_Tourism.pdf
Other info
- Book (Ontologies & Rules): Media:UNIK4710_Chapter_6.pdf
SWRL examples
- Is the person running?
Person(?person) ∧ hasSpeed(?person, ?speed) ∧ swrlb:greaterThanOrEqual(?speed, 10) → hasStatus(?person, running)
- Is Susana walking?
Person(Susana) ∧ hasSpeed(Susana, ?speed) ∧ swrlb:greaterThanOrEqual(?speed, 1) → hasStatus(Susana, walking)
- which songs the person likes
Person(?person) ∧ hasPreference(?person, ?prefer) ∧ Music(?music) ∧ hasStyle(?music, ?prefer) → like(?person, ?music)
- LowRisk state range for the persons who have a passive action and a heart rate between 81 – 120
Person(?p) ∧ LowRiskState(?n) ∧ Passive(?y) ∧ hasAction(?x, ?y) ∧ hasHeartRateOf(?x, ?z)∧ swrlb:greatherThanOrEqual(?z, 81) ∧ swrlb:lessThanOrEqual(?z, 120) → hasHealthCondition(?x, ?n)
Ontology examples
- OWL ontologies Code :