Difference between revisions of "Applying SWRL, DL Query and SPARQL to your ontology"
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{{Lecture | {{Lecture | ||
|Course=UNIK4710, UNIK9710, | |Course=UNIK4710, UNIK9710, | ||
| − | |Title=Applying SWRL to your ontology | + | |Title=Applying SWRL, DL Query or SPARQL to your ontology |
| − | |Lecture date= | + | |Lecture date=2014/04/23 |
|time=09:15h | |time=09:15h | ||
| − | |Lecturer=Josef | + | |Lecturer=Josef Noll, |
| − | |Objective=Representing your scenario into a set of rules, and converting the rules to SWRL rules | + | |Objective=Representing your scenario into a set of rules, and converting the rules to SPARQL queries or SWRL rules |
| − | |Learning outcomes=Having visited the | + | |Learning outcomes=Having visited the lecture, you will |
| − | + | * Have understood the principle of using SWRL (Protege 3.x) or Query (Protege 4.x) | |
| − | * Have | + | * Have learned how to apply a SPARQL query |
* Have learned how to create a SWRL rule | * Have learned how to create a SWRL rule | ||
|Pensum (read before)=Formulate a set of rules in a linguistic way | |Pensum (read before)=Formulate a set of rules in a linguistic way | ||
* Understand and explain the components of a SWRL rule | * Understand and explain the components of a SWRL rule | ||
| − | * Run example | + | * Run example |
| − | + | ||
| − | + | ||
| − | + | ||
|References (further info)=References: | |References (further info)=References: | ||
* OWL and Rules: http://semantic-web-book.org/w/images/5/5e/KI09-OWL-Rules-2.pdf | * OWL and Rules: http://semantic-web-book.org/w/images/5/5e/KI09-OWL-Rules-2.pdf | ||
| Line 22: | Line 19: | ||
* SWRL Tutorial: http://protege.cim3.net/cgi-bin/wiki.pl?SQWRL | * SWRL Tutorial: http://protege.cim3.net/cgi-bin/wiki.pl?SQWRL | ||
* Book: See 2012/02/17 and 2012/03/09 "Other Info". | * Book: See 2012/02/17 and 2012/03/09 "Other Info". | ||
| − | |Keywords=SWRL, RulesML, OWL-DL, Jess | + | |Keywords=SWRL, RulesML, OWL-DL, Jess, DL Tab, SPARQL, |
}} | }} | ||
= Test yourself, answer these questions = | = Test yourself, answer these questions = | ||
| Line 31: | Line 28: | ||
Try to understand the examples. | Try to understand the examples. | ||
| − | = | + | = Expected progress so far = |
| − | * Discussion on short-term (decisions) versus long-term (knowledge-creation) | + | * 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" | * 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 = | ||
| + | == 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== | == Lecture notes 2013== | ||
* Notes: [[Media:UNIK4710-L7-v13.pdf]], [[Media:UNIK4710-L7-v13-part2.pdf]] | * Notes: [[Media:UNIK4710-L7-v13.pdf]], [[Media:UNIK4710-L7-v13-part2.pdf]] | ||
| Line 41: | Line 55: | ||
== Lecture notes 2012== | == Lecture notes 2012== | ||
* Notes: [[Media:UNIK4710-L7-v12.pdf]] | * Notes: [[Media:UNIK4710-L7-v12.pdf]] | ||
| − | + | ||
= Presentations = | = Presentations = | ||
Latest revision as of 19:00, 18 January 2015
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Applying SWRL, DL Query and SPARQL to your ontology
| Course | UNIK4710, UNIK9710 |
|---|---|
| Title | Applying SWRL, DL Query or SPARQL to your ontology |
| Lecture date | 2014/04/23 09:15h |
| presented | by Josef Noll |
| 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
|
| Pensum (read before) | Formulate a set of rules in a linguistic way
|
| References (further info) | References:
|
| 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 :
