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To run a live demo, load the small individuals ontology (found here) into your prefered triple store that can run SNAP SPARQL queries. We tested the following queries using the Protege editor running the Pellet reasoner. A reasoner must be run for the queries to work, and Pellet is expected to take approximately 20 min.
These queries are meant to be run in SNAP SPARQL, and we used that tab in Protege. They can be run with normal SPARQL, but since that doesn’t use the reasoner’s inferences most of the queries will not return any results unless the inferences are made explicit.
Usage scenario covered: A large family consisting of 3 kids is looking for a dog.
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX owl: <http://www.w3.org/2002/07/owl#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX cmns-cls: <https://www.omg.org/spec/Commons/Classifiers/>
PREFIX cmns-rt: <https://www.omg.org/spec/Commons/Ratings/>
PREFIX oe2022-dogs: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet/>
SELECT ?label ?popularityQuantitativeScore ?childfriendlinesslevel ?exerciseneedslevel
WHERE { ?breed a oe2022-dogs:GoodForChildrenBreed;
rdfs:label ?label.
?char_profile a oe2022-dogs:BreedCharacteristicProfile;
cmns-cls:characterizes ?breed;
oe2022-dogs:displaysChildFriendlinessLevel ?childfriendlinesslevel;
oe2022-dogs:displaysExerciseNeedsLevel ?exerciseneedslevel.
?popularityRating a oe2022-dogs:BreedPopularityRating;
cmns-rt:rates ?breed;
cmns-rt:hasRatingScore ?ratingScore.
?ratingScore cmns-rt:hasMeasureWithinScale ?popularityQuantitativeScore.
}
ORDER BY ?popularityQuantitativeScore
Top 5 results shown
| label | popularityQuantitativeScore | childfriendlinesslevel | exerciseneedslevel |
|---|---|---|---|
| labrador retriever | 1.0 | 1.0 | 1.0 |
| golden retriever | 3.0 | 1.0 | 1.0 |
| german shepherd dog | 4.0 | 1.0 | 0.6 |
| great dane | 17.0 | 0.6 | 0.4 |
| pomeranian | 24.0 | 0.2 | 0.4 |
This query is specifically using the family in competancy question 1. It returns whether or not the breed is a good fit based on some of the potential characteristic of the family: since it’s a large family we use good with kids (inferred based on childfriendliness), and since there are multiple children the dog will need to have high activity level (inferred based on exercise level value).
Usage scenario covered: A group of 4 college students is looking to adopt a dog.
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX owl: <http://www.w3.org/2002/07/owl#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX cmns-cls: <https://www.omg.org/spec/Commons/Classifiers/>
PREFIX cmns-cols: <https://www.omg.org/spec/Commons/Collections/>
PREFIX cmns-rt: <https://www.omg.org/spec/Commons/Ratings/>
PREFIX cmns-pts: <https://www.omg.org/spec/Commons/PartiesAndSituations/>
PREFIX oe2022-dogs: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet/>
PREFIX oe2022-dogs-ind: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet-individuals/>
select ?breedLabel ?rating
where {
oe2022-dogs-ind:Question2Student a oe2022-dogs:Student ;
cmns-pts:playsRole ?adopter .
?adopter a oe2022-dogs:PotentialAdopter ;
oe2022-dogs:primarilyResidesAt ?residence .
?residence a oe2022-dogs:Residence ;
cmns-cols:comprises ?space .
?space a oe2022-dogs:ApartmentIndoorSpace .
?breed a oe2022-dogs:LowMaintenanceBreed ;
a oe2022-dogs:LowExpenseBreed ;
a oe2022-dogs:ApartmentFriendlyBreed ;
rdfs:label ?breedLabel .
?popularityRating a oe2022-dogs:BreedPopularityRating ;
cmns-rt:rates ?breed ;
cmns-rt:hasRatingScore ?ratingScore .
?ratingScore cmns-rt:hasMeasureWithinScale ?rating .
}
order by ?rating
| breedLabel | rating |
|---|---|
| japanese chin | 105.0 |
This query specifically uses the person in competancy question 2 and seeing which dogs are a good fit. It returns the dogs that are a good fit based on: apartment friendliness (based on size, barking value, and stranger friendliness value), ability to care for on a low budget (based on size, initial cost, and health susceptability values), and ability to care for on minimal time (based on mental stimulation needing value, exercise needing value, and grooming value). The query returns the japanese chin.
Usage scenario covered: A family with small kids are looking for a dog to help around their farm in Texas
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX owl: <http://www.w3.org/2002/07/owl#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX cmns-cls: <https://www.omg.org/spec/Commons/Classifiers/>
PREFIX cmns-cols: <https://www.omg.org/spec/Commons/Collections/>
PREFIX cmns-rt: <https://www.omg.org/spec/Commons/Ratings/>
PREFIX cmns-pts: <https://www.omg.org/spec/Commons/PartiesAndSituations/>
PREFIX prov: <http://www.w3.org/ns/prov#>
PREFIX oe2022-dogs: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet/>
PREFIX oe2022-dogs-ind: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet-individuals/>
select Distinct ?breedLabel ?barkingLevel ?barkingLevelSource ?rating
where {
oe2022-dogs-ind:Question3FarmOwner a oe2022-dogs:Person ;
cmns-pts:playsRole ?adopter .
?adopter a oe2022-dogs:PotentialAdopter ;
oe2022-dogs:primarilyResidesAt ?residence .
?residence a oe2022-dogs:Residence ;
cmns-cols:comprises ?space ;
oe2022-dogs:isLocatedIn ?state .
?space a oe2022-dogs:OutdoorSpace .
?state oe2022-dogs:hasClimateZone ?zone .
?zone oe2022-dogs:isHotterClimateZoneThan oe2022-dogs:ClimateZone5 .
?breed a oe2022-dogs:HotClimateAppropriateBreed ;
a oe2022-dogs:TrainableBreed ;
a oe2022-dogs:HighExerciseNeedingBreed ;
a oe2022-dogs:DogFriendlyBreed ;
a oe2022-dogs:CatFriendlyBreed ;
rdfs:label ?breedLabel .
?profile a oe2022-dogs:BreedCharacteristicProfile;
cmns-cls:characterizes ?breed;
prov:wasAttributedTo ?source ;
oe2022-dogs:displaysBarkingLevel ?barkingLevel .
?source rdfs:label ?barkingLevelSource .
?popularityRating a oe2022-dogs:BreedPopularityRating ;
cmns-rt:rates ?breed ;
cmns-rt:hasRatingScore ?ratingScore .
?ratingScore cmns-rt:hasMeasureWithinScale ?rating .
}
order by ?barkingLevel ?rating
| breedLabel | barkingLevel | barkingLevelSource | rating |
|---|---|---|---|
| australian cattle dog | 0.2 | The American Kennel Club | 51.0 |
| australian cattle dog | 0.8 | cattle dog VetStreet | 51.0 |
This query specifically uses the person in competancy question 3 and seeing which dogs are a good fit. It returns the dogs that are a good fit based on: the location (since the home is in Texas, a warm climate, the dog must be tollerant to heat), good with other animals (such as cats and dogs which are inferred based on dog/cat friendliness values), able to be trained to be a herder (based on trainability value), and its ability to do a lot of physical work (based on exercise needing value). The query returns 2 results, both for australian cattle dog. This is because barking is important for herding, but the AKC and VetStreet give different values for how loud the dog is.
Usage scenario covered: A large family consisting of 3 kids is looking for a dog; A family just came into a pet store looking to get a new dog
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX oe2022-dogs: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet/>
PREFIX oe2022-dogs-ind: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet-individuals/>
PREFIX cmns-col: <https://www.omg.org/spec/Commons/Collections/>
select ?breedLabel
where {
oe2022-dogs-ind:Question4Family a oe2022-dogs:FamilyWithSmallChildren ;
oe2022-dogs:ownsPet ?dog ;
oe2022-dogs:ownsPet ?cat .
?dog a oe2022-dogs:Dog .
?cat a oe2022-dogs:Cat .
oe2022-dogs-ind:Greyhound a oe2022-dogs:GoodForChildrenBreed ;
a oe2022-dogs:DogFriendlyBreed ;
a oe2022-dogs:CatFriendlyBreed ;
rdfs:label ?breedLabel .
}
| breedLabel |
|---|
Nothing is returned. This is expected behavior since a greyhound would not be a good fit for the family.
This query is specifically using the family in competancy question 4 and seeing if a greyhound is an appropriate dog for them. It returns whether or not the breed is a good fit based on some of the potential characteristic of the family: since it’s a large family we use good with kids (inferred based on playfullness and child safety values), good with other dogs (inferred based on dog friendliness value), and good with cats (inferred based on cat friendliness value). The query returns nothing, since a greyhound is not a good choice for this type of family.
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX oe2022-dogs: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet/>
PREFIX oe2022-dogs-ind: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet-individuals/>
select ?breedLabel
where {
oe2022-dogs-ind:Question4Family a oe2022-dogs:FamilyWithSmallChildren .
oe2022-dogs-ind:Greyhound a oe2022-dogs:GoodForChildrenBreed ;
rdfs:label ?breedLabel .
}
| breedLabel |
|---|
| greyhound |
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX oe2022-dogs: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet/>
PREFIX oe2022-dogs-ind: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet-individuals/>
select ?breedLabel
where {
oe2022-dogs-ind:Question4Family oe2022-dogs:ownsPet ?cat .
?cat a oe2022-dogs:Cat .
oe2022-dogs-ind:Greyhound a oe2022-dogs:CatFriendlyBreed ;
rdfs:label ?breedLabel .
}
| breedLabel |
|---|
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX oe2022-dogs: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet/>
PREFIX oe2022-dogs-ind: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet-individuals/>
select ?breedLabel
where {
oe2022-dogs-ind:Question4Family oe2022-dogs:ownsPet ?dog .
?dog a oe2022-dogs:Dog .
oe2022-dogs-ind:Greyhound a oe2022-dogs:DogFriendlyBreed ;
rdfs:label ?breedLabel .
}
| breedLabel |
|---|
| greyhound |
For additional details, each part of the query can be run individually. Due to the nature of SNAP SPARQL, ask queries must be written as select queries that return nothing if the result would be false. The first and third queries return the label since greyhound is a good for children breed and a dog friendly breed. The second does not return anything since greyhound is not a cat friendly breed.
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX owl: <http://www.w3.org/2002/07/owl#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX cmns-cls: <https://www.omg.org/spec/Commons/Classifiers/>
PREFIX cmns-rt: <https://www.omg.org/spec/Commons/Ratings/>
PREFIX oe2022-dogs: <https://tw.rpi.edu/ontology-engineering/oe2022/find-a-pet/>
SELECT ?label ?popularityQuantitativeScore ?barkinglevel ?strangerfriendlinesslevel ?sheddinglevel ?droolinglevel ?maxWeight
WHERE { ?breed a oe2022-dogs:ApartmentFriendlyBreed;
a oe2022-dogs:LowSheddingBreed;
a oe2022-dogs:LowDroolingBreed;
rdfs:label ?label.
?char_profile a oe2022-dogs:BreedCharacteristicProfile;
cmns-cls:characterizes ?breed;
oe2022-dogs:displaysDroolingLevel ?droolinglevel;
oe2022-dogs:displaysSheddingLevel ?sheddinglevel;
oe2022-dogs:displaysBarkingLevel ?barkinglevel;
oe2022-dogs:displaysStrangerFriendlinessLevel ?strangerfriendlinesslevel.
?phys_profile a oe2022-dogs:BreedPhysicalProfile;
cmns-cls:characterizes ?breed;
oe2022-dogs:hasMaxWeight ?maxWeight.
?popularityRating a oe2022-dogs:BreedPopularityRating;
cmns-rt:rates ?breed;
cmns-rt:hasRatingScore ?ratingScore.
?ratingScore cmns-rt:hasMeasureWithinScale ?popularityQuantitativeScore.
}
ORDER BY ?popularityQuantitativeScore ?barkinglevel DESC(?strangerfriendlinesslevel) ?sheddinglevel ?droolinglevel
| label | popularityQuantitativeScore | barkinglevel | strangerFriendliness | sheddinglevel | droolinglevel | maxWeight |
|---|---|---|---|---|---|---|
| poodle (standard) | 165.0 | 0.4 | 1.0 | 0.2 | 0.2 | 50.0 |
Query first requires apartment friendly characteristics (which will require a low barking, high stranger friendliness level, and a small or medium sized breed). It also requires that the dog have low shedding and drooling to account for the lack of cleaning in this apartment. It prioritizes our hard apartment constraints (barking and stranger friendliness) but ranks by popularity to account for the “cuteness” expectation.