2,153
edits
| Line 81: | Line 81: | ||
= Semantic =  | = Semantic =  | ||
Adding meaning through relationships.  | * Computers are not very good at understanding human language  | ||
* Adding meaning through relationships.  | |||
* Triples - expressing relationships  | * Triples - expressing relationships  | ||
| Line 87: | Line 89: | ||
* David lives in Montreal.  | * David lives in Montreal.  | ||
** David:   | ** David: subject  | ||
** Lives in: predicate  | ** Lives in: predicate  | ||
** Montreal: object  | ** Montreal: object  | ||
** Subject, predicate, object have their own relationships.  | |||
* Montreal is a city.  | * Montreal is a city.  | ||
* A city is a place.  | * A city is a place.  | ||
*   | * Montreal is the English word for Montréal.  | ||
**  What are the names for the place where the St Lawrence and Ottawa rivers meet ?  | |||
== Web of data ==  | == Web of data ==  | ||
| Line 111: | Line 117: | ||
** Properties - birth date, birth place, current location, height  | ** Properties - birth date, birth place, current location, height  | ||
** Inference  | ** Inference  | ||
*** If a person (class)   | *** If a person (class) was born in Canada, they speak English or French  | ||
**** Guessiness  | |||
* Usefully and easily combine different data sources - data network effects  | * Usefully and easily combine different data sources - data network effects  | ||
** Recipe from one site, ingredients from another  | ** Recipe from one site, ingredients from another  | ||