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Navigation in Object Graphs

Navigation in Object Graphs. Mitch Wand and Karl Lieberherr. Searching for Reachable Objects. Task: Given an object o1 of class c1 in an object graph, find all objects of type c2 that are reachable from o1.

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Navigation in Object Graphs

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  1. Navigation in Object Graphs Mitch Wand and Karl Lieberherr

  2. Searching for Reachable Objects • Task: Given an object o1 of class c1 in an object graph, find all objects of type c2 that are reachable from o1. • Assumptions: we know the class structure that describes the object graph, but we know nothing else about the object graph except the class of the current object.

  3. Classes and Objects: Basic Notations e c1 c2 Class c1 has a part e of type c2 c1 c2 Class c1 inherits from class c2 o1:c1 c1 Object o1 is of class c1 o1:c1 c1 c2 Object o1 is of type c2 (i.e., its class is a subclass of c2) e o1: o2: Object o1 has a part e which is object o2

  4. Finding the first step for the search C1 C2 ObjectGraph-object o2: o1:C1 o4: o3: Which arrows might lead to an object of type C2? Strategy: from C1 to C2

  5. Relations between Classes e C1 C2 e(C1,C2) C1 C2 C(C1,C2) (that is, e(C1,C2) for some e) C1 C2 C1 <= C2 o1:C1 C1 Class(o1) = C1 o1:C1 C1 C2 Object o1 is of type C2: Class(o1) <= C2

  6. Relations between Objects e o1: o2: e(o1,o2) o1: o2: O(o1,o2) (that is, e(o1,o2) for some e)

  7. Operations on Relations • R.S = {(x,z) | exists y s.t. R(x,y) and S(y,z)} • R* = reflexive, transitive closure of R

  8. Possible edges in the object graph e C1 C2 e(o1, o2) implies class(o1) (<= .e .=> ) class(o2) in the class graph “up, over, and down” O(o1, o2) implies class(o1) (<= .C .=> ) class(o2) in the class graph e o1: o2:

  9. Which edges to follow to C2? C2 • From o1 of class C1, follow edge e iff there is some object graph O and some o2, o3 s.t. • e(o1,o2), • O*(o2,o3), and • class(o3) <= C2 C1 o1:C1 * o3: o2: e The existential quantifier “there is some object graph” represents our lack of knowledge about the rest of the object graph

  10. from Basket to Orange Example f Fruit Basket Orange class graph v Vegetable Apple premature termination f a1:Apple f b1:Basket b1:Basket v object graph v1:Vegetable object graph slice

  11. from Basket to Orange mapping: o1 b1 o2 a1 o3 a1 e f Example f Fruit Basket Orange class graph v Vegetable Apple f a1:Orange b1:Basket object graph v v1:Vegetable

  12. Lack of Knowledge • Objects of a given class may be very different. • We want to go down edges without looking ahead! • We don’t want to go down edges that are guaranteed to be unsuccessful (never reaching a target object).

  13. Object graph conforms to class graph • The object graph O must follow the rules of the class graph: the object graph cannot contain more information than the class graph allows. For all edges e(o1,o2) in the object graph: e(o1, o2) implies class(o1) (<= .e .=> ) class(o2) in the class graph

  14. From dynamic to static characterization • From o1 of class c1, follow edge e iff there is some object graph O and some o2, o3 s.t. • e(o1,o2), • O*(o2,o3), and • class(o3) <= c2 • From o1 of class c1, follow edge e iff there are classes c’, c’’ s.t. • c1 <=.e.=> c’ • c’ (<=.C.=>)* c’’ and • c’’ <= c2 Let c’ be class(o2), c’’ be class(o3)

  15. from c1 to c2 Relational Formulation From object o of class c1, to get to c2, follow edges in the set POSS(c1,c2,o)={e | c1 <=.e.=> (<=.C.=>)* <= c2 } Can easily compute these sets for every c1, c2 via transitive-closure algorithms. POSS = abbreviation for: following these edges it is still possible to reach a c2-object for some c1-object rooted at o.

  16. Generalizations • More complex strategies • “from c1 through c2 to c3” • Use “waypoint navigation”; get to a c2 object, then search for a c3 object. • More complex strategy graphs also doable in this framework

  17. Extra Slides

  18. Example A z Strategy S -> T x X1 Y1 Z1 y S X2 Y2 Z2 T t X3 Y3 Z3 x y z t s1:S x31:X3 y31:Y3 z31:Z3 t1:T go down x iff S <=.x. =>(<=.C.=>)*<=) T

  19. Example A z Strategy S -> T x X1 Y1 Z1 y S X2 Y2 Z2 T t X3 Y3 Z3 x y z t s1:S x31:X3 y31:Y3 z31:Z3 t1:T <=,=> not used go down x iff S <=.x. =>.(<=.C.=>)*.<=) T

  20. Example A z Strategy S -> T x X1 Y1 Z1 y S X2 Y2 Z2 T t X3 Y3 Z3 x y z t s1:S x31:X3 y31:Y3 z31:Z3 t1:T <=,=> not used go down x iff S <=.x. =>.(<=.C.=><=.C.=><=.C=>).<=) T

  21. class dictionary strategy A = [“x” X] [“r” R]. B = [“b” B] D. R = S. S = [“t” T] C C = D. X = B. T = R. D = . Example B A -> T T -> D 0..1 POSS(c1,c2,o)={e | c1 e.C* c2 } X 0..1 B D A C 0..1 :D :C R S T :A 0..1 class graph object graph “r” :R :S

  22. class dictionary strategy A = [“x” X] [“r” R]. B = [“b” B] D. R = S. S = [“t” T] C C = D. X = B. T = R. D = . Example B1 A -> T T -> D POSS(A,T,a1) = 1 edge POSS(R,T,r1) = 1 edge POSS(S,T,s1) = 0 edges 0..1 X 0..1 B D A C 0..1 :D :C R S T a1:A 0..1 class graph object graph “r” r1:R s1:S POSS(c1,c2,o)={e | c1 e.C* c2 }

  23. class dictionary strategy A = [“x” X] [“r” R]. B = [“b” B] D. R = S. S = [“t” T] C C = D. X = B. T = R. D = . Example B1 A -> T T -> D POSS(A,T,a1) = 1 edge POSS(R,T,r1) = 1 edge POSS(S,T,s1) = 0 edges 0..1 X 0..1 B D A C 0..1 object graph slice :D :C R S T a1:A 0..1 class graph object graph “r” r1:R s1:S POSS(c1,c2,o)={e | c1 e.C* c2 }

  24. strategy POSS(A,T,a1) = 1 edge POSS(R,T,r1) = 1 edge POSS(S,T,s1) = 1 edge POSS(T,D,t1) = 1 edge POSS(R,D,r2) = 1 edge Example B2 A -> T T -> D object graph slice a1:A 0..1 :D r1:R X 0..1 B c1:C s1:S D A C s2:S t1:T 0..1 object graph “r t” r2:R R S T 0..1 c2:C class graph d2:D POSS(c1,c2,o)={e | c1 e.C* c2 }

  25. Only node paths shown for space reasons Example C strategy SG: {A -> B B -> C} Object graph Strategy s t :A A B C x1:X class graph S e1:Empty :R R A x2:X Empty B x c x c1:C X b OG : A X R X C OG’: A X B X C SG : A B C c2:C BOpt c c3:C C

  26. Only node paths shown for space reasons Example C1 strategy SG: {A -> S S -> C} Object graph early termination Strategy s t :A A S C x1:X class graph S e1:Empty :R R A x2:X Empty B x c x c1:C X b OG : A X R X OG’: A X B X SG : A B CG : A X Bopt B X c2:C BOpt c c3:C C

  27. S = from BusRoute through Bus to Person Example D busStops BusRoute BusStopList buses 0..* NGasPowered BusStop BusList waiting 0..* passengers Bus PersonList Person 0..* DieselPowered

  28. OG : BR BL DP PL P OG’: BR BL B PL P S : BR B P Example D1 Only node paths shown for space reasons BusList Route1:BusRoute buses busStops :BusStopList Bus15:DieselPowered passengers CentralSquare:BusStop waiting :PersonList :PersonList Joan:Person Paul:Person Seema:Person Eric:Person S = from BusRoute through Bus to Person

  29. OG : BR BL OG’: BR BL S : BR Example D2 Only node paths shown for space reasons early termination BusList Route1:BusRoute buses busStops :BusStopList Bus15:DieselPowered passengers CentralSquare:BusStop waiting :PersonList :PersonList Joan:Person Paul:Person Seema:Person Eric:Person S = from BusRoute via NGasPoweredto Person

  30. from c1 bypassing {x1,x2, … ,xn} to c2 Relational Formulation From object o of class c1, to get to c2, follow edges in the set POSS(c1,c2,o)={e | c1 <=.e.=> (<=.C.=>)* <= c2 } POSS = abbreviation for: following these edges it is still possible to reach a c2-object for some c1-object rooted at o. Delete x1,x2, … ,xn and all edges incident with these nodes from the class graph (assumed to be different from c1, c2).

  31. S = from BusRoute bybassing Bus to Person Example D busStops BusRoute BusStopList buses 0..* NGasPowered BusStop BusList waiting 0..* passengers Bus PersonList Person 0..* DieselPowered

  32. S = from BusRoute bybassing Bus to Person Example D busStops BusRoute BusStopList buses 0..* NGasPowered BusStop BusList waiting PersonList Person 0..* DieselPowered

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