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Title: Logics for Data and Knowledge Representation


1
Logics for Data and KnowledgeRepresentation
  • Exercise 3 DLs

2
Outline
  • Modeling
  • Previous Logics
  • DL
  • RelBAC
  • OWL
  • Comprehensive

3
Modeling Procedure
  • Abstraction of the world to a mental model
  • Clarify the domain of interest
  • Clarify the relations
  • Choose/build a logic
  • Build the theory of the mental model with the
    logic
  • Reason about the theory

4
What distincts DL from Previous Logics?
  • PL
  • Logical constructors
  • Interpretations
  • ClassL
  • Logical constructors
  • Interpretations
  • Ground ClassL
  • Individuals
  • DL
  • All?

5
Summary of Previous Logics We Mentioned
PL ClassL Ground ClassL DL
Syn. Np Nc Nc, Ni Nc, Ni, Nr
? ? ? ?
? ? ? ?
? ? ? ?
? ? ? ?
? ? ? ?
? ? ? ?
?
Set Set
Fill Fill
??

Sem. ?true, false ?e1, ?e1, ?e1,
6
Expressiveness of DL
  • Binary Relations?
  • YES!
  • Subsumption?
  • Of course!
  • More than concept subsumption!
  • Arbitrary!
  • Else?
  • Some
  • Only
  • Number

7
Description Logics
  • Propositional DL VS. ClassL
  • DL VS. Ground ClassL
  • Role Constructors
  • ?
  • ?
  • ???

In addition to concept constructors
8
DL Modeling
  • Model the following NL sentences with DLs.
  • Children with only a single parent and no
    siblings
  • Child?1hasParent?1hasparent??hasSibling.?
  • Friends that likes foreign movies but only
    Disney cartoons
  • Friend??like.(Movie?Foreign)??like.(Cartoon?Disne
    y)
  • A binary tree is a tree with at most two
    sub-trees that are themselves binary trees.
  • BTreeTree?2hasSubTree.BTree
  • The monkeys that can grasp the banana are those
    that have climbed onto the box at position of the
    banana
  • Monkey??get.Banana??hasClimbedOnto.(Box??atPositi
    onOf.Banana)

9
DL Reasoning TBox
  • Prove the following tautology
  • (C?D)C?D ?R.C?R.C
  • Venn Diagrams
  • Concepts
  • Universal, Arbitrary non-empty set, Empty set
  • Relations
  • Intersection, union, disjoint
  • Tableaux
  • An algorithm to verify satisfiability.
  • Rules
  • and/or/some/only

10
(C?D)C?D
C
D
11
?R.C?R.C
  • (?R.C)I
  • ?-x ?y R(x,y)?C(y)
  • x(?y R(x,y)?C(y) )
  • x?y (R(x,y)?C(y) )
  • x?y (R(x,y)?C(y) )
  • x?y R(x,y)?C(y) )
  • (?R.C)I

12
DL Reasoning ABox (1)
  • Given the interpretation I with the domain
    ?Id,e,f,g
  • d,e,f?A B(f) R(d,e) R(e,g)
  • S(g,d) S(g,g) S(e,f)
  • In which A,B are concept and R,S are roles.
  • Please find the instances of the ALC-concept C as
  • A?B
  • ?S.A
  • ?S.A
  • ?S.?S.?S.?S.A
  • ?T.A??T.A

13
DL Reasoning ABox (2)
  • Let an ABox A consists of the following
    assertions
  • Likes(Bob, Ann) Likes(Bob, Cate)
  • Neighbor(Ann, Cate) Neighbor(Cate, David)
  • Blond(Ann) Blond(David)
  • where Neighbor is a symmetric and transitive
    role.
  • Does A have a model?
  • Is Bob an instance of the following concepts in
    all models of A?
  • ?Likes.(Blond??Neighbor.Blond)
  • ?Likes.(?Neighbor.(?Neighbor.Blond))

14
Exercise on Tableaux
  • The tableaux is an algorithm to check
    satisfiability.
  • If all branches of your tableaux are open, then?
  • You cannot say it is valid! Why?
  • OWA!
  • If all branches of your tableaux are closed,
    then?
  • You can say it is unsatisfiable
  • What can we do with tableaux?
  • To prove the satisfiability of a concept.

15
Tableaux cont.
  • Rules
  • ?
  • ?
  • ?
  • ?
  • Exercises
  • Are these subsumptions valid?
  • ?R.A??R.B??R.(A?B) ?R.A??R.B??R.(A?B)
  • Decide whether the following subsumption holds
  • ?R.A??R.C?T?R.D
  • with TC (?R.B)?A, D(?R.A)??R.(?R.B)

16
RelBAC Domain Specific DLs
  • Syntax
  • Nc subject groups, object types
  • Ni individual subjects, individual objects
  • Nr permissions
  • DL constructors and formation rules
  • Semantics
  • Hierarchy
  • Permission assignment
  • Ground assignment
  • Chinese Wall
  • SoD
  • High Level SoD
  • Queries

Policies
Properties
17
RelBAC Modeling
  • The LDKR course consists of
  • For persons Prof. Giunchiglia and TA Zhang as
    lecturers, Student Tin, Hoa, Parorali, Sartori,
    Chen, Gao, Lu, Zhang
  • For online materials syllabus, slides for
    lectures, references, exercises and keys, exam
    questions, results and marks.
  • We know that,
  • Slides can be updated only by professors or TA
  • Students can download all materials but only
    update keys to exercises.
  • Each student should upload exam result to the
    site that TA can read and check for propose marks
    which will be finally decided by professor(s).

18
LDKR Modeling Answer
Download
Upload
Update
Update
19
Chinese Wall Property
  • Chinese Wall (CW)
  • Originally no one has any access to anything
    then some requests are accepted and someone is
    allowed to perform some operation on something
    from then on, those has been allowed to access
    should not be allowed to access on those things
    arousing conflict of interests.
  • Conflict of Interests (COI)
  • Resources in COI should be avoided access for
    disclosure of information about competing
    parties.

COI
COI
20
Modeling of the Chinese Wall Property
  • Given a COI A1, , An, if one can access Ai,
    then s/he should not be allowed to access the
    rest.
  • Suppose for Ai, the permission is Pi, then
  • ?1iltjn ?Pi.Ai??Pj.Aj??

21
SoD
  • Separation of Duties
  • Intuition
  • Definition
  • Semantic Details
  • MEP
  • MEO
  • FA
  • IFA

22
Mutually Exclusive Positions
  • A position is an organizational role denoting a
    group of subjects such as employees, managers,
    CEOs, etc. Given a set of positions P P1, ,
    Pn, where each Pi is a concept name
  • To enforce that a subject can be assigned to at
    most one position among P.
  • To enforce that no subject can be assigned to all
    the positions in P.
  • To enforce that a subject can be assigned to at
    most m positions among P.

23
Exercise of MEP
  • In a bank scenario, customers sign checks bank
    clerks cash out the checks and managers monitor
    the checks.
  • MEP one can play at most one of the positions
    as customer, clerk and manager.

24
Exercise of MEP cont.
  • MEP no one can play more all of the positions
    as customer, clerk and manager.
  • MEP one can play at most 1 of the positions as
    customer, clerk and manager.

25
Mutually Exclusive Operations
  • An operation is a kind of permission that
    subjects may be allowed to perform some act on
    objects, such as Read, Download, etc. Given a set
    of operations giving rise to a MEO, OP Op1, ,
    Opn (where each Opi is a DL role name), then, we
    distinguish two different kinds of MEO
  • To enforce that a subject cannot perform any two
    operations in OP.
  • To enforce that a subject cannot perform any two
    operations in OP on the same object.

26
Exercise of MEO
  • Suppose a common file repository scenario files
    are objects, users are clients that visit the
    repository and permissions are read or write.
  • MEO one cannot read and write at the same
    time.
  • MEO one cannot read and write at the same time
    on the same file.
  • Notice the difference between the two MEOs.

27
Functional Access and Inverse
  • FA A permission is functional iff it connects at
    most one object in the range.
  • If each user in U, has an FA, P, to an object in
    O, then
  • IFA A permission is inverse functional iff it
    connects at most one subject in the domain.
  • If each object in O, has and IFA, P-, from a user
    in U, then

28
Exercise of FA and IFA
  • Give a scenario where FA and IFA are necessary.
  • Desktop usage in lab.
  • Bank private manager/clerk service

29
OWL
  • OWL Lite originally intended to support those
    users primarily needing a classification
    hierarchy and simple constraints.
  • OWL DL to provide the maximum expressiveness
    possible while retaining computational
    completeness, decidability and the availability
    of practical reasoning algorithms.
  • OWL Full designed to preserve some compatibility
    with RDF Schema.

Syntax Semantics Expressiveness Computability
OWL Lite simple DL subset Hierarchy, simple constraints Efficient
OWL DL SHIO(D) DL Maximum possible expressiveness Exist
OWL RDF RDF Compatible with RDF Non
30
Exercise of OWL
  • Refer to document specification
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