Geospatial Information with Description Logics, OWL, and Rules
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1 Reasoning Web 2012 Summer School Geospatial Information with Description Logics, OWL, and Rules Presenter: Charalampos Nikolaou Dept. of Informatics and Telecommunications National and Kapodistrian University of Athens
2 Outline Geospatial information with description logics and OWL OWL reasoners with geospatial capabilities Geospatial information with SWRL rules 2
3 Geospatial information with DLs and OWL Three main approaches: 1. Use a DL as it is 2. Define a spatial DL (concrete domain approach) 3. Hybrid: OWL + Spatial ABox 3
4 Use a DL as it is 4
5 Use a DL as it is Use OWL-DL Regions are represented by concepts Points are represented by individuals RCC-8 relations among regions expressed by DL axioms Translation of PO(X, Y) as TBox X Y Z 1 Z 3 Z 2 ABox 5
6 Use a DL as it is Use OWL-DL Discussion Impractical when implemented in a reasoner [Stocker-Sirin, OWLED 09] Unnatural modeling? Can we generalize the approach? For example, can we define the concept of a dream house as one that is located inside a forest? How do we express disjunctions of RCC-8 relations (indefinite information)? 7
7 Define a spatial DL (concrete domain approach) 11
8 Concrete domains Reason about specific domains (real numbers, time intervals, spatial regions) Formalization of a concrete domain using a first-order theory From roles to features: associate an individual to a value from a concrete domain Notation: 12
9 Concrete domains Examples: Reals with order ( ) Domain: the set of real numbers Predicates: < interpreted by the less-than relation Allen s Interval Calculus Domain: the set of time intervals Predicates: Allen s basic interval relations (before, starts, etc.) and Boolean combinations of them RCC-8 Calculus Domain: the set of non-empty, regular closed subsets of Predicates: basic RCC-8 relations (EQ, PO, etc.) and Boolean combinations of them 13
10 Concrete domains TBox Concept equivalences/inclusions can include features and concrete domain predicates ABox Assertions can associate an individual to values from a concrete domain 14
11 Concrete domains Two state of the art approaches : with RCC-8 calculus as the concrete domain extension of model-theoretic semantics of ω-admissibility property tableau-based technique 15
12 Concrete domains Two state of the art approaches : with RCC-8 calculus as the concrete domain extension of model-theoretic semantics of ω-admissibility property tableau-based technique domain : DL-Lite with RCC-8 calculus as the concrete extension of model-theoretic semantics of DL-Lite FOL-rewritability for unions of conjunctive queries 16
13 An Example DreamHouse One that is located inside a pine forest and borders a lake 17
14 An Example DreamHouse One that is located inside a pine forest and borders a lake 18
15 An Example DreamHouse One that is located inside a pine forest and borders a lake 19
16 An Example DreamHouse One that is located inside a pine forest and borders a lake 20
17 An Example DreamHouse One that is located inside a pine forest and borders a lake 21
18 An Example (classification) ABox 22
19 An Example (classification) ABox Question: Is individual h a DreamHouse? 23
20 An Example (classification) ABox Question: Is individual h a DreamHouse? Answer: Yes. 24
21 An Example (classification) ABox Question: Is individual h a DreamHouse? Answer: Yes. Why? 25
22 An Example (classification) ABox 26
23 An Example (classification) ABox 27
24 An Example (classification) ABox 28
25 An Example (classification) ABox 29
26 Hybrid: OWL + Spatial ABox 30
27 Hybrid: OWL + Spatial ABox General architecture KB DL TBox ABox DL Reasoning 31
28 Hybrid: OWL + Spatial ABox General architecture KB DL TBox ABox DL Reasoning 32
29 Hybrid: OWL + Spatial ABox General architecture KB DL TBox ABox Spatial ABox DL Reasoning Spatial Reasoning 33
30 Hybrid: OWL + Spatial ABox 1. Grutter et al. 2. Reasoner RacerPro (DL/OWL + Spatial ABox) 3. Reasoner PelletSpatial (DL/OWL + Spatial ABox) 34
31 Hybrid: OWL + Spatial ABox [Grütter et al., ISWC 08] Domain Knowledge (TBox) Introduction of roles (e.g., partiallyoverlaps) for RCC relations (e.g., PO) spatiallyrelated: top role for topological relations Role inclusion axioms for RCC relations Assertions (ABox) Assertion of the connectswith relation, connectswith(a, b), between two regions (individuals) 35
32 Hybrid: OWL + Spatial ABox RCCBox [Grütter et al., ISWC 08] Definition of RCC relations based on the connectswith relation Axioms for composition tables of RCC Predicate C(x, y) corresponds to role connectswith(x, y) in ABox 36
33 Hybrid: OWL + Spatial ABox Application [Grütter et al., ISWC 08] 1. Input: a set of geometries (polygons in ) 2. Compute assertions of the form connectswith(a, b) 3. Update ABox with new spatial relations according to definitions in RCCBox 1. Should DC(a, b) be inferred in RCCBox, then 2. the role assertion disconnectedwith(a, b) is inserted in ABox 4. Check spatial consistency of ABox using path consistency on the RCC network constructed from the spatial role assertions of the ABox 38
34 The reasoner RacerPro Description Logic: Spatial Extension: the ABox is associated to a spatial representation layer (RCC substrate) RCC substrate: offers representation and querying facilities for RCC networks Features Representation of indefinite information: disjunctions of RCC relations can be used between two individuals Consistency checking of RCC networks [Möller et al.] [Wessel-Möller, JAPLL 09] Available from Querying of asserted and entailed RCC relations using the query language nrql 39
35 RacerPro: ABox Reasoning Spatial regions: a, b, and c Region a contains b (rcc-related a b ((:ntppi :tppi))) a bx Region a is disjoint with c (rcc-related a c (:dc)) a bx c 40
36 RacerPro: ABox Reasoning Spatial regions: a, b, and c Region a contains b (rcc-related a b ((:ntppi :tppi))) a bx Region a is disjoint with c (rcc-related a c (:dc)) a bx (?) Which regions are disjoint? c 41
37 RacerPro: ABox Reasoning Spatial regions: a, b, and c Region a contains b (rcc-related a b ((:ntppi :tppi))) a bx Region a is disjoint with c (rcc-related a c (:dc)) a bx?(retrieve (?x?y) (and (?x?y :dc))) c 42
38 RacerPro: ABox Reasoning Spatial regions: a, b, and c Region a contains b (rcc-related a b ((:ntppi :tppi))) a bx Region a is disjoint with c (rcc-related a c (:dc)) a bx?(retrieve (?x?y) (and (?x?y :dc))) c (a, c) and (c, b) 43
39 Dream House (definition) DreamHouse One that is located inside a pine forest and borders a lake 44
40 Dream House (definition) DreamHouse One that is located inside a pine forest and borders a lake (implies DreamHouse (and (all hasforest PineForest) (all haslake Lake))) 45
41 Dream House (definition) DreamHouse One that is located inside a pine forest and borders a lake? (implies DreamHouse (and (all hasforest PineForest) (all haslake Lake))) 46
42 Dream House (ABox reasoning) ABox 47
43 Dream House (ABox reasoning) ABox Question: What are the houses that are threatened? 48
44 Dream House (ABox reasoning) ABox Question: What are the houses that are threatened? Answer: House h. 49
45 Dream House (ABox reasoning) ABox Question: What are the houses that are threatened? Answer: House h. Why? 50
46 Dream House (ABox reasoning) 51
47 Dream House (ABox reasoning) NTPP 52
48 Dream House (ABox reasoning) EC NTPP 53
49 Dream House (ABox reasoning) EC NTPP NTPP 54
50 Dream House (ABox reasoning) EC NTPP NTPP Composition of edge (v h, v n ) and (v n, v f ) 55
51 Dream House (ABox reasoning) EC NTPP NTPP Composition of edge (v h, v n ) and (v n, v f ) 56
52 Dream House (ABox reasoning) EC NTPP PO, TPP, NTPP NTPP 57
53 Dream House (ABox reasoning) EC NTPP PO, TPP, NTPP NTPP 58
54 The reasoner PelletSpatial Description Logic: OWL 2 ( ) Spatial Extension: Separate ABox for spatial data [Stocker-Sirin, OWLED 09] Spatial ABox: Topological relations are managed as a basic RCC-8 network (a single relation between two nodes) Features Representation of definite information only Consistency checking of basic RCC-8 networks (path consistency) Querying of asserted and entailed basic RCC-8 relations using a subset of SPARQL (BGPs and operator AND) Available from 59
55 SWRL Rules 60
56 Geospatial information with SWRL rules [Batsakis et al., RuleML 11] Extension of OWL for the representation of qualitative and quantitative spatial information (SOWL) RCC-8 Directional relations (e.g., East, North-West), and Distance relations (e.g., 3Km away from Vienna ) 61
57 Geospatial information with SWRL rules Modeling Footprint [Batsakis et al., RuleML 11] Ymax Point Line Polyline MBR Ymin Xmax X Y Xmin Location Legend Reg2 WestOf Reg1 subclass property class instance datatype 3 DistanceReg1- Reg2 62
58 Geospatial information with SWRL rules [Batsakis et al., RuleML 11] Spatial assertions RCC-8 relations between two regions Directional relations between two regions Distance relations between two regions Geometry of regions (in subclasses of Footprint) 63
59 Geospatial information with SWRL rules Implementation of the previous framework using OWL 1. OWL 2 property axioms for expressing inverse, symmetry, and transitivity for spatial relations [Batsakis et al., RuleML 11] 64
60 Geospatial information with SWRL rules Implementation of the previous framework using OWL 1. OWL 2 property axioms for expressing inverse, symmetry, and transitivity for spatial relations 2. SWRL rules to encode composition of spatial relations [Batsakis et al., RuleML 11] compute the intersection of two sets of spatial relations check spatial consistency (using Pellet) 65
61 Geospatial information with SWRL rules Implementation of the previous framework using OWL 1. OWL 2 property axioms for expressing inverse, symmetry, and transitivity for spatial relations 2. SWRL rules to encode composition of spatial relations [Batsakis et al., RuleML 11] compute the intersection of two sets of spatial relations check spatial consistency (using Pellet) 66
62 Geospatial information with SWRL rules Implementation of the previous framework using OWL 1. OWL 2 property axioms for expressing inverse, symmetry, and transitivity for spatial relations 2. SWRL rules to encode composition of spatial relations denotes disjunction of relations DC and EC compute the intersection of two sets of spatial relations [Batsakis et al., RuleML 11] check spatial consistency (using Pellet) 67
63 Geospatial information with SWRL rules Implementation of the previous framework using OWL 1. OWL 2 property axioms for expressing inverse, symmetry, and transitivity for spatial relations 2. SWRL rules to encode composition of spatial relations denotes disjunction of relations DC and EC compute the intersection of two sets of spatial relations [Batsakis et al., RuleML 11] check spatial consistency (using Pellet) 68
64 Geospatial information with SWRL rules Implementation of the previous framework using OWL 1. OWL 2 property axioms for expressing inverse, symmetry, and transitivity for spatial relations 2. SWRL rules to encode composition of spatial relations denotes disjunction of relations DC and EC compute the intersection of two sets of spatial relations [Batsakis et al., RuleML 11] check spatial consistency (using Pellet) 69
65 Geospatial information with SWRL rules Implementation of the previous framework using OWL 1. OWL 2 property axioms for expressing inverse, symmetry, and transitivity for spatial relations 2. SWRL rules to encode composition of spatial relations denotes disjunction of relations DC and EC compute the intersection of two sets of spatial relations [Batsakis et al., RuleML 11] check spatial consistency (using Pellet) Current relation between regions x and y 70
66 Geospatial information with SWRL rules Implementation of the previous framework using OWL 1. OWL 2 property axioms for expressing inverse, symmetry, and transitivity for spatial relations 2. SWRL rules to encode composition of spatial relations denotes disjunction of relations DC and EC compute the intersection of two sets of spatial relations [Batsakis et al., RuleML 11] check spatial consistency (using Pellet) Current relation between regions x and y Composition of R j with R k 71
67 Geospatial information with SWRL rules Implementation of the previous framework using OWL 1. OWL 2 property axioms for expressing inverse, symmetry, and transitivity for spatial relations 2. SWRL rules to encode composition of spatial relations denotes disjunction of relations DC and EC compute the intersection of two sets of spatial relations [Batsakis et al., RuleML 11] check spatial consistency (using Pellet) New relation between x and y Composition of R j with R k Current relation between regions x and y 72
68 Geospatial information with SWRL rules [Batsakis et al., RuleML 11] Implementation of SOWL is available at 73
69 Conclusions We talked about Geospatial information with description logics and OWL OWL reasoners with geospatial capabilities Geospatial information with SWRL rules Next topic: conclusions, questions, discussion 75
70 Bibliography [Katz et al., OWLED 05] Yarden Katz, Bernardo Cuenca Grau: Representing Qualitative Spatial Information in OWL-DL. OWLED 2005 [Lutz-Milicic, JAR 07] Carsten Lutz, Maja Milicic: A Tableau Algorithm for Description Logics with Concrete Domains and General TBoxes. J. Autom. Reasoning (JAR) 38(1-3): (2007) [Özçep-Möller, DL 12] Özgür L. Özçep, Ralf Möller: Combining DL-Lite with Spatial Calculi for Feasible Geo-thematic Query Answering. Description Logics 2012 [Grütter et al., ISWC 08] Rolf Grütter, Thomas Scharrenbach, Bettina Bauer-Messmer: Improving an RCC-Derived Geospatial Approximation by OWL Axioms. International Semantic Web Conference 2008:
71 Bibliography [Wessel-Möller, JAPLL 09] Michael Wessel, Ralf Möller: Flexible software architectures for ontology-based information systems. J. Applied Logic (JAPLL) 7(1): (2009) [Stocker-Sirin, OWLED 09] Markus Stocker, Evren Sirin: PelletSpatial: A Hybrid RCC-8 and RDF/ OWL Reasoning and Query Engine. OWLED 2009 [Batsakis-Petrakis, RuleML 11] Sotiris Batsakis, Euripides G. M. Petrakis: SOWL: A Framework for Handling Spatio-temporal Information in OWL 2.0. RuleML Europe 2011:
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