The International RuleML Symposium on Rule Interchange and Applications Orlando, Florida: October 30-31, 2008 Orlando, Florida A RuleML Study on Integrating.

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Presentation transcript:

The International RuleML Symposium on Rule Interchange and Applications Orlando, Florida: October 30-31, 2008 Orlando, Florida A RuleML Study on Integrating Geographical and Health Information S. Gao, D. Mioc, H. Boley, F. Anton, X. Yi

The International RuleML Symposium on Rule Interchange and Applications 2 Outline Introduction Objective Methodology Implementation and Result Conclusion

The International RuleML Symposium on Rule Interchange and Applications 3 Introduction Semantic Web improves machine understanding of Web-based information Ontologies and rules in Semantic Web Given the growing number of diseases, health information integration and retrieval becomes very important Appropriate systems are needed to query and map health information for eliminating the impact of disease outbreaks

The International RuleML Symposium on Rule Interchange and Applications 4 Challenges Health data are stored in heterogeneous ways Health data representation

The International RuleML Symposium on Rule Interchange and Applications 5 Objectives Create an ontology for spatial, temporal and thematic health data query Generate logic rules for semantic query Support roll-up health data and visualization.

The International RuleML Symposium on Rule Interchange and Applications 6 Methodology – Data description New Brunswick Lung Association Data NB_PATIENTINCIDENT NB_PROVINCE NB_HEALTH_REGION NB_CENSUS_DIVISION NB_PC3

The International RuleML Symposium on Rule Interchange and Applications 7 Methodology – Ontology design

The International RuleML Symposium on Rule Interchange and Applications 8 Methodology–Knowledge representation RuleML - de facto open language standard for Web rules Use RuleML to transcribe and refine our ontology as a knowledge base, consisting of facts and rules

The International RuleML Symposium on Rule Interchange and Applications 9 Implementation - Architecture Database Facts Rules User Interface Reasoning Engine (OOJDREW) Mapping Engine (Geotools) Server Request Files Data Client Ontology

The International RuleML Symposium on Rule Interchange and Applications 10 Implementation – Facts Location facts inside(place1->E1V;place2->Health_Region_7). … Patient incident facts generated from the health information. event(id->306947; disease->COPD; postcode->E1V; age->61:Integer; gender->Male). …

The International RuleML Symposium on Rule Interchange and Applications 11 Implementation – Facts Disease facts subclass(disease1->COPD; disease2->Respiratory_Disease). … Age facts agerange(agetype->adults;age1->18:Integer;age2->64:Integer). …

The International RuleML Symposium on Rule Interchange and Applications 12 Implementation – Rules Location relation rules inside_closure(place1->?placeA;place2->?placeB) :- inside(place1->?placeA;place2->?placeB). inside_closure(place1->?placeA;place2->?placeC) :- inside(place1->?placeA;place2->?placeB), inside(place1->?placeB;place2->?placeC). Age rule age(agetype->?agetype;agen->?agex:Integer) :- agerange(agetype->?agetype; age1->?age1:Integer; age2->?age2:Integer), greaterThanOrEqual(?agex:Integer,?age1:Integer), lessThanOrEqual (?agex:Integer,?age2:Integer).

The International RuleML Symposium on Rule Interchange and Applications 13 Implementation – Rules Disease relation rules subclass_closure(disease1->?diseaseA;disease2->?diseaseA). subclass_closure(disease1->?diseaseA; disease2->?diseaseC) :- subclass(disease1->?diseaseA;disease2->?diseaseB), subclass(disease1->?diseaseB;disease2->?diseaseC).

The International RuleML Symposium on Rule Interchange and Applications 14 Implementation – Rules Disease_locator rule disease_locator(id->?id; location->?location; disease->?disease; agetype->?agetype; gender->?gender) :- event(id->?id; postcode->?postcode; disease->?kindofdisease; age->?ageofid:Integer; gender->?gender!?), age(agetype->?agetype;agen->?ageofid:Integer), inside_closure(place1->?postcode;place2->?location), subclass_closure(disease1->?kindofdisease; disease2->?disease).

The International RuleML Symposium on Rule Interchange and Applications 15 Implementation – Roll-up data Determine health event location relationships with administrative boundaries Use spatial operations

The International RuleML Symposium on Rule Interchange and Applications 16 Implementation – Development kits OOjDREW A deductive reasoning engine for the POSL and RuleML, written in Java. Geotools An open source Java code library which provides standards compliant methods for the manipulation of geospatial data.

The International RuleML Symposium on Rule Interchange and Applications 17 Result health region level, COPD, male, and adults

The International RuleML Symposium on Rule Interchange and Applications 18 Conclusion Designed an ontology to explore semantic query of health information Integrated rules in semantic reasoning of spatial and thematic factors. Supported health data roll-up and visualization Future work will be on the optimization of spatial, temporal and thematic reasoning.