Cascon2011_2_architecture

The ONTORULE standards-‐based architecture Diego Berrueta

Plato vs. ONTORULE Rule engine Business analyst Ontology extraction Universals Abstract platform (world of ideas) use P13 Terminae Concrete implementations Real world objects use IBM JRules Real user at BigCorpDiego Berrueta/1.0/071111 © ONTORULE Consortium, all right reserved Photo: Jastrow@Wikipedia

T he ONTORULE Photo: rosshawkes@Flickr

The vision The platform Deployments Photo: kdinuraj@Flickr

The foundationsReplicabilityAdaptabilityModularityOpen standards Photo: -jha-@Wikipedia

The building blocks Photo: stevendepolo@Flickr

Abstract components System building System operation Quality assurance Miscelanea Abstract (1a) Ontology componentsAcquisition & modeling extraction from Ontology extraction from NL(13a) Text (1a) NL This component aids to extract OWL2 annotation (1b) Rule extraction from ontologies and SKOS linguistic knowledge Sr. business expert (Gary) NL from pieces of text documents. (X)HTML, (16) Projection (2) Modeling OpenDocument Format and Ofﬁce Open XML are preferred as the input format for Business text documents. analyst (Marc)Management & authoring (10a) Static (13b) Text (3a) Ontology (4) Ontology querying onto. checking authoring instantiation (10b) Static rule (14a) Onto/rule (3b) Rule Rule authoring (3b) checking set verbaliz. Domain expert (Alice) authoring This component permits to author (14b) Onto/rule (10c) Dynamic rulesets compatible withrule checking Rule setare RIF. These rules documentat. (6) execution grounded on OWL2 This componentcan be new facts with ontologies, and derives derived from respect to rules. (15) Result (6) Rule candidate an OWL2 knowledge base byspecialist (11) Dynamic reporting IT execution debugging Query answering (7) (Luis) ﬁring or applying RIF rules. This component (feedback)Execution This component produces XML reports exposes a JSR-94 interface. (7) Query describing solutions, that are consistent (12) Unit testing answering with the OWL2 and RIF-BLD combination, for a given SPARQL or OWL query. This component exposes a SPARQL endpoint Business Operational user application or a DIG interface. (Joana)

1. Select relevant text fragments 2. Identify and reﬁne candidate rules 3. Review rules and visualize related info. Steps Candidate rule extraction from NL An ontology This component aids to extract candidate rules from pieces of text Requires Who? Gary, theAnnotated policy documents. (X)HTML, Marc, the OpenDocument Format and Ofﬁce business senior documents Open XML are preferred as the analyst business input format for text documents. expert Goal Reformulate a text fragment as a set of candidate rules

Component implementations PNA CogNIAM Studio is a software support tool ontoprise OntoBroker (version 6.1 + tight PNA OWL export is a rule-driven for both the Business Analyst and the Business Expert. ObjectLogic-OWL integration) is a Semantic Web transformation from verified, validated, formal, It assists in developing of verified, validated, formal, inference machine. OntoBroker is a commercial complete, and understandable business models complete, and understandable business models product available from ontoprise, and it has been expressed in consistent SBVR, to other formal expressed in consistent SBVR. Studio is a tool used enhanced by adding syntactic integration with OWL 2, languages such as OWL 2. This tool is internally used at internally at PNA. and the semantics of OWL RL. PNA.Paris13 SemEx is a rule editor. SemEx is part of the ONTORULE foreground and has been developed by ontoprise OntoStudio (version 3.0 + tight Paris13. It is available for download from the project ObjectLogic-OWL integration) is an environment for web site. the creation and maintenance of ontologies in Paris13 Terminae is a text-based interactive ObjectLogic. Some features are: ontology editing, ontology acquisition tool based on the Eclipse debugging, testing; integration of data bases andFUB ORM2OWL translator makes it possible to platform. The development of Terminae by Paris13 has knowledge bases via mappings; graphical rule editing; partially transform ORM diagrams into OWL been partially funded by the ONTORULE project. web service import and export; collaborative ontology ontologies. This implementation is available for Terminae is available for download from the project development. OntoStudio is a commercial product download from the ONTORULE web site. web site. available from ontoprise. IBM WebSphere ILOG JRules (version 7.1 + Parrot is a tool that produces human-oriented IBM XPR OWL is the instantiation of the OWL plugin + consistency management plugin) is a reference documentation about rule and ontology XPR<D> Production Rule Engine where the data is BRMS that provides functionality to build and deploy combinations. Parrot is part of the ONTORULE described in OWL and manipulated by an OWL rule-based applications for Java, mainframe and SOA- foreground and has been developed by CTIC. Parrot is reasoner. It provides a complete generic production based environments. The product has been enhanced an open source project available for download fromrule processing pipeline, from the parsing of the rules to with plugins. The base JRules product is commercially http://parrot-project.sourceforge.net/, and a live demo their execution. This component has been developed available from IBM, and the ONTORULE-specific plugins instance is available at http://ontorule-project.eu/ by IBM. are available from the project web page. parrot/. Protégé is an open source OWL ontology editor JBoss Drools is an open source BRMS that JBoss Drools is commercial OWL2 reasoner from Stanford University supports the JSR-94 standard commercially available from Clark&Parsia Photo: denverjeffrey@Flickr

Abstract components Query answering (7) Static ontology checking (10a) This component produces XML reports This component produces EARL reports Dynamic debugging (11) describing solutions, that are consistent about the inconsistencies found in an This component permits the inspection ofwith the OWL2 and RIF-BLD combination, OWL2 ontology. This component exposes an automated process of inference or rule for a given SPARQL or OWL query. This a DIG or OWL-API interface. firing, given a combination of OWL2 and component exposes a SPARQL endpoint RIF. or a DIG interface. Result reporting (feedback) (15) Unit testing (12) Static rule checking (10b) This component produces structured This component automatically checks that This component reports inconsistencies explanations about the outcomes of a combination of OWL2 and RIF satisfies afound in a RIF ruleset, possibly with respect inferencing or rule firing over a given given set of invariants, and reports its to an OWL2 ontology. OWL2 and RIF combination. findings in EARL. ontoprise OntoBroker (version 6.1 + tight ObjectLogic-OWL integration) is a Semantic Web inference machine. OntoBroker is a commercial product available from ontoprise, by adding syntactic integration with OWL 2, and the semantics of OWL RL. Component implementations

The plumbing Photo: uberculture@Flickr

Data objectsTextual, unannotated documents Linguistic knowledge Rules as SNL statements (OOXML, ODF, HTML) (SKOS, TELIX) Annotated documents Interchangeable ontology Query and query answer (XHTML+RDFa, TELIX) (OWL) (SPARQL)Textual documents representing Interchangeable rules List of issues parts of models (RIF) Complete business model Unit test assessment Executable ontology (SBVR+BPMN) (EARL) Fact base Executable rules Explanation of results (RDF) Photo: danndalf@Flickr

Interchangeable ontologyInterchangeable rules Query answer Query answering (7) This component produces XML reports InterchangeableExecutable ontology describing solutions, that are consistent ontology with the OWL2 and RIF-BLD combination, Executable rules for a given SPARQL or OWL query. This Interchangeable rules component exposes a SPARQL endpoint Fact base or a DIG interface. Explanation of results Query

Ontology extraction from NL (1a) This component aids to extract OWL2ontologies and SKOS linguistic knowledgefrom pieces of text documents. (X)HTML,OpenDocument Format and Ofﬁce OpenXML are preferred as the input format for text documents. Ontology authoring (3a) This component permits to author ontologies compatible with OWL2 or SBVR. Interchangeable ontology (OWL) Query answering (7) This component produces XML reports describing solutions, that are consistent with the OWL2 and RIF-BLD combination, for a given SPARQL or OWL query. This component exposes a SPARQL endpoint or a DIG interface. Photos: {wscullin,elsie}@Flickr

Putting itall together Photo: rene_schlegel@Flickr

Photos: {ell-r-brown,lhoon}@Flickr

Textual, unannotated Coil assignment system documents ProtégéOntology authoring Interchangeable IBM WebSphere ILOG ontology (OWL) Rule authoring JRules Interchangeable rules Executable rules Executable rules’ (RIF) IBM WebSphere ILOG Rule execution IBM Tight Engine Rule execution’ JRules Ontology instantiation Ad-hoc scripting Fact base Onto/rule set Textual documents Parrot representing parts of models documentation Coil Coil data assignments

Users (personas)Building blocks Query answering ontoprise(components) OntoBroker Plumbing Interchangeable(data objects) ontology

Take-awayThe ONTORULE platform is an open-standards-based speciﬁcation of a replicable pattern to build business user-oriented applicationsbased on business knowledgeLearn more at http://ontorule-project.eu/ Photo: denverjeffrey@Flickr

</architecture> This photo: mcdermottd@FlickrFirst slide photo: http://wallres.saiswa.com/post.1371448.php

Acknowledgements

http://ontorule-project.eu	208
http://www.ontorule-project.eu	5
http://192.168.2.19	1

Cascon2011_2_architecture

by ONTORULE Project on Nov 23, 2011

Accessibility

Categories

Tags

Upload Details

Usage Rights

3 Embeds 214

Statistics

Cascon2011_2_architecture — Presentation Transcript