LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria The IRIS Risk Knowledge Portal Georgios Meditskos, Nick Bassiliades Logic Programming & Intelligent Systems group Dept. of Informatics Aristotle University of Thessaloniki, Greece

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Outline Introduction The Risk Ontology The Risk Knowledge Portal – Architecture – Functionality – Implementation Demonstration Next Steps

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria The Role of Semantics in IRIS All the variables associated with the Risk Assessment Process are represented in terms of a Risk Ontology – An upper-level schema that describes terms, relationships and restrictions of risk identification and assessment It is a formal representation of the IRIS Risk Glossary that is used for defining Risk Case Studies (Risk Identification)

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Benefits of Semantics Formal vocabulary of terms publicly available for use by different organizations – integration of risk assessment practices from different domains Derivation of implicit/hidden relationships through reasoning – semantic integration and consistency checking using state-of-the-art ontology reasoners Ability to “link” risk terms with existing semantic descriptions in the Web of Data – building a network of semantically interconnected concepts (Linked Data)

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria The Role of the Risk Knowledge Portal To better manage and disseminate the case studies of the risk registry – Simplifies the definition and management of risk knowledge form-based editing vs. Microsoft Excel worksheets easier representation of risk relationships – Searching/browsing capabilities based on semantic relationships To make the underlying risk registry public – A common web reference for risk management – Continuous updating/refinement of risk knowledge To provide basic social features for the active contribution of users to the risk definition/refinement process – comments, discussions, etc. Future -> Integrator for Risk Assessment

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Outline Introduction The Risk Ontology The Risk Knowledge Portal – Architecture – Functionality – Implementation Demonstration Next Steps

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Ontology Requirements Should be able to represent all the needed terms, relationships and restrictions of the domain – e.g. case studies, risk cases, risk variables and their relationships Should be simple – a complex ontology affects reasoning and querying performance an important requirement in our case since there is a need for online (real-time) reasoning tasks

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria The Ontology OWL 2 RL Language 27 classes 31 properties A revision of a previous risk ontology (2010) – modified to meet the requirements of the portal

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Top-level Class Hierarchy

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Case Study There are no subclasses Properties – acronym – editor – hasRiskCases (  ) – version – versionDate

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Risk Case Properties – appearsInCaseStudy (  ) – code – consistsOf (Risks) (  ) – hasFactors (  ) – hasComponents (  ) – hasMechanisms (  ) – hasImpacts (  ) – editor

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Risk Properties – belongsTo (Risk Case) (  ) – hasComponent (  ) – hasFactor (  ) – hasImpact (  ) – hasMechanism (  ) – rickClass (Category)

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Risk Variable Properties – isVariableOf (Risk) (  ) – with subproperties isFactorOf isImpactOf isComponentOf isMechanismOf

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Category There are no subclasses Specific–only instances (owl:oneOf) It is used in order to define instances relevant to categories

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Basic Ontology Restrictions A Case Study may have zero or more Risk Cases – Each Risk Case belongs to a single Case Study A Risk Case has one or more Risks – Each Risk belongs to a single Risk Case A Risk has one or more Risk Variables (Factors, Components, Mechanisms, Impacts) – A Risk Variable may belong to multiple Risks

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Outline Introduction The Risk Ontology The Risk Knowledge Portal – Architecture – Functionality – Implementation Demonstration Next Steps

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Risk Knowledge Portal – Web application (.NET 4 Web Forms) Architecture

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Risk Ontology Service A WSDL Web Service (in JAVA) that supports operations for querying and updating the risk ontology Front-end – receives SOAP messages from the IRIS Portal Back-end – it communicates with Sesame (the triple store) and OWLIM Lite (rule- based ontology reasoner)

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Outline Introduction The Risk Ontology The Risk Knowledge Portal – Architecture – Functionality – Implementation Demonstration Next Steps

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Overview User accounts – role-based authentication Risk Ontology Management Faceted Browsing/Filtering/Searching Favorites

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria User Roles Three role-based security levels – Users: limited access they are allowed to search, browse/navigate the risk ontology able to comment, share ideas and participate in discussions with other users (not implemented yet) – Knowledge Engineers: have all the privileges of Users they are also capable of posting new case studies and risk cases or updating the ones that they have submitted they are not allowed to modify posts of other users – Administrators: have all the privileges of Users and Knowledge Engineers they are also capable of modifying the entire risk ontology they are responsible for the management of the user accounts (not implemented yet)

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Posting New Risks Two types of post – New Case Studies – New Risk Cases with their risk variables In order to post a Risk Case, the Case Study should already exist – each Risk Case must belong to a single Case Study

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Faceted Searching/Browsing Users are able to search and browse – Case Studies – Risk Case – Risk Variable For each type, different facets/filters may be defined – e.g. give me all the Case Studies that are associated (indirectly) with a specific Risk Variable – A dynamic SPARQL query is generated

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Favorites Users can add Case Studies, Risk Cases, Risks and Risk Variables to their favorites – easy access – keep track of updates and activities

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Outline Introduction The Risk Ontology The Risk Knowledge Portal – Architecture – Functionality – Implementation Demonstration Next Steps

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Repository Queries Dynamically generated SPARQL 1.1 queries based on users activity – searching, filtering, browsing the ontology Queries are submitted via the Risk Ontology Service to OWLIM – it supports non-trivial inference with tens of millions of statements

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Sample SPARQL Query 1 Retrieve all Case Studies SELECT DISTINCT ?ID ?Acronym ?Description ?Editor ?Version ?VersionDate WHERE { ?ID rdf:type iris:CaseStudy; iris:acronym ?Acronym; iris:description ?Description; iris:version ?Version; iris:versionDate ?VersionDate; iris:editor ?Editor. }

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Sample SPARQL Query 2 SELECT DISTINCT ?CaseStudy ?Acronym ?Description ?Editor ?Version ?VersionDate WHERE { ?CaseStudy rdf:type iris:CaseStudy; iris:acronym ?Acronym; iris:description ?Description; iris:version ?Version; iris:date ?date; iris:versionDate ?VersionDate; iris:editor ?Editor. ?CaseStudy iris:hasRiskCases ?RiskCase0. ?RiskCase0 iris:hasVariables iris:component622427b2-a64a-4e0a-83e4-83c4b309b618. } variable id Retrieve all Case Studies that are related to the “blades deflections” variable

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Updates Currently OWLIM does not support the SPARQL 1.1 UPDATE construct – is used to update the ontology via SPARQL Will be available in the next release We use the native OWLIM API for adding and removing triples

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Custom Rules Ability to enhance the reasoning results with custom inferences OWLIM supports the definition of rules using a triple- based rule language Both OWL entailments and custom rules are translated into JAVA byte-code

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Custom Rule Example Id: AssociateRiskCaseAndComponents x x r r c x c

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Summary of Technologies Portal – ASP.NET 4 Web forms – jQuery (Ajax-based communication) – SQL SERVER 2008 R2 (for the social features) Risk Ontology Service – JAVA 6 – Sesame (triple store) – OWLIM Lite 4 (reasoner) – SPARQL 1.1 – Apache Tomcat

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Outline Introduction The Risk Ontology The Risk Knowledge Portal – Architecture – Functionality – Implementation Demonstration Next Steps

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Outline Introduction The Risk Ontology The Risk Knowledge Portal – Architecture – Functionality – Implementation Demonstration Next Steps

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Risk Assessment Calculation Portal will become the integrator of various risk assessment tools The following calculations are required to assess overall risk probability – “summation” of the probability of occurrence of the components – “summation” of the probability of occurrence of risk variables occurrence, i.e. factors, components, mechanisms, and impacts

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria Risk Assessment The ontology will evolve in order to “host” data for probabilities and various other numerical data values – Will be re-inserted from older ontology versions Specialized custom rules will be used to summate the values provided by the users or other tools Special APIs will be used to communicate with these other tools (e.g. Matlab) Database will hold past risk assessment cases if needed

LEAD BENEFICIARY: ARISTOTLE UNIVERSITY OF THESSALONIKI – AUTh (Professor Demos Angelides) IRIS SUMMER ACADEMY 2011 hosted by VCE 03 – 07 September 2011, Zell am See, Austria More Social Features User profiles Comments Connections among users