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BOnSAI

Smart Building Ontology for Ambient Intelligence

BOnSAI is part of the Smart IHU project of the International Hellenic University.
Smart IHU at the IHU R&D

BOnSAI imports and extends the OWL-S: Semantic Markup for Web Services http://www.daml.org/services/owl-s/1.2/Service.owl
and the CoDAMoS ontology re-hosted at ISKPOntologies. http://distrinet.cs.kuleuven.be//projects/CoDAMoS/ontology/context.owl

Smart IHU Ruleset

The enclosed ruleset file illustrates the SPINdle-specific syntax for the rule base of the Smart IHU hybrid agent. The ruleset contains a set of threshold values for luminance, temp, motion and power consumption and a set of sample input values for demonstration purposes. It can be executed in suitable reasoners as well as online at http://spin.nicta.org.au/spindle/demo.html

The package contains:

  • SmartIHU_ruleset.dfl: The ruleset
  • ReadMe.txt: Description and instructions
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gPAP

Ontology of Greek Public Administration Procedures

gPAP is an ontology built partly in OWL-DL and partly in OWL-S, developed by Nick Bassiliades in cooperation with Ioannis SavvasThe ontology of Greek public administration procedures represents which types of documents are produced by which public administration units and how these documents flow among these units. The ontology consists of two parts. The first part represents, in OWL, the Greek public administration structure (i.e. administrative units and their hierarchical relationships) and documents, which are either used by these units as a legal framework or they are produced by them. Thus, documents are further divided in Judicial/legislative and Administrative/citizen. In the second part, the procedures are represented in OWL-S service models. The ontology is updated continuously as new laws, administrative regulations and procedures are issued.

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IRIS

Risk Core Ontology for the IRIS project

IRIS is an ontology built in OWL-DL, developed by Nick Bassiliades in cooperation with Dimitris Vrakas and Georgios MeditskosOntologies in the IRIS project formally represent all the variables associated with the Risk Assessment Process, namely inputs and outputs to the Risk Assessment Tool, variables of past cases or models, and in general of every other tool used for risk assessment. Ontologies are needed in order to facilitate integration of risk assessment practices from different domains, to eliminate misunderstandings concerning the use of terms among these domains and tools, to allow the use of various ways to describe the same term (synonyms, translations, etc) and finally, to enable reasoning in a higher level of abstraction, i.e. general rules that apply to a group of specific cases. The Risk Core Ontology describes terms, relationships and restrictions common to all aspects of risk identification and assessment regardless of the specific engineering application, as it has been formulated by the new IRIS Risk Paradigm.

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IRO

Ontology of the Internal Regulations of the Joint Postgraduate Course on "Informatics and Management"

IM-JPC is an ontology built in OWL-DL and SWRL, developed by Gerasimos Papadopoulos in cooperation with Nick BassiliadesThe ontology formally represents the Internal Regulation of an MSc course of a Greek State University using ontologies and rules, in order to provide an indisputable way of letting software agents use these regulations to check compliance of candidate and current MSc student to them. A part of the ontology is built in OWL and it formally represents the concepts, roles and relationships described in the IR (Internal Regulation Ontology - IRO) of the Joint Postgraduate Course on “Informatics and Management” of Aristotle University of Thessaloniki, Greece. The ontology is coupled with a rich SWRL rule set that together with the ontology describes formally and declaratively the structure and the functionality of this course. The purpose of the ontology and the rules it to be able to monitor the compliance of student’s performance to the IR and detect any deviations early, using DL-reasoners and SWRL-aware rule engines.

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OntoLife

An Ontology for Semantically Managing Personal Information

OntoLife is an OWL-Full ontology, developed by Eleni Kargioti in cooperation with Efstratios KontopoulosThe ontology can be used for modeling the domain of biographical events, by describing a person’s characteristics, relationships and experiences.

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PASER Competencies Ontology

An Ontology of AI-related Competencies

The PASER Competencies Ontology is an RDF/S ontology developed by Efstratios Kontopoulos in cooperation with Dimitris Vrakas The ontology consists of a number of AI-related competencies (310 in total) that formulate a taxonomy, deployed for the PASER (Planner for the Automatic Synthesis of Educational Resources) e-learning platform.

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HASM haptic ontology

An Ontology of information pathways in haptic interfaces

The HASM Ontology is an OWL ontology developed by Eirini Myrgioti in cooperation with Nick Bassiliades and Amalia Miliou The ontology captures and formally models the existing knowledge in haptics domain, using OWL, and defines the pathways that the haptic information follows between the human and the machine haptic system, using SWRL rules. The haptic ontologywill be used during the specifications and design phases of developing software applications for haptic interfaces.

 

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