Ontology-Based Approach for Managing Personal Health and Wellness Information

Sachinopoulou, Anna; Leppänen, Juha; Kaijanranta, Hannu; Lähteenmäki, Jaakko

doi:10.1109/iembs.2007.4352662

Cited by 9 publications

(4 citation statements)

References 5 publications

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“…We reuse parts of the Nuadu ontology collection [SLKL07], mainly the Activity and Nutrition ontologies. We reuse parts of the Nuadu ontology collection [SLKL07], mainly the Activity and Nutrition ontologies.…”

Section: Hybrid Global Knowledge Bases In Wellnessrulesmentioning

confidence: 99%

Rule Interchange and Applications

Governatori¹,

Hall²,

Paschke³

2009

Lecture Notes in Computer Science

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Section: Hybrid Global Knowledge Bases In Wellnessrulesmentioning

confidence: 99%

Rule Interchange and Applications

Governatori¹,

Hall²,

Paschke³

2009

Lecture Notes in Computer Science

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“…As its (light-weight) ontology component, WellnessRules employs subClassOf taxonomies. We reuse parts of the Nuadu ontology collection [SLKL07], especially from the Activity and Nutrition ontologies. WellnessRules currently employs an Activity taxonomy using Nuadu classes (based on activity codes [AHW + 00]) Running, Walking, WaterSports subsuming SwimmingCalm, WinterSports subsuming IceSkating, and Sports subsuming a WellnessRules class Baseball, as well as WellnessRules classes Hiking, and Yoga.…”

Section: Hybrid Global Knowledge Bases In Wellnessrulesmentioning

confidence: 99%

Social Semantic Rule Sharing and Querying in Wellness Communities

Boley¹,

Osmun²,

Craig³

2009

The Semantic Web

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In this paper we describe the Web 3.0 case study WellnessRules, where ontology-structured rules (including facts) about wellness opportunities are created by participants in rule languages such as Prolog and N3, and translated for interchange within a wellness community using RuleML/XML. The wellness rules are centered around participants, as profiles, encoding knowledge about their activities, nutrition, etc. conditional on the season, the time-of-day, the weather, etc. This distributed knowledge base extends fact-only FOAF profiles with a vocabulary and rules about wellness group networking. The communication between participants is organized through Rule Responder, permitting translator-based reuse of wellness profiles and their distributed querying across engines. WellnessRules interoperates between rules and queries in the relational (Datalog) paradigm of the pure-Prolog subset of POSL and in the frame (F-logic) paradigm of N3. These derivation rule languages are implemented in the engines OO jDREW and Euler, and connected via Rule Responder to support wellness communities. An evaluation of Rule Responder instantiated for WellnessRules found acceptable Web response times.

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“…We reuse parts of the Nuadu ontology collection [SLKL07], mainly the Activity and Nutrition ontologies. WellnessRules currently employs an Activity taxonomy using Nuadu classes Running, Walking, WaterSports subsuming SwimmingCalm, WinterSports subsuming IceSkating, and Sports subsuming a WellnessRules class Baseball, as well as WellnessRules classes Hiking, and Yoga.…”

Section: Hybrid Global Knowledge Bases In Wellnessrulesmentioning

confidence: 99%

WellnessRules: A Web 3.0 Case Study in RuleML-Based Prolog-N3 Profile Interoperation

Boley¹,

Osmun²,

Craig³

2009

Lecture Notes in Computer Science

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Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist. Abstract. An interoperation study, WellnessRules, is described, where rules about wellness opportunities are created by participants in rule languages such as Prolog and N3, and translated within a wellness community using RuleML/XML. The wellness rules are centered around participants, as profiles, encoding knowledge about their activities conditional on the season, the time-of-day, the weather, etc. This distributed knowledge base extends FOAF profiles with a vocabulary and rules about wellness group networking. The communication between participants is organized through Rule Responder, permitting wellness-profile translation and distributed querying across engines. WellnessRules interoperates between rules and queries in the relational (Datalog) paradigm of the pure-Prolog subset of POSL and in the frame (F-logic) paradigm of N3. An evaluation of Rule Responder instantiated for WellnessRules revealed acceptable Web response times.

show abstract

Ontology-Based Approach for Managing Personal Health and Wellness Information

Cited by 9 publications

References 5 publications

Rule Interchange and Applications

Rule Interchange and Applications

Social Semantic Rule Sharing and Querying in Wellness Communities

WellnessRules: A Web 3.0 Case Study in RuleML-Based Prolog-N3 Profile Interoperation

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