Towards the Semantic Web Expert System

Verhodubs, Olegs; Grundspeņķis, Jānis

doi:10.2478/v10143-011-0029-y

Cited by 9 publications

(9 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is possible to generate such rules: IF Heart and "part of" THEN Organism, (4) IF Organism and "part of" THEN possible Heart,…”

Section: Fig 3 Two Concepts "Son" and "Father" Has Relation "Hasparmentioning

confidence: 99%

“…It is planned that SWES will use mobile agents, which will analyze the Semantic Web ontologies written in OWL language and will develop its knowledge base [4]. That is, when needed ontology is found, mobile agents will look for such cases in the ontology and will form SWES knowledge base.…”

Section: Class: Heartmentioning

confidence: 99%

“…Thus, the final goal of the research is to develop such an expert system (SWES), which will be capable to use OWL ontologies from the Web, to extract rules and to supplement its knowledge base in automatic mode [4]. It was concluded from the available sources that the task of rule generation from ontologies is not researched deeply enough at the present moment [4].…”

Section: Introductionmentioning

confidence: 99%

“…It was concluded from the available sources that the task of rule generation from ontologies is not researched deeply enough at the present moment [4].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evolution of ontology potential for generation of rules

Verhodubs

Grundspeņķis

2012

Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics

Self Cite

View full text Add to dashboard Cite

The main purpose of this paper is to evaluate the potential of OWL (Web Ontology Language) ontologies for generation of rules. It is assumed that OWL ontology expressions can serve as a material for rule extraction. It is necessary for Semantic Web Expert System development and it is expected that such Semantic Web Expert System (SWES) will be able to process ontologies from the Web with the purpose to supplement or even to develop its knowledge base. Available publications show that the problem of rule extraction from ontologies is not investigated deeply enough.

show abstract

“…It is possible to generate such rules: IF Heart and "part of" THEN Organism, (4) IF Organism and "part of" THEN possible Heart,…”

Section: Fig 3 Two Concepts "Son" and "Father" Has Relation "Hasparmentioning

confidence: 99%

Section: Class: Heartmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…It was concluded from the available sources that the task of rule generation from ontologies is not researched deeply enough at the present moment [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evolution of ontology potential for generation of rules

Verhodubs

Grundspeņķis

2012

Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics

Self Cite

View full text Add to dashboard Cite

show abstract

“…At the same time, new theoretical classifications of expert systems turned up: The Static / Dynamic and Internet-based expert systems [3][4] [6]. In the field of welding and new product development, several expert systems already exist:…”

Section: Background and Related Workmentioning

confidence: 99%

Application of semantic technology for calculation of welding time in the development of new products

Stropnik¹,

Vuherer

Samarđžić

et al. 2017

Teh. vjesn.

View full text Add to dashboard Cite

Preliminary communicationDetermining the time of execution is very important in the early stages of each project (e.g. making offers, design phase etc.), especially in the stage of planning. This paper presents our approach to estimating the welding time for the purposes of planning the manufacturing processes. The approach is based on the knowledge of welding experts from the Nieros metal d.o.o. company and standards of welding (international and internal). An expert system was developed based on semantic web technologies for calculating the welding time in the product design phase and it is strongly integrated with the main ERP system of the Nieros metal d.o.o. company. Test results are presented at the end of this article. Keywords: expert system; new product development; ontology; welding of steels Primjena semantičke tehnologije za izračun vremena zavarivanja u razvoju novih proizvodaPrethodno priopćenje Određivanju vremena izvršenja je vrlo važno u ranim fazama svakog projekta (npr. ponude, dizajn faza, itd.), a posebno u fazi planiranja. Ovaj rad predstavlja naš pristup procjeni vremena zavarivanja u svrhu planiranja proizvodnog procesa. Pristup se temelji na znanju stručnjaka za zavarivanje iz društva Nieros metala d.o.o. i na standardu za zavarivanje (međunarodni i unutarnji). Ekspertni sustav je razvijen na temelju semantičkih tehnologija za izračunavanje vremena zavarivanja u fazi projektiranja proizvoda. Sistem je snažno integriran sa glavnim ERP sustavom društva Nieros metala d.o.o. Rezultati eksperimenta su prikazani na kraju ovog članka.

show abstract

Shared Rules: Knowledge Sharing Service by RIF Rules

Kim

Seo

2019

2019 IEEE International Conference on Big Data and Smart Computing (BigComp)

View full text Add to dashboard Cite

Towards the Semantic Web Expert System

Cited by 9 publications

References 5 publications

Evolution of ontology potential for generation of rules

Evolution of ontology potential for generation of rules

Application of semantic technology for calculation of welding time in the development of new products

Shared Rules: Knowledge Sharing Service by RIF Rules

Contact Info

Product

Resources

About