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Ontologiczna inżynieria wiedzy

100%
Dobrowolski D., Kapłański P., Łojewski Z., Marciniak A.
Nierówności społeczne a wzrost gospodarczy
|
2015
|
vol. 44 cz. 1
88-98
PL
Ontologiczna inżynieria wiedzy jest dobrą podstawą metodologiczną, a ontologie dziedzin przedmiotowych ważnym elementem konstrukcyjnym semantycznych systemów reprezentacji wiedzy. W artykule omówiono budowanie ontologii w oparciu o edytor ontologii FluentEditor i język CNL (Controlled Natural Language). Przykładową ontologię dotyczącą fragmentu procesu produkcji rolniczej wykorzystano do budowy semantycznej bazy wiedzy. W tym celu wykorzystano projekt architektury opartej o strukturalno-funkcjonalną kompozycję systemów AllegroGraph, Drupal i MongoDB.
EN
Ontological knowledge engineering is a good methodological background of semantic knowledge representation in systems design, and ontologies are important components of it. The paper presents process building ontology using the ontology editor FluentEditor and CNL (Con-trolled Natural Language). A sample ontology of agricultural production process was used to build an example of semantic knowledge base. For this purpose we applied software systems like AllegroGraph, Drupal and MongoDB.
2
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SEMANTIC TECHNOLOGIES BASED METHOD OF COLLECTION, PROCESSING AND SHARING INFORMATION ALONG FOOD CHAIN

88%
Dobrowolski D., Marciniak A., Bartnik G., Kapłański P., Łojewski Z.
Information Systems in Management
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2016
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vol. 5
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issue 3
318-325
EN
In the paper the method of collecting, processing and sharing information along food chain is presented. Innovative features of that method result from advantages of data engineering based on semantic technologies. The source to build ontology are standards and regulations related to food production, and data collected in databases owned by food chain participants. It allows food chain information resources can be represented in semantic languages RDF/RDFS/OWL and form semantic database where data are easily integrated according to various criteria using automatic inference algorithms. Feasibility of proposed method is achievable with Ontorion Knowledge Framework.
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