Model-driven and ontology-based framework for semantic description and validation of business processes

Martínez, Nemury Silega; Loureiro, Tania Teresa; Noguera, Manuel

doi:10.1109/tla.2014.6749551

Cited by 5 publications

(2 citation statements)

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“…In the case study of Family Planning Field Officers, there are various sources of data obtained from the (BKKBN) National Population and Family Planning Agency, Data described include Planning, Contraception, Counseling, and Services [25]. Data mostly collected by different actors through various heterogeneous and distributed information sources, and stored and often managed directly in XML [26]. To enable the large volume of data to be described in such a way that their meaning can exploit by machines and queries can be activated,…”

Section: Methodsmentioning

confidence: 99%

Ontology design based on data family planning field officer using OWL and RDF

Awangga¹,

Assegaff²,

Pane³

et al. 2019

TELKOMNIKA

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Population density in Indonesia is ranked fourth in the world. The impact of a large population will affect the level of welfare of the community to decrease, and the number of unemployment is increasing so that the state makes Family Planning Program (PLKB) to control the rate of population growth. Problems in the PLKB program are on knowledge management and mapping from data contraception, counseling and planning so that this research using Ontology method will aim to do mapping with knowledge management and Ontology design shows represented data to relate and describes the resources contained in family planning data. This research approach the representation of ontology that is validated through model transformation from family planning data to ontology design using OWL and RDF which are useful for data processing and representing data to be utilized by field officers in educating the public and eradicating negative issues about family planning programs.

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