Vol 10 No 1 (2013): Edisi Juli 2013
Vol 10, No 1, Juli 2013

ONTOLOGY SEBAGAI SOLUSI PENCARIAN MAKNA AMBIGU DALAM DALAM SISTEM YANG HETEROGEN

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  • Herlina Jayadianti,
  • Lukito Edi Nugroho,
  • Paulus Insap Sanntosa,
  • Wahyu Widayat,
  • Carlos Sousa Pinto
Herlina Jayadianti
Teknik Elekro dan Teknologi Informasi Fakultas Teknik, Universitas Gadjah Mada Yogyakarta
Biografi
Lukito Edi Nugroho
Teknik Elekro dan Teknologi Informasi Fakultas Teknik, Universitas Gadjah Mada Yogyakarta
Paulus Insap Sanntosa
Teknik Elekro dan Teknologi Informasi Fakultas Teknik, Universitas Gadjah Mada Yogyakarta
Wahyu Widayat
Fakultas Ekonomi , Universitas Gadjah Mada Yogykarta
Carlos Sousa Pinto
Departemento de Sistemas da Infomacao, Universidade do Minho, Campus de Azurem, Guimaraes Portugal
DOI: https://doi.org/10.31315/telematika.v10i1.386

Diterbitkan 2015-04-15

Kata Kunci

  • Ontology,
  • Ambiguous,
  • Knowledge,
  • Term

Cara Mengutip

Jayadianti, H., Nugroho, L. E., Sanntosa, P. I., Widayat, W., & Pinto, C. S. (2015). ONTOLOGY SEBAGAI SOLUSI PENCARIAN MAKNA AMBIGU DALAM DALAM SISTEM YANG HETEROGEN. Telematika, 10(1). https://doi.org/10.31315/telematika.v10i1.386

Abstrak

Human beings as creatures of God has tremendous advantages in terms of process knowledge . Knowledge , ideas , predictions , and beliefs intertwined managed to produce a greater range of knowledge in the human brain . With its experience a human can easily distinguish them said the same but have different meanings , or otherwise different words but the same meaning . Of all the advantages it has, on one hand, humans also have various limitations in managing large amounts of data , the limitations of doing a quick search , to the limitations in considering complex data . This is the basis of this study . The research in this paper will focus on an ambiguous word search prototype system , where the system is expected later to understand user queries performed more easily . SPARQL , RDF and ontology is the technology that will be used to support the course of this study .

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Referensi

  1. Brewster and K. O’Hara, “Knowledge representation with ontologies: the present and future,” Intell. Syst. Ieee, vol. 19, no. 1, pp. 72–81, 2004.
  2. H. Jayadianti, C. Pinto, L. Nugroho, and P. Insap, “Integrating large knowledge repositories in multiagent ontologies,” Proceedings of the 2nd International Workshop on Exploiting Large Knowledge Repositories (E-LKR’12), in conjunction with the 1st International Workshop on Automatic Text Summarization for the Future (ATSF-2012), CEURWS. org/Vol-882 - Exploiting Large Knowledge Repositories (E-LKR’12), 2012. [Online].
  3. Available: http://ceur-ws.org/Vol-882/. [Accessed: 18-Jan-2013].
  4. H. Jayadianti, L. Nugroho, C. Pinto, P. Insap, and W. Widayat, “Solving Problems of Data Heterogeneity, Semantic Heterogeneity and Data Inequality using Ontologies,” Elpub Conference 2012, 2012. [Online]. Available:http://www3.dsi.uminho.pt/elpub2012/Elpub_2012/Programme.html. [Accessed: 18-Jan-2013].
  5. N. F. Noy, “Semantic integration: a survey of ontology-based approaches,” Acm Sigmod Rec., vol. 33, no. 4, pp. 65–70, 2004.
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