Ontologi Populasi Teks Tentang Penyakit Tanaman
35
DAFTAR PUSTAKA
Alexandridis, K. dan Maru, Y. 2012. Collapse and reorganization patterns of social
knowledge representation in evolving semantic networks. Information
Sciences 200: 1-21.
Alfred, S., Arpah, A., L., H. S. Lim, and Sarinder K.K.S, Semantic technology: An
efficient approach to Monogenean information retrieval. Biodatabase and
Informatics Architecture Laboratory (BIAL), Institute of Biological Sciences.
Faculty of Science, University of Malaya, Kuala Lumpur (2010).
Cimiano, P. 2006. Ontology Learning and Population from Text: Algorithms,
Evaluation and Applications. Springer-Verlag: Berlin.
Cimiano, P., Erdmann, M., dan Ladwig, G. 2007. Corpus-based pattern induction for a
knowledge-based question answering approach. IEEE Proc. of International
Conference on Semantic Computing: 671-678.
Croft, W. B., Metzler, D., Strohman, T. 2010. Search Engines Information Retrieval
in Practice. Boston: Addison Wesley.
Formica, A. 2006. Ontology-based concept similarity in formal concept analysis.
Information Sciences 176: 2624-2641.
Gartner, R. 2008. Metadata for digital libraries: state of the art and future directions.
JISC Technology & Standards Watch, JSIC: Bristol, UK.
Haarslev, V., Pai, H.-I., Shiri, N. 2008. Uncertainty reasoning for ontologies with
general Tboxes in Description Logic. URSW 2005-2007, LNAI 5327: 358-402.
Hu, F., dan Zhang, Y.-f. 2010.
Text mining based on domain ontology. IEEE
International Conference on E-Business and E-Government: 1456-1459.
Ibrahim, Z. dan Noah, S. A., and Noor, M. M. 2010. Rules fo Ontology Population
from Text of Malaysia Medicinal Herbs Domain, Departemen of Information
System Management, Faculty of Information Management, Univerisiti
Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia.
Universitas Sumatera Utara
36
Kao, A. dan Stephen R. Poteet. 2007. Natural Language Processing and Text Mining.
Spinger-Verlag: Berlin.
Kolli, M. Dan Boufaida, Z. 2011. A description logics formalization for the ontology
matching. Procedia Computer Science 3 (WCIT 2010): 29-35.
Lee, C.-S., Kao, Y.-F., Kuo, Y.-H., dan Wang, M.-H. 2007. Automated ontogolgy
construction for unstructured text documents. Data & Knowledge Engineering
60: 547-566.
Lutz, C. 2004. 2004. Combining interval-based temporal reasoning with general
Tboxes. Artificial Intelligence 152: 235-274.
Lutz, C. dan Miličić, M. 2007. A tableau algorithm for description logics with
concrete domains and general Tboxes. J. Autom. Reasoning 38: 227-259.
Morneau, M., Mineau, G. W., Corbett, D. 2006. SeseiOnto: Interfacing NLP and
ontology extraction. Proceedings of the 2006 IEEE/WIC/ACM International
Conference on Web Intelligence (WI‟06).
Nasraoui, O., dan Goswami, S. 2006. Mining and validation of localized frequent web
access patterns with dynamic tolerance. ADMA 2006, LNAI 4093: 80-91.
Nasution, M. K. M., Elfida, M., dan Mahfudz, S. 2010. Diskoveri Pengetahuan: Suatu
Kritik. Seminar Nasional Ilmu Komputer (SNIKOM2010).
Nasution, M. K. M. 2010. The Ontology of knowledge based optimization. Prosiding
Semingar Nasional Matematika dan Terapan
(SiManTap): 11-31.
arXiv:1207.5130v1 – 2012.
Nasution, M. K. M., dan Noah, S. A. M., 2010. Superficial method for extracting
social network for academics using web snippets. Rough Set and Knowledge
Technology, LNCS-LNAI Vol. 6401: 483-490.
Nasution, M. K. M. 2011. Kolmogorov complexity: Clustering and similarity. Bulletin
of Mathematics, Vol. 3(1): 1-16.
Nasution, M. K. M. dan Noah, S. A. M. 2011. Probabilistic generative model of social
network based on web features. Interior: 241-250.
Universitas Sumatera Utara
37
Nasution, M. K. M. dan Noah, S. A. M. 2011b. Extracting of academic social network
from online database. IEEE Proceedings of 2011 International Conference on
Semantic Technology and Information Retrieval (STAIR‟11).
Nasution, Mahyuddin K. M. 2012a. Simple search engine model: Adaptive Properties.
Cornell University Library.
Nasution, Mahyuddin K. M. 2012b. Simple search engine model: Adaptive Properties
for doubleton. Cornell University Library.
Nasution, Mahyuddin K. M. 2012c. Kolmogorov complexity: Clustering objects and
similarity. Cornell University Library.
Pretschner, A. and Gauch, S. 1999. Ontology based personalized search. Proceedings
of 11th IEEE International Conference onTools With Artificial Intelligence:
391-398.
Universitas Sumatera Utara
DAFTAR PUSTAKA
Alexandridis, K. dan Maru, Y. 2012. Collapse and reorganization patterns of social
knowledge representation in evolving semantic networks. Information
Sciences 200: 1-21.
Alfred, S., Arpah, A., L., H. S. Lim, and Sarinder K.K.S, Semantic technology: An
efficient approach to Monogenean information retrieval. Biodatabase and
Informatics Architecture Laboratory (BIAL), Institute of Biological Sciences.
Faculty of Science, University of Malaya, Kuala Lumpur (2010).
Cimiano, P. 2006. Ontology Learning and Population from Text: Algorithms,
Evaluation and Applications. Springer-Verlag: Berlin.
Cimiano, P., Erdmann, M., dan Ladwig, G. 2007. Corpus-based pattern induction for a
knowledge-based question answering approach. IEEE Proc. of International
Conference on Semantic Computing: 671-678.
Croft, W. B., Metzler, D., Strohman, T. 2010. Search Engines Information Retrieval
in Practice. Boston: Addison Wesley.
Formica, A. 2006. Ontology-based concept similarity in formal concept analysis.
Information Sciences 176: 2624-2641.
Gartner, R. 2008. Metadata for digital libraries: state of the art and future directions.
JISC Technology & Standards Watch, JSIC: Bristol, UK.
Haarslev, V., Pai, H.-I., Shiri, N. 2008. Uncertainty reasoning for ontologies with
general Tboxes in Description Logic. URSW 2005-2007, LNAI 5327: 358-402.
Hu, F., dan Zhang, Y.-f. 2010.
Text mining based on domain ontology. IEEE
International Conference on E-Business and E-Government: 1456-1459.
Ibrahim, Z. dan Noah, S. A., and Noor, M. M. 2010. Rules fo Ontology Population
from Text of Malaysia Medicinal Herbs Domain, Departemen of Information
System Management, Faculty of Information Management, Univerisiti
Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia.
Universitas Sumatera Utara
36
Kao, A. dan Stephen R. Poteet. 2007. Natural Language Processing and Text Mining.
Spinger-Verlag: Berlin.
Kolli, M. Dan Boufaida, Z. 2011. A description logics formalization for the ontology
matching. Procedia Computer Science 3 (WCIT 2010): 29-35.
Lee, C.-S., Kao, Y.-F., Kuo, Y.-H., dan Wang, M.-H. 2007. Automated ontogolgy
construction for unstructured text documents. Data & Knowledge Engineering
60: 547-566.
Lutz, C. 2004. 2004. Combining interval-based temporal reasoning with general
Tboxes. Artificial Intelligence 152: 235-274.
Lutz, C. dan Miličić, M. 2007. A tableau algorithm for description logics with
concrete domains and general Tboxes. J. Autom. Reasoning 38: 227-259.
Morneau, M., Mineau, G. W., Corbett, D. 2006. SeseiOnto: Interfacing NLP and
ontology extraction. Proceedings of the 2006 IEEE/WIC/ACM International
Conference on Web Intelligence (WI‟06).
Nasraoui, O., dan Goswami, S. 2006. Mining and validation of localized frequent web
access patterns with dynamic tolerance. ADMA 2006, LNAI 4093: 80-91.
Nasution, M. K. M., Elfida, M., dan Mahfudz, S. 2010. Diskoveri Pengetahuan: Suatu
Kritik. Seminar Nasional Ilmu Komputer (SNIKOM2010).
Nasution, M. K. M. 2010. The Ontology of knowledge based optimization. Prosiding
Semingar Nasional Matematika dan Terapan
(SiManTap): 11-31.
arXiv:1207.5130v1 – 2012.
Nasution, M. K. M., dan Noah, S. A. M., 2010. Superficial method for extracting
social network for academics using web snippets. Rough Set and Knowledge
Technology, LNCS-LNAI Vol. 6401: 483-490.
Nasution, M. K. M. 2011. Kolmogorov complexity: Clustering and similarity. Bulletin
of Mathematics, Vol. 3(1): 1-16.
Nasution, M. K. M. dan Noah, S. A. M. 2011. Probabilistic generative model of social
network based on web features. Interior: 241-250.
Universitas Sumatera Utara
37
Nasution, M. K. M. dan Noah, S. A. M. 2011b. Extracting of academic social network
from online database. IEEE Proceedings of 2011 International Conference on
Semantic Technology and Information Retrieval (STAIR‟11).
Nasution, Mahyuddin K. M. 2012a. Simple search engine model: Adaptive Properties.
Cornell University Library.
Nasution, Mahyuddin K. M. 2012b. Simple search engine model: Adaptive Properties
for doubleton. Cornell University Library.
Nasution, Mahyuddin K. M. 2012c. Kolmogorov complexity: Clustering objects and
similarity. Cornell University Library.
Pretschner, A. and Gauch, S. 1999. Ontology based personalized search. Proceedings
of 11th IEEE International Conference onTools With Artificial Intelligence:
391-398.
Universitas Sumatera Utara