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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 17 of 17 1 Learning Translation-Based Knowledge Graph Embeddings by N-Pair Translation Loss Hyun-Je Song; A-Yeong Kim; Seong-Bae Park In: Applied Sciences ; Volume 10 ; Issue 11 (2020) BASE Show details 2 Aspect-Based Sentiment Analysis Using Aspect Map Yunseok Noh; Seyoung Park; Seong-Bae Park In: Applied Sciences ; Volume 9 ; Issue 16 (2019) BASE Show details 3 Abstractive Sentence Compression with Event Attention Su Jeong Choi; Ian Jung; Seyoung Park... In: Applied Sciences ; Volume 9 ; Issue 19 (2019) BASE Show details 4 A Multitask-Based Neural Machine Translation Model with Part-of-Speech Tags Integration for Arabic Dialects Seyoung Park; Seong-Bae Park; Laith H. Baniata In: Applied Sciences ; Volume 8 ; Issue 12 (2018) BASE Show details 5 A Sentence-To-Sentence Relation Network For Recognizing Textual Entailment ... Ampomah, Isaac K. E.; Seong-Bae Park; Sang-Jo Lee. - : Zenodo, 2016 BASE Show details 6 A Sentence-To-Sentence Relation Network For Recognizing Textual Entailment ... Ampomah, Isaac K. E.; Seong-Bae Park; Sang-Jo Lee. - : Zenodo, 2016 BASE Show details 7 Target Concept Selection By Property Overlap In Ontology Population ... Seong-Bae Park; Kim, Sang-Soo; Sewook Oh. - : Zenodo, 2008 BASE Show details 8 Target Concept Selection By Property Overlap In Ontology Population ... Seong-Bae Park; Kim, Sang-Soo; Sewook Oh; Zooyl Zeong; Hojin Lee; Park, Seong Rae. - : Zenodo, 2008 Abstract: An ontology is widely used in many kinds of applications as a knowledge representation tool for domain knowledge. However, even though an ontology schema is well prepared by domain experts, it is tedious and cost-intensive to add instances into the ontology. The most confident and trust-worthy way to add instances into the ontology is to gather instances from tables in the related Web pages. In automatic populating of instances, the primary task is to find the most proper concept among all possible concepts within the ontology for a given table. This paper proposes a novel method for this problem by defining the similarity between the table and the concept using the overlap of their properties. According to a series of experiments, the proposed method achieves 76.98% of accuracy. This implies that the proposed method is a plausible way for automatic ontology population from Web tables. ... : {"references": ["J. Barrasa, O' . Corcho, and A. Go'mez-Pe'rez, \"R2O, an Extensible\nand Semantically Based Database-to-Ontology Mapping Language,\" In\nProceedings of the 2nd Workshop on Semantic Web and Databases,\n2004.", "A. Budanitsky and G. Hirst, \"Evaluating WordNet-based Measures of\nSemantic Distance,\" Computational Linguistics, Vol. 32, No. 1, pp. 13-\n47, 2006.", "S. Castano, S. Espinosa, A. Ferrara, V. Karkaletsis, A. Kaya, S. Melzer,\nR. M\u252c\u00bfoller, S. Montanelli, and G. Petasis, \"Ontology Dynamics with\nMultimedia Information: The BOEMIE Evolution Methodology,\" In\nProceedings of International Workshop on Ontology Dynamics, 2007.", "H. Davulcu, S. Vadrevu, S. Nagarajan, and I.V. Ramakrishnan, \"OntoMiner:\nBootstrapping and Populating Ontologies from Domain-\nSpecific Web Sites,\" IEEE Intelligent Systems, Vol. 18, No. 5, pp. 24-33,\n2003.", "S. Handschuh, R. Volz, and S. Staab, \"Annotating for the Deep Web,\"\nIEEE Intelligent Systems, Vol. 18, No. 5, pp. 42-48, 2003.", "J. Jiang ... Keyword: domain knowledge consolidation; Ontology population; property overlap.; target concept selection URL: https://zenodo.org/record/1060660 https://dx.doi.org/10.5281/zenodo.1060660 BASE Hide details 9 Determining The Gender Of Korean Names For Pronoun Generation ... Seong-Bae Park; Hee-Geun Yoon. - : Zenodo, 2007 BASE Show details 10 Determining The Gender Of Korean Names For Pronoun Generation ... Seong-Bae Park; Hee-Geun Yoon. - : Zenodo, 2007 BASE Show details 11 Resolving Dependency Ambiguity Of Subordinate Clauses Using Support Vector Machines ... Kim, Sang-Soo; Seong-Bae Park; Sang-Jo Lee. - : Zenodo, 2007 BASE Show details 12 Resolving Dependency Ambiguity Of Subordinate Clauses Using Support Vector Machines ... Kim, Sang-Soo; Seong-Bae Park; Sang-Jo Lee. - : Zenodo, 2007 BASE Show details 13 Ontology Kernel - A Convolution Kernel for Ontology Alignment Jeong-woo Son; Hee-guen Yoon; Seong-bae Park In: http://journal.iis.sinica.edu.tw/paper/1/130648-3.pdf?cd%3D4FDE03273B6C6DD40 BASE Show details 14 Korean Compound Noun Decomposition Using Syllabic Information Only Seong-bae Park; Jeong-ho Chang; Byoung-tak Zhang In: http://scai.snu.ac.kr/~scai/Publications/Journals/International/LNCS_2945_143-154(2004).pdf BASE Show details 15 Semantic Role Determination in Korean Relative Clauses Using Idiomatic Patterns Seong-bae Park; Yung Taek Kim In: http://nova.snu.ac.kr/~sbpark/PostScript/iccpol97.ps BASE Show details 16 Determining the Gender of Korean Names for Pronoun Generation Seong-bae Park; Hee-geun Yoon In: http://www.waset.org/journals/waset/v32/v32-9.pdf BASE Show details 17 English-Korean Machine Transliteration by Combining Statistical Model and Web Search Hyun-je Song; Seong-bae Park In: http://www.iaeng.org/publication/IMECS2011/IMECS2011_pp15-20.pdf BASE Show details

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