請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72296完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳信希(Hsin-Hsi Chen) | |
| dc.contributor.author | Po-Cheng Huang | en |
| dc.contributor.author | 黃博政 | zh_TW |
| dc.date.accessioned | 2021-06-17T06:33:55Z | - |
| dc.date.available | 2023-08-21 | |
| dc.date.copyright | 2018-08-21 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-08-16 | |
| dc.identifier.citation | 1. Auer, S., et al., Dbpedia: A nucleus for a web of open data, in The semantic web. 2007, Springer. p. 722-735.
2. Bollacker, K., et al. Freebase: a collaboratively created graph database for structuring human knowledge. in Proceedings of the 2008 ACM SIGMOD international conference on Management of data. 2008. AcM. 3. Bordes, A., et al. Translating embeddings for modeling multi-relational data. in Advances in neural information processing systems. 2013. 4. Frank, J.R., et al., Building an entity-centric stream filtering test collection for TREC 2012. 2012, MASSACHUSETTS INST OF TECH CAMBRIDGE. 5. Gardner, M. and T. Mitchell. Efficient and expressive knowledge base completion using subgraph feature extraction. in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 2015. 6. Guu, K., J. Miller, and P. Liang, Traversing knowledge graphs in vector space. arXiv preprint arXiv:1506.01094, 2015. 7. Heindorf, S., et al. Vandalism detection in wikidata. in Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. 2016. ACM. 8. Lao, N., T. Mitchell, and W.W. Cohen. Random walk inference and learning in a large scale knowledge base. in Proceedings of the Conference on Empirical Methods in Natural Language Processing. 2011. Association for Computational Linguistics. 9. Lin, Y., et al., Modeling relation paths for representation learning of knowledge bases. arXiv preprint arXiv:1506.00379, 2015. 10. Lin, Y., et al. Learning entity and relation embeddings for knowledge graph completion. in AAAI. 2015. 11. Mahdisoltani, F., J. Biega, and F.M. Suchanek. Yago3: A knowledge base from multilingual wikipedias. in CIDR. 2013. 12. Shi, B. and T. Weninger, Fact checking in large knowledge graphs-a discriminative predicate path mining approach. arXiv preprint arXiv:1510.05911, 2015. 13. Shiralkar, P., et al. Finding streams in knowledge graphs to support fact checking. in Data Mining (ICDM), 2017 IEEE International Conference on. 2017. IEEE. 14. Suchanek, F.M., G. Kasneci, and G. Weikum. Yago: a core of semantic knowledge. in Proceedings of the 16th international conference on World Wide Web. 2007. ACM. 15. Takaku, Y., et al. Identifying constant and unique relations by using time-series text. in Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. 2012. Association for Computational Linguistics. 16. Vrandečić, D. and M. Krötzsch, Wikidata: a free collaborative knowledgebase. Communications of the ACM, 2014. 57(10): p. 78-85. 17. Wang, P., S. Li, and R. Pan, Incorporating GAN for Negative Sampling in Knowledge Representation Learning. 2018. 18. Wang, Z., et al. Knowledge Graph Embedding by Translating on Hyperplanes. in AAAI. 2014. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72296 | - |
| dc.description.abstract | 以往有不少研究在於讓知識庫自動補全其缺漏的知識，而知識會隨著時間而改變，在知識庫的新增或刪除操作可能會導致其它的相關事實變成錯誤，否則將導致知識庫內部的矛盾。因此我們必須自動的將知識庫內部發生衝突的事實和過期事實移除，如此才能保持知識庫的完整性。我們提出透過整合曾經被刪除的事實，讓我們的模型可以偵測這些過期與衝突的事實以保持知識庫沒有雜訊。一個乾淨的知識庫將可以有效地提供後續的應用像是問答系統或是知識庫補全。 | zh_TW |
| dc.description.abstract | Knowledge base completion involves in discovering missing facts. However, knowledge changes over time. The issue of knowledge base integrity arises when the operations for knowledge base update including insertion and deletion result some facts inconsistent with others in the knowledge base. Therefore, the removal of out-of-date facts is required to keep knowledge base integrity. In this study, we explore two kinds of approaches to knowledge base integrity. In this way, we can eliminate the conflicting facts and out-of-date facts. Our work provides a significant benefit for other tasks such as question answering and knowledge base completion. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T06:33:55Z (GMT). No. of bitstreams: 1 ntu-107-R05922136-1.pdf: 3708919 bytes, checksum: 72acdcb4dba72bad8849f75ec09011ac (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 口試委員會審定書 #
誌謝 i 中文摘要 ii ABSTRACT iii CONTENTS iv LIST OF FIGURES vi LIST OF TABLES vii Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivation 3 1.3 Knowledge Base Integrity 4 1.4 Organization 6 Chapter 2 Related Work 7 2.1 Knowledge Bases 7 2.2 Knowledge Base Completion 9 2.2.1 Embedding-based method 9 2.3 Path-based method 14 Chapter 3 Methods 17 3.1 Difference of Knowledge Base Revisions 17 3.2 Deleted Triples as Negative Instances for TransE 18 3.3 Path Ranking with Path Difference Sets 19 Chapter 4 Experiments and Analysis 21 4.1 Dataset 21 4.1.1 Freebase 21 4.1.2 Wikidata 22 4.2 Experimental Results 23 Chapter 5 Discussion 32 Chapter 6 Conclusion 36 REFERENCE 37 | |
| dc.language.iso | en | |
| dc.subject | 知識庫完整性 | zh_TW |
| dc.subject | 路徑排序 | zh_TW |
| dc.subject | 知識庫補完 | zh_TW |
| dc.subject | knowledge base completion | en |
| dc.subject | knowledge base integrity | en |
| dc.subject | path ranking | en |
| dc.title | 利用路徑差之路徑排序以保持知識庫完整性 | zh_TW |
| dc.title | Path Ranking with Path Difference Sets for Maintaining Knowledge Base Integrity | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 蔡宗翰(Tzong-Han Tsai),蔡銘峰(Ming-Feng Tsai) | |
| dc.subject.keyword | 知識庫補完,知識庫完整性,路徑排序, | zh_TW |
| dc.subject.keyword | knowledge base completion,knowledge base integrity,path ranking, | en |
| dc.relation.page | 37 | |
| dc.identifier.doi | 10.6342/NTU201803782 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2018-08-16 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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| ntu-107-1.pdf 未授權公開取用 | 3.62 MB | Adobe PDF |
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