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Estimating Rule Quality for Knowledge Base Completion with the Relationship between Coverage Assumption

Kaja Zupanc, Jesse Davis
2018 Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18  
One interesting task is learning from a knowledge base to generate new knowledge either in the form of inferred facts or rules that define regularities.  ...  To address this problem, we propose a novel score function for evaluating the quality of a first-order rule learned from a KB.  ...  ACKNOWLEDGMENTS We would like to thank Jessa Bekker, Hendrik Blockeel and the anonymous reviewers for their very helpful feedback on this paper.  ... 
doi:10.1145/3178876.3186006 dblp:conf/www/ZupancD18 fatcat:3ahydkawlnfblfccdbf5a6ytou

Hybridization of Rough Sets and Statistical Learning Theory [chapter]

Wojciech Jaworski
2011 Lecture Notes in Computer Science  
We introduce new estimators for rule accuracy and coverage, which base on the assumptions of the statistical learning theory.  ...  These estimators allow us to select rules describing statistically significant dependencies in data. Then we construct classifier which uses these estimators for rule induction.  ...  The following table presents a few rules (generated with significance at least 95%): Acknowledgment The research has been partially supported by grants N N516 368334 and N N206 400234 from Ministry of  ... 
doi:10.1007/978-3-642-18302-7_3 fatcat:esxfsj26frgzpft3fng2qzpqfq

A Formal Representation of the WHO and UNICEF Estimates of National Immunization Coverage: A Computational Logic Approach

Anthony Burton, Robert Kowalski, Marta Gacic-Dobo, Rouslan Karimov, David Brown, Thomas Eisele
2012 PLoS ONE  
A basic overview of computational logic is presented and its application to official statistics is illustrated with the WHO & UNICEF estimates of national immunization coverage.  ...  Representations using computational logic can be implemented in a variety of computer-based languages for automated production.  ...  For example, an estimate of coverage for the first dose of DTP can be made based on a second degree polynomial function with parameters estimated by a modelled relationship between DTP1 and DTP3 survey  ... 
doi:10.1371/journal.pone.0047806 pmid:23133527 pmcid:PMC3485034 fatcat:e6ynkq5y3zdbnjrjv4smokkrbi

Modeling Mode Choice Behavior Incorporating Household and Individual Sociodemographics and Travel Attributes Based on Rough Sets Theory

Long Cheng, Xuewu Chen, Ming Wei, Jingxian Wu, Xianyao Hou
2014 Computational Intelligence and Neuroscience  
Comparative evaluation with the MNL model also proves that the rough sets model gives superior prediction accuracy and coverage on travel mode choice modeling.  ...  The study uses the detailed travel diary survey data of Changxing county which contains information on both household and individual travel behaviors for model estimation and evaluation.  ...  The authors also would like to thank the graduate research assistants at School of Transportation at Southeast University for their assistance in data collection.  ... 
doi:10.1155/2014/560919 pmid:25431585 pmcid:PMC4241256 fatcat:66ctbbahsjgsdh4ncgoeto5opy

Analyzing the relationships between inspections and testing to provide a software testing focus

Frank Elberzhager, Jürgen Münch, Danilo Assmann
2014 Information and Software Technology  
Objective: The underlying goal of this paper is to help companies get a better understanding of these relationships for their own environment, and to provide them with a methodology for finding relationships  ...  Evaluated knowledge about relationships between inspections and testing can be used in the integrated inspection and testing approach In 2 Test to focus testing activities.  ...  We would also like to thank Sonnhild Namingha for proofreading.  ... 
doi:10.1016/j.infsof.2014.02.007 fatcat:db2xq2v4ijc53emn2ru6fbh5lu

A review of auditing methods applied to the content of controlled biomedical terminologies

Xinxin Zhu, Jung-Wei Fan, David M. Baorto, Chunhua Weng, James J. Cimino
2009 Journal of Biomedical Informatics  
Although controlled biomedical terminologies have been with us for centuries, it is only in the last couple of decades that close attention has been paid to the quality of these terminologies.  ...  The quality factors examined included concept orientation, consistency, non-redundancy, soundness and comprehensive coverage.  ...  Cimino was supported in part by funds from the intramural research program at the National Institutes of Health (NIH) Clinical Center and the National Library of Medicine (NLM).  ... 
doi:10.1016/j.jbi.2009.03.003 pmid:19285571 pmcid:PMC3505841 fatcat:afrfbtbxqnal5o5bxzbvquw6gm

WHO and UNICEF estimates of national infant immunization coverage: methods and processes

Anthony Burton
2009 Bulletin of the World Health Organization  
The estimates are based on government reports submitted to WHO and UNICEF and are supplemented by survey results from the published and grey literature.  ...  national coverage with routine service delivery of the following vaccines: bacille Calmette-Guérin; diphtheria-tetanus-pertussis, first and third doses; either oral polio vaccine or inactivated polio vaccine  ...  Acknowledgements The authors thank the many people who contributed to these estimates, in particular the national and local immunization services managers and the staff of country and regional WHO and  ... 
doi:10.2471/blt.08.053819 pmid:19649368 pmcid:PMC2704038 fatcat:3fwhhqrx4bgz7gkggctv2ratmm

Extracting Comparative Commonsense from the Web [chapter]

Yanan Cao, Cungen Cao, Liangjun Zang, Shi Wang, Dongsheng Wang
2010 IFIP Advances in Information and Communication Technology  
This paper presents an automatic method for acquiring comparative commonsense from the World Wide Web.  ...  And the experimental results show that this approach profits significantly when the semantic similarity relationships are involved in the commonsense assessment.  ...  This work is supported by the National Natural Science Foundation of China under Grant No. 60773059.  ... 
doi:10.1007/978-3-642-16327-2_21 fatcat:ukfdd76xmng4pmiq3jrqypyooe


Stefano Ortona, Venkata Vamsikrishna Meduri, Paolo Papotti
2018 Proceedings of the VLDB Endowment  
RuDiK is a system for the discovery of declarative rules over knowledge-bases (KBs).  ...  RuDiK discovers both positive rules, which identify relationships between entities, e.g., "if two persons have the same parent, they are siblings", and negative rules, which identify data contradictions  ...  Figure 2 : Coverage of three negative rules for predicate child over generation and validation sets. Second, the weight estimation leads to pruning unpromising rules.  ... 
doi:10.14778/3229863.3236231 fatcat:t6n2p7q2ubd2jgwunpdye5oo64

Imperfect detection biases extinction‐debt assessments

Fielding A. Montgomery, Scott M. Reid, Nicholas E. Mandrak
2021 Conservation Science and Practice  
Using species-area relationships, we estimated ED for fishes in historically disturbed wetlands in the Lake Erie basin.  ...  Estimating the likelihood and magnitude of future extinctions (extinction debt; ED) is integral for conserving biodiversity and requires accurate species composition lists.  ...  Thanks to the community of Walpole Island First Nations for access to conduct research on their land and for providing their profound knowledge and assistance conducting research.  ... 
doi:10.1111/csp2.427 fatcat:rqq4gnlobjd7xlvvvqrcbcweti

An Evolutionary Schema for Using "it-is-what-it-is" Data in Official Statistics

Jack Lothian, Anders Holmberg, Allyson Seyb
2019 Journal of Official Statistics  
These sources were obviously biased and thus would produce biased estimates. So, we set out to design a strategy to deal with this issue.  ...  Additionally, time and space (geography) are becoming more important dimensions (domains) for CSAs as they start to explore new data sources and ways to integrate those to study relationships.  ...  Without some knowledge of the true n and N, how can we make unbiased estimates of the relationships?  ... 
doi:10.2478/jos-2019-0007 fatcat:erwas7nzpjgrlgemgooqlbybwy

A phrase mining framework for recursive construction of a topical hierarchy

Chi Wang, Marina Danilevsky, Nihit Desai, Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, Jiawei Han
2013 Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '13  
Our mining framework is based on a phrase-centric view for clustering, extracting, and ranking topical phrases.  ...  Experiments with datasets from different domains illustrate our ability to generate hierarchies of high quality topics represented by meaningful phrases.  ...  t x i (8) This estimation is based on two assumptions: i) when generating a topic-z phrase of length n, each of the n terms is generated with the multinomial distribution θ z , and ii) the total number  ... 
doi:10.1145/2487575.2487631 dblp:conf/kdd/WangDDZNTH13 fatcat:hqdughl2ubgp5d6quhl32yn7ju

Probabilistic Measures for Interestingness of Deviations - A Survey

Adnan Masood, Sofiane Ouaguenouni
2013 International Journal of Artificial Intelligence & Applications  
Association rule mining has long being plagued with the problem of finding meaningful, actionable knowledge from the large set of rules.  ...  With such data profusion, the core knowledge discovery problem becomes efficient data retrieval rather than simply finding heaps of information.  ...  Table #1 provides a complete list of Probability-Based Objective Interestingness Measures for Rules as shown in Geng's paper.  ... 
doi:10.5121/ijaia.2013.4201 fatcat:3bwuzx3egbc7xk62g3zosizrcu

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning [article]

Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen
2019 arXiv   pre-print
Reasoning is essential for the development of large knowledge graphs, especially for completion, which aims to infer new triples based on existing ones.  ...  We also evaluate the efficiency of rule learning and quality of rules from IterE compared with AMIE+, showing that IterE is capable of generating high quality rules more efficiently.  ...  ACKNOWLEDGMENTS This work is funded by NSFC91846204/61473260, national key research program YS2018YFB140004, Alibaba CangJingGe(Knowledge Engine) Research Plan and SNF Sino Swiss Science and Technology  ... 
arXiv:1903.08948v1 fatcat:ckznkgevdrf5tovpmc3gjbhmlm

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen
2019 The World Wide Web Conference on - WWW '19  
Reasoning is essential for the development of large knowledge graphs, especially for completion, which aims to infer new triples based on existing ones.  ...  We also evaluate the efficiency of rule learning and quality of rules from IterE compared with AMIE+, showing that IterE is capable of generating high quality rules more efficiently.  ...  Knowledge graph reasoning (KGR) can infer new knowledge based on existing ones and check knowledge consistency. It is attracting research interest and is important for completing and cleaning up KGs.  ... 
doi:10.1145/3308558.3313612 dblp:conf/www/ZhangPWCZZBC19 fatcat:argc6zq55rhtfcbzmajdhrc76e
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