SLFTD: A Subjective Logic Based Framework for Truth Discovery

التفاصيل البيبلوغرافية
العنوان: SLFTD: A Subjective Logic Based Framework for Truth Discovery
المؤلفون: Vladimir A. Oleshchuk, Danchen Zhang, Vladimir Zadorozhny
المصدر: Communications in Computer and Information Science ISBN: 9783030302771
ADBIS (Short Papers and Workshops)
بيانات النشر: Springer International Publishing, 2019.
سنة النشر: 2019
مصطلحات موضوعية: 050101 languages & linguistics, education.field_of_study, business.industry, Computer science, 05 social sciences, Population, 02 engineering and technology, Sensor fusion, Machine learning, computer.software_genre, Discriminative model, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, Artificial intelligence, business, Subjective logic, education, Categorical variable, computer, Reliability (statistics), Generative grammar, Data integration
الوصف: Finding truth from various conflicting candidate values provided by different data sources is called truth discovery, which is of vital importance in data integration. Several algorithms have been proposed in this area, which usually have similar procedure: iteratively inferring the truth and provider’s reliability on providing truth until converge. Therefore, an accurate provider’s reliability evaluation is essential. However, no work pays attention to “how reliable this provider continuously providing truth”. Therefore, we introduce subjective logic, which can record both (1) the provider’s reliability of generating truth, and (2) reliability of provider continuously doing so. Our proposed methods provides a better evaluation for data providers, and based on which, truth are discovered more accurately. Our framework can handle both categorical and numerical data, and can identify truth in either a generative or discriminative way. Experiments on two popular real world datasets, Book and Population, validates that our proposed subjective logic based framework can discover truth much more accurately than state-of-art methods.
ردمك: 978-3-030-30277-1
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0d10667a416407d12633de2585ca6261
https://doi.org/10.1007/978-3-030-30278-8_13
حقوق: OPEN
رقم الأكسشن: edsair.doi...........0d10667a416407d12633de2585ca6261
قاعدة البيانات: OpenAIRE