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Coarse-to-Fine Entity Alignment for Chinese Heterogeneous Encyclopedia Knowledge Base
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In: Future Internet; Volume 14; Issue 2; Pages: 39 (2022)
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Abstract:
Entity alignment (EA) aims to automatically determine whether an entity pair in different knowledge bases or knowledge graphs refer to the same entity in reality. Inspired by human cognitive mechanisms, we propose a coarse-to-fine entity alignment model (called CFEA) consisting of three stages: coarse-grained, middle-grained, and fine-grained. In the coarse-grained stage, a pruning strategy based on the restriction of entity types is adopted to reduce the number of candidate matching entities. The goal of this stage is to filter out pairs of entities that are clearly not the same entity. In the middle-grained stage, we calculate the similarity of entity pairs through some key attribute values and matched attribute values, the goal of which is to identify the entity pairs that are obviously not the same entity or are obviously the same entity. After this step, the number of candidate entity pairs is further reduced. In the fine-grained stage, contextual information, such as abstract and description text, is considered, and topic modeling is carried out to achieve more accurate matching. The basic idea of this stage is to use more information to help judge entity pairs that are difficult to distinguish using basic information from the first two stages. The experimental results on real-world datasets verify the effectiveness of our model compared with baselines.
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Keyword:
Chinese knowledge base; coarse-to-fine; entity alignment
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URL: https://doi.org/10.3390/fi14020039
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| 2 |
Neural-based Knowledge Transfer in Natural Language Processing
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| 3 |
A Navigation Tool for Exploring Semantic Web Corpora
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In: Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks ; https://hal.univ-lorraine.fr/hal-03485155 ; Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks, Oct 2021, Virtual conference, France (2021)
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| 4 |
A Semantic Web Navigation Tool for Exploring the Henri Poincaré Correspondence Corpus
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In: Proceedings of the International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage ; https://hal.univ-lorraine.fr/hal-03406713 ; Proceedings of the International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage, Antonis Bikakis, Roberta Ferrario, Stéphane Jean, Béatrice Markhoff, Alessandro Mosca, Marianna and Nicolosi Asmundo, Sep 2021, Bolzano, Italy (2021)
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| 5 |
Coupler syntaxe et sémantique dans une même base de connaissances linguistiques
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In: https://hal.archives-ouvertes.fr/hal-03552622 ; [Rapport de recherche] Laboratoire Parole et Langage – Université d’Aix-Marseille. 2021 (2021)
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| 6 |
ПРОТОТИП БАЗЫ АКТИВНЫХ ЗНАНИЙ НА ОСНОВЕ ВЫЧИСЛИТЕЛЬНЫХ МОДЕЛЕЙ ... : ACTIVE KNOWLEDGE BASE PROTOTYPE ON THE BASIS OF COMPUTATIONAL MODELS ...
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| 7 |
Development of Knowledge Base Using Human Experience Semantic Network for Instructive Texts
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In: Applied Sciences ; Volume 11 ; Issue 17 (2021)
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| 8 |
ОБ ОДНОМ ПОДХОДЕ К ФОРМИРОВАНИЮ БАЗЫ ЗНАНИЙ ДЛЯ КЛАССИФИКАЦИИ ОБЪЕКТОВ ... : DESCRIPTION OF AN APPROACH TO THE FORMATION OF THE KNOWLEDGE BASE FOR THE CLASSIFICATION OF OBJECTS ...
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| 9 |
Error Detection in a Large-Scale Lexical Taxonomy
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In: Information ; Volume 11 ; Issue 2 (2020)
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| 10 |
Introducing External Knowledge to Answer Questions with Implicit Temporal Constraints over Knowledge Base
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In: Future Internet ; Volume 12 ; Issue 3 (2020)
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| 12 |
RuBQ: A Russian Dataset for Question Answering over Wikidata
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In: Lect. Notes Comput. Sci. ; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020)
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| 13 |
Changes to teachers' knowledge base: do they make a difference to students' writing outcomes?
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In: Faculty of Law, Humanities and the Arts - Papers (2020)
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| 14 |
Diseño e implementación de una base de conocimiento terminológico sobre enfermedades raras
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In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0718-5758, Nº. 49, 2020, pags. 1-20 (2020)
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| 15 |
Presente y futuro de la base de conocimiento terminológica EcoLexicon
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In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0717-1285, Nº. 49, 2020, pags. 174-202 (2020)
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| 16 |
ASSESSING ENGLISH PRE-SERVICE TEACHERS’ KNOWLEDGE BASE OF TEACHING: LINKING KNOWLEDGE AND SELF-PORTRAYAL
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In: TEFLIN Journal, Vol 31, Iss 1, Pp 108-138 (2020) (2020)
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| 17 |
NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction
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In: Wright, Dustin. (2019). NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction. UC San Diego: Computer Science and Engineering. Retrieved from: http://www.escholarship.org/uc/item/3410q7zk (2019)
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| 18 |
Использование фреймового моделирования в процессе изучения английского языка ... : Use of Frame Modeling in Studying English ...
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| 19 |
From simplified text to knowledge representation using controlled natural language
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| 20 |
JudaicaLink: A Knowledge Base for Jewish Culture and History ... : JudaicaLink: A Knowledge Base for Jewish Culture and History ...
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