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Knowledge vault

Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang
2014 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14  
Here we introduce Knowledge Vault, a Web-scale probabilistic knowledge base that combines extractions from Web content (obtained via analysis of text, tabular data, page structure, and human annotations  ...  To increase the scale even further, we need to explore automatic methods for constructing knowledge bases.  ...  CONCLUSIONS In this paper we described how we built a Web-scale probabilistic knowledge base, which we call Knowledge Vault.  ... 
doi:10.1145/2623330.2623623 dblp:conf/kdd/0001GHHLMSSZ14 fatcat:5kwa4j623bcyjmvktskea353my

A Experiência do Usuário nos mecanismos de busca Knowledge Graph e o Knowledge Vault

Caio Saraiva Coneglian, Ana Maria Jensen Ferreira da Costa Ferreira, Silvana Drumond Monteiro, Silvana Aparecida Borsetti Gregório Vidotti, José Eduardo Santarem Segundo
2018 Informação Profissões  
Resultados: Relacionou-se em um quadro a Experiência do Usuário com o Knowledge Graph e Knowledge Vault, utilizando as facetas da Experiência do Usuário.  ...  Entretanto, necessita-se de pesquisas que analisem como algumas tecnologias de mecanismos de busca na Web estão influenciando a Experiência do Usuário.  ...  O primeiro artigo publicado tratando dessa ferramenta foi no ano de 2014, de Dong et al., entitulado de Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion (Knowledge Vault: uma  ... 
doi:10.5433/2317-4390.2017v6n2p35 fatcat:67p4rv7e7fayxf7q55ynuat63m

Knowledge Fusion Methods: A Survey

Xue-lu YU, Lin QIAO
2017 DEStech Transactions on Computer Science and Engineering  
Knowledge fusion is to organize knowledge into a unified form from disparate sources in a highly dynamic way.  ...  We also discussed the advantages and disadvantages of different kind of knowledge fusion patterns and methods.  ...  [20] proposed a multi-source knowledge fusion method based on supervised learning and built a large scale Knowledge Vault (KV) based on it.  ... 
doi:10.12783/dtcse/smce2017/12440 fatcat:vkcdck5syzervov7s6kd25cicq

Constructing and Mining Web-scale Knowledge Graphs

Evgeniy Gabrilovich, Nicolas Usunier
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
Knowledge Vault [Dong et al., 2014]) • No calibration of scores like probabilities 127 SIGIR 2016 Tutorial on Constructing and Mining Web-scale Knowledge Graphs, Pisa, Italy, July 17, 2016 Area under the  ...  "From Freebase to WikiData: The Great Migration", Tanon et al., WWW 2016 Using Google Search and the Knowledge Vault to match Freebase assertions to potential citations Slides: http://bit.ly/freebase-to-wikidata-slides  ... 
doi:10.1145/2911451.2914807 dblp:conf/sigir/GabrilovichU16 fatcat:476dnzcsyrf4zivwl3ere66bau

Generating Actionable Knowledge from Big Data

Xiu Susie Fang
2015 Proceedings of the 2015 ACM SIGMOD on PhD Symposium - SIGMOD '15 PhD Symposium  
Confidence scores are attached to the resulting knowledge, which can be used to further improve the knowledge fusion results.  ...  Tremendous efforts have been contributed on mining large-scale data on the Web and constructing comprehensive knowledge bases (KBs).  ...  The authors adapt three existing data fusion techniques, namely VOTE, ACCU and POPACCU, and scale them up by using a MapReduce based framework for knowledge fusion.  ... 
doi:10.1145/2744680.2744687 dblp:conf/sigmod/Fang15 fatcat:vzjbiudbtbhlfil5rbcabwa6ba

A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead [article]

Ali Hur, Naeem Janjua, Mohiuddin Ahmed
2021 arXiv   pre-print
As an outcome, enterprises are putting their effort into constructing and maintaining knowledge graphs to support various downstream applications. Manual approaches are too expensive.  ...  Structuring this data into a knowledge graph enables multitudes of intelligent applications such as deep question answering, recommendation systems, semantic search, etc.  ...  Zhao, "Knowledge graphs completion via [2] X. Dong et al., "Knowledge vault: A web-scale approach to probabilistic reasoning," Inf. Sci.  ... 
arXiv:2110.08012v2 fatcat:q6utzgjahfehpftol3dttgolui

FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph [article]

Majid Asgari-Bidhendi, Behrooz Janfada, Behrouz Minaei-Bidgoli
2020 arXiv   pre-print
Then, the system uses knowledge fusion techniques with minimal intervention of human experts to integrate and filter the proper knowledge instances, extracted by each module.  ...  In this paper, we present a knowledge base population system for the Persian language, which extracts knowledge from unlabeled raw text, crawled from the Web.  ...  Fixed Ontology, Web-scale: Approaches which extract information from the entire web, but use a fixed ontology (schema) such as PROSPERA [23] , DeepDive [24] , Knowledge Vault [14] , and Never-Ending  ... 
arXiv:2005.01879v1 fatcat:6dgj5ch6jbfd3kw7omblxblwfe

Knowledge-based trust

Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang
2015 Proceedings of the VLDB Endowment  
We propose a way to distinguish errors made in the extraction process from factual errors in the web source per se, by using joint inference in a novel multi-layer probabilistic model.  ...  We propose a new approach that relies on endogenous signals, namely, the correctness of factual information provided by the source. A source that has few false facts is considered to be trustworthy.  ...  The fact extraction process we use is based on the Knowledge Vault (KV) project [10] .  ... 
doi:10.14778/2777598.2777603 fatcat:k5smdqyinrcgdaknwxmbtlytpy

Knowledge Graphs and Knowledge Networks: The Story in Brief [article]

Amit Sheth, Swati Padhee, Amelie Gyrard
2020 arXiv   pre-print
Knowledge Graphs (KGs) represent real-world noisy raw information in a structured form, capturing relationships between entities.  ...  there is a need to represent the changing nodes, attributes, and edges over time.  ...  These approaches support extraction from semi-structured and structured data (DBpedia, YAGO), unstructured data (NELL), HTML web pages, books, and Microdata annotations on the Web (Google's Knowledge Vault  ... 
arXiv:2003.03623v1 fatcat:zle7g626mzeqrkmobgrr6xtfae

KnowMore – knowledge base augmentation with structured web markup

Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Oliver Lehmberg, Dominique Ritze, Stefan Dietze, Claudia d'Amato, Agnieszka Lawrynowicz, Jens Lehmann
2018 Semantic Web Journal  
A comparison with existing data fusion baselines demonstrates superior performance of our approach when applied to Web markup data.  ...  We present a novel data fusion approach which addresses these issues through a combination of entity matching and fusion techniques geared towards the specific challenges associated with Web markup.  ...  Dong et al. proposed 'Knowledge Vault' [7] , a framework for extracting triples from webpages and aims at constructing a KB from Web data. Dutta et al.  ... 
doi:10.3233/sw-180304 fatcat:7qd7ozt5fjfrzmf7gckw3dqxly

Knowledge graph refinement: A survey of approaches and evaluation methods

Heiko Paulheim, Philipp Cimiano
2016 Semantic Web Journal  
The result are large-scale knowledge graphs that try to make a good trade-off between completeness and correctness.  ...  In this article, we provide a survey of such knowledge graph refinement approaches, with a dual look at both the methods being proposed as well as the evaluation methodologies used.  ...  Generally, a crucial issue with human computation is the size of web scale knowledge graphs.  ... 
doi:10.3233/sw-160218 fatcat:uiicnh2nbnev5j4ixum23hzila

A Review of Relational Machine Learning for Knowledge Graphs

Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich
2016 Proceedings of the IEEE  
To this end, we also discuss Google's Knowledge Vault project as an example of such combination.  ...  In this paper, we provide a review of how such statistical models can be "trained" on large knowledge graphs, and then used to predict new facts about the world (which is equivalent to predicting new edges  ...  A follow-up study by the authors [146] developed several approaches for solving the knowledge fusion problem, and applied them to estimate the trustworthiness of facts in the Knowledge Vault (cf.  ... 
doi:10.1109/jproc.2015.2483592 fatcat:uk6xvh5xljgf7aytfadzwzncsi

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases [article]

Gerhard Weikum, Luna Dong, Simon Razniewski, Fabian Suchanek
2021 arXiv   pre-print
Over the last decade, large-scale knowledge bases, also known as knowledge graphs, have been automatically constructed from web contents and text sources, and have become a key asset for search engines  ...  This machine knowledge can be harnessed to semantically interpret textual phrases in news, social media and web tables, and contributes to question answering, natural language processing and data analytics  ...  It is a great pleasure and honor to have such wonderful colleagues in our research community.  ... 
arXiv:2009.11564v2 fatcat:vh2lqfmhhbcwpf6dcsej3hhvgy

GrandBase: generating actionable knowledge from Big Data

Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Anne H.H. Ngu, Yihong Zhang
2017 PSU Research Review  
Purpose -This paper aims to propose a system for generating actionable knowledge from Big Data and use this system to construct a comprehensive knowledge base (KB), called GrandBase.  ...  In addition, a graph-based approach to conduct better truth discovery for multi-valued predicates is also proposed.  ...  We will further incorporate the multi-valued knowledge fusion approach into our system.  ... 
doi:10.1108/prr-01-2017-0005 fatcat:qr2r4f73ffcfjah7oocgsscqp4

Knowledge Harvesting: Achievements and Challenges [chapter]

Gerhard Weikum, Johannes Hoffart, Fabian Suchanek
2019 Lecture Notes in Computer Science  
This article gives an overview on knowledge harvesting: automatically constructing large high-quality knowledge bases from Internet sources.  ...  future research. • entities like people, places, organizations, products, events (e.g., SteveJobs, the GoldenGateBridge, the Pixar company, the iPhone7, the Woodstock Concert), • the semantic classes to  ...  Also, HTML tables in Web pages can be tapped for fact harvesting in a similar vein; this has been successfully pursued, for example, by the NELL [41] and Knowledge Vault [15] projects.  ... 
doi:10.1007/978-3-319-91908-9_13 fatcat:o6hjmwwghzdcdphuldrdghvttm
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