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Building Structured Databases of Factual Knowledge from Massive Text Corpora

Proceedings of the 2017 ACM International Conference on Management of Data, 2017
In today's computerized and information-based society, people are inundated with vast amounts of text data, ranging from news articles, social media post, scientific publications, to a wide range of textual information from various domains (corporate reports, advertisements, legal acts, medical reports). To turn such massive unstructured text data into
Meng Jiang   +3 more
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Building structure-oriented numerical factual databases: The Beilstein example

World Patent Information, 1987
Abstract The generation of one of the world's largest organic chemical databases, the Beilstein Database, is described. This project started in October 1983 and will result in a first online version by late 1987. The contents of the database and its data structure are based on the Beilstein Handbook which so far has been published in over 300 volumes.
C. Jochum
semanticscholar   +4 more sources

An exploration into the conceptual, factual and biblical significance of names

World Journal of Advanced Research and Reviews, 2021
Globally, works of literature have significantly revealed that everything that existed has a name. The name has significant importance in realizing the sustainable identity, purpose, performance, or destiny of what is named.
Felix Chukwuma Aguboshim
semanticscholar   +1 more source

Registration of substances in the Gmelin Factual Database

Analytica Chimica Acta, 1992
Abstract In the early stages of the development of the Gmelin Factual Database it was shown that coordination compounds in inorganic chemistry cannot be limited to coordination numbers up to 4; so a methodology was developed which enables the registration of structures in which the central atom can have a coordination number up to 20 allowing for up ...
B. Roth, R. Deplanque, H.-U. Böhmer
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