The role of vocabularies to the access and reuse of Big Data
DOI:
https://doi.org/10.5433/1981-8920.2021v26n4p146Keywords:
Big Data, Vocabularies, Structured data, Unstructured data, Linked Open DataAbstract
Objective: Similar to the “information explosion”, the Big Data phenomenon has been increasingly the object of CI/OC. How to discover, access, process and reuse the huge and growing amount of data that is continuously made available on the web by our society? In particular, how to deal with the so-called “unstructured data”, textual documents, which have always been the object of CI/OC?
Methodology: Broad spectrum theories such as Ontology and Semiotics were used to analyze data as an essential element of Big Data, especially “unstructured data”.
Results: From the analysis of several data definitions, a given is identified as part of already known logical and semiotic schemes, the propositions. One piece of data is found together with others, forming data sets. Data sets are actually sets of propositions. These are present in what is known as structured data - tables in relational databases or spreadsheets. Textual documents also contain sets of propositions. Structured data is compared to “unstructured data”.
Conclusions: Although at the limit, both contain propositions and can be equivalent, as sets, structured data are expressed and perceived as a whole, sets of "unstructured data" are procedural, expressed sequentially, which makes the identification of unstructured data more difficult in text documents for processing by machines.
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