Question
a.
Through deliberate interventions by external agents.
b.
By remaining static and unaffected by data processing.
c.
Through seamless integration of new knowledge tokens.
d.
By discarding existing ontologies and replacing them.
Posted under Big Data Computing
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. How do ontologies naturally change in the KO ecosystem?
Similar Questions
Discover Related MCQs
Q. What is one of the factors that can influence the fitness of a KO in the ecosystem?
View solution
Q. How does the age of assertions in a KO's knowledge body affect its fitness?
View solution
Q. What is the proportion between the parts of knowledge tokens that influences a KO's fitness?
View solution
Q. What property of a knowledge token can affect its value?
View solution
Q. Why does a token become less valuable over its lifetime in the environment?
View solution
Q. How can the quality of an ontology be assessed as a dynamic optimization problem?
View solution
Q. What is the essence of adequate understanding of the changes in the world reflected in Big Data?
View solution
Q. What is Big Data considered to be a fine-grained reflection of?
View solution
Q. Why is the demand for effective and efficient use of Big Data in industries enormous?
View solution
Q. What approach was offered to help understand Big Data in a way that balances effectiveness and efficiency?
View solution
Q. What is one of the major recommendations for achieving a balance in processing data semantics?
View solution
Q. What approach is recommended for processing Big Data and its semantics?
View solution
Q. What do the genomes and bodies of Knowledge Organisms (KOs) describe?
View solution
Q. How do ontologies evolve in the proposed ecosystem of environmental contexts?
View solution
Q. What are the four characteristics that characterize Big Data problems?
View solution
Q. Which V refers to the large amount of data generated by individuals, groups, and organizations?
View solution
Q. Why is the concept of variability important in Big Data analysis?
View solution
Q. What is one of the challenges in managing Big Data, especially in the field of science?
View solution
Q. Why is it difficult to identify unique architectures and solutions adaptable to all possible applicative areas in Big Data?
View solution
Q. What makes it almost impossible to identify unique architectures and solutions for Big Data?
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!
