Q. Why are situations where users need to explore data with ad hoc queries more challenging?

View solution

Q. How does the involvement of IT-skilled personnel affect the turnaround time in exploring data with ad hoc queries?

View solution

Q. What are the important aspects of the end-user data access problem?

View solution

Q. How does the problem of data access become more challenging in Big Data scenarios?

View solution

Q. What is the goal of the Optique project regarding data access for Big Data?

View solution

Q. What does OBDA stand for in the context of data access?

View solution

Q. How does OBDA address the bottleneck in query translation for end-users?

View solution

Q. What challenges do end-users typically face when dealing with Big Data?

View solution

Q. How does the involvement of IT experts affect the turnaround time for information requests?

View solution

Q. What dimensions of data make data access challenging in Big Data scenarios?

View solution

Q. What is the main idea behind ontology-based data access (OBDA)?

View solution

Q. Who typically formulates queries using the terms defined by the ontology in OBDA?

View solution

Q. What does OBDA stand for in the context of data access?

View solution

Q. What is one advantage of using OBDA for end-user data access?

View solution

Q. What does the ontology in OBDA help achieve?

View solution

Q. How does OBDA make the relationship between ontology concepts and relational data explicit?

View solution

Q. How does an ontology help in query answering in OBDA?

View solution

Q. What does the term "GAV" stand for in the context of OBDA mappings?

View solution

Q. How are mappings used to connect ontology vocabulary with the database schema?

View solution

Q. What is a prerequisite for OBDA technology?

View solution