Interactive Quiz Over Library Science

RDA stands for Resource Description and Access. This is a standard for descriptive cataloging and metadata created by the Joint Steering Committee for Development of RDA. It provides guidelines and instructions for creating bibliographic records in libraries and other cultural institutions. RDA aims to provide a flexible framework for describing and accessing various types of resources, including both traditional and digital materials.

KQML stands for Knowledge Query Management Language. It is a communication language used in artificial intelligence systems to facilitate the exchange of knowledge and information between different agents. KQML allows agents to send queries, make requests, and receive responses in a standardized format, enabling interoperability and collaboration in multi-agent systems.

An invisible college refers to a group of like-minded individuals who come together to share their knowledge and experiences. They may not necessarily be recognized or known by the general public, hence the term "invisible." This term is often used in the context of academia or scientific research, where experts collaborate and exchange ideas outside of formal institutions. The term emphasizes the informal and collaborative nature of the group, as well as their shared expertise and common goals.

DAI stands for Distributed Artificial Intelligence. This refers to the field of study and research that focuses on developing intelligent systems and algorithms that can operate across multiple devices or nodes in a network. Distributed AI aims to create intelligent systems that can collaborate, communicate, and share information with each other to solve complex problems. This involves the use of distributed computing and communication technologies to enable the exchange of data and knowledge among different AI agents or nodes in a network.

The Instructive Phase is not involved in the development of a database. The other phases mentioned, such as the Definition Phase, Implementation Phase, and Operational Phase, are all essential stages in the development process. However, the Instructive Phase is not a recognized phase in database development. It is likely that this phase was either incorrectly included as an option or is a term not commonly used in the context of database development.

ISI launched "Web of Science" in 1997. This indicates that the Web of Science platform was introduced by ISI (Institute for Scientific Information) in the year 1997.

DAE stands for Distributed Agents Environment. This refers to an environment where multiple agents, which are software programs or entities, are distributed across different systems or networks. These agents can communicate and collaborate with each other to perform tasks or solve problems. The term "Distributed" indicates the distribution of these agents across different locations, while "Agents" refers to the autonomous and intelligent nature of these software entities. The term "Environment" signifies the overall context or infrastructure in which these agents operate.

CMAS stands for Cooperative Multi-Agent system. This system refers to a group of autonomous agents that work together to achieve a common goal. Each agent in the system has its own capabilities and knowledge, and they communicate and cooperate with each other to solve complex problems. This type of system is commonly used in fields such as robotics, artificial intelligence, and distributed computing.

Data Description is not a step of DRM (Data Resource Management). DRM involves various steps such as Data Definition, Data Modelling, and Data Standards. Data Description refers to the process of providing detailed information about the data, including its structure, format, and characteristics. However, it is not considered a separate step in DRM.

AOSE stands for Agent Oriented Software Engineering. This field of software engineering focuses on developing software systems that are composed of autonomous agents, which are capable of making decisions and interacting with each other to achieve a common goal. The agents in AOSE are designed to have their own knowledge, goals, and behaviors, and they can communicate and cooperate with other agents to solve complex problems. AOSE is used in various domains such as multi-agent systems, intelligent systems, and distributed systems.