Structured knowledge Systems: Systems for organizing structured knowledge in a repository where it can be accessed throughout the organization.
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A structured knowledge system has well-defined rules and formats for organizing and storing information, making it easily searchable and retrievable. In contrast, a semi-structured knowledge system has some predefined rules but also allows for flexibility and subjective interpretation in organizing and storing information.
A database is a structured collection of data stored on a computer system, organized in a way that allows for efficient retrieval. Information, on the other hand, refers to data that has been processed or interpreted to give it meaning and context. In essence, information is derived from data stored in a database through analysis and interpretation.
A DBMS (Database Management System) is a software that manages databases and provides functionalities to store, retrieve, and update data. An RDBMS (Relational Database Management System) is a type of DBMS that stores data in a structured way using tables with relationships between them. RDBMS enforces the relational model, which allows for data integrity through constraints and supports SQL for querying data.
Sybase is a specific product and company that provides relational database management systems (RDBMS). RDBMS is a general term for a type of database management system that stores data in a structured format using tables. Sybase is one of the many vendors that offer RDBMS solutions.
A Decision Support System (DSS) is a computer-based tool that helps users make decisions using data analysis and modeling techniques. An Expert System is a computer program that mimics the decision-making abilities of a human expert in a particular field. Expert systems rely on rule-based reasoning and knowledge representation to provide solutions to specific problems.
Object-Oriented Database Management System (OODBMS) stores data in the form of objects with attributes and methods, allowing for complex data structures and relationships. Traditional Database Management System (DBMS) stores data in structured tables with rows and columns, focusing on relational data models. OODBMS is better suited for applications with complex data structures and relationships, while DBMS is more widely used for simpler data storage and retrieval needs.