Erd For UC Online Requirement: Each Book Has An ID Title Pub
Erd For Uc Onlinerequirement Each Book Has An Id Title Publication
ERD FOR UC Online Requirement : Each book has an id, title, publication date, publisher, ISBN, functional category, page count, price (publisher), and product description. Please make ‘id’ for ‘BookID’. All columns name in lower case. Price is missing. Please remove table name ‘Book’ in columns in same table. Like BookTitle to title. Please edit int(100) to just int. and varchar(100) to varchar.
There are 3 categories of book: fiction, non-fiction, and specialty. All books must have a category, so relationships are required (|). A book must belong to one category.
An author can write one or more books, so the relationship between author and books is one-to-many (|). A musician can be a solo artist, part of a group, or both. Do we need a group entity where an artist might be in a group? Assume to find all artists in a same group, how can we do this? The relationship between musician and group is many-to-many (M:M). An author can also be associated with one or more publishers, but the relationship details are missing; it requires a connecting entity or foreign key to establish this.
A musician/group/act can be associated with one or more music houses, indicating a many-to-many relationship (M:M). An author’s book can have one or more editions; do we need a separate Book_Edition entity? Many ISBNs can be associated with a publisher, but only one ISBN per medium form. Should ISBN be a primary key? Entities may have multiple primary keys or a composite primary key for different mediums.
UCOnline needs to keep track of user ratings for each item sold: books, songs, albums. Each rating is from 1-5, with 1 as Dislike and 5 as Awesome. A user can rate a particular item at a given time; the same user cannot rate the same item multiple times unless there are different editions, which can be rated separately.
Each user is identified by a unique ID and has name, gender, age, and location. This suggests a User entity with relationships to Ratings and Items. Users can send communication requests to other users with timestamps, and the requests can be accepted or ignored. Accepted users become ‘book buddies.’ If ignored, the request can be resent. Tracking request timestamps, results, and acceptance timestamps indicates a CommunicationRequest entity connected to User.
Paper For Above instruction
The objective of this paper is to develop a comprehensive Entity-Relationship Diagram (ERD) for an online bookstore and multimedia platform, incorporating entities such as books, authors, musicians, publishers, editions, ratings, users, and communication networks. The ERD aims to accurately represent relationships, cardinalities, and data attributes necessary for the database system to operate efficiently and support business requirements.
At the heart of the ERD is the Book entity, which includes attributes such as BookID, title, publication date, publisher, ISBN, functional category, page count, price, and product description. Notably, the BookID serves as a primary key ensuring unique identification for each book. The functional category of a book is constrained to three types: fiction, non-fiction, and specialty, establishing a required relationship with the Category entity. This relationship is mandatory ('|') because every book must belong to exactly one category, ensuring data integrity and facilitating category-based queries.
Authors are linked to books via a one-to-many relationship, indicating that an author can write multiple books, but each book is authored by at least one author. The ERD considers potential relationships between authors and publishers, highlighting a many-to-many relationship since authors may work with multiple publishers, and publishers may have multiple authors. To model this, an associative entity, probably named Author_Publisher, is necessary to track these associations explicitly.
Similarly, musicians can be either solo artists, belong to groups, or both. To represent this, separate entities for Artist and Group are advisable. A many-to-many relationship exists between artists and groups, as an artist can be part of multiple groups, and each group comprises multiple artists. Finding all artists within a group involves querying the Group-Artist association. The ERD must also capture that a musician or artist can be associated with multiple music houses, reflecting a many-to-many relationship.
The platform deals with various editions of books, songs, and albums, recognizing that multiple versions exist, such as EPs, LPs, CDs, DVDs, etc. To manage this complexity, a separate Book_Edition entity can be introduced with attributes like EditionID, edition type, publication date, and format. Each edition can have its ISBN, which is unique per medium. The ISBN attribute is critical, and although many ISBNs relate to each publisher, only one per medium, suggesting that ISBN should be the primary key, possibly with a composite key incorporating the medium type.
A key feature of the system is tracking user ratings for items purchased or listened to. Users rate items, including books, songs, and albums, on a scale from 1 to 5. The ERD must model a User entity with attributes such as UserID, name, gender, age, and location. The Ratings entity connects users with items and tracks rating values, timestamps, and possibly the edition of the item rated, considering that users can rate multiple editions separately.
Furthermore, a social network component is incorporated, where users can send communication requests to one another. The CommunicationRequest entity captures sender and receiver user IDs, timestamps for requests sent and answered, and the result of the request (accepted or ignored). Once accepted, users become 'book buddies.' This design facilitates social interaction tracking and enhances user engagement features.
The ERD must reflect the cardinalities correctly: mandatory relationships (represented by '|') ensure essential links such as every book belonging to a category, while optional relationships ('o') accommodate optional connections, like authors affiliated with multiple publishers or artists in multiple groups. This detailed design supports complex business rules, ensures data normalization, and provides a robust foundation for implementing an online multimedia bookstore platform that integrates books, music, ratings, social networks, and publishing details seamlessly.