0
Abstract - not practical, hard to understand, difficult
(Sentence: The atomic theory of matter is too abstract for most people.)
Index - a thing that points out or shows, a sign, token, or indication
(Sentence: A person's face is often an index of his mood.)
In summary, these two words are not related.
If your question refers to the index and abstract as sources of information, then...
they are both reference works that reveal detailed information about resources. Indexes usually provide authors, titles or subjects of publications without comment, and abstracts offer a brief summary of content.
Still curious? Ask our experts.
Chat with our AI personalities
Taiga
Ezra
BlakeIndexing involves assigning keywords or subject terms to a document to make it searchable, while abstracting involves summarizing the content of a document in a concise format. In other words, indexing helps in organizing and retrieving information efficiently, while abstracting provides a brief overview of the main points of a document.
Add your answer:
Earn +20 pts
Difference between pre coodinate and post coodinate indexing?
Pre-coordinate indexing involves assigning specific terms to documents before they are indexed, while post-coordinate indexing involves assigning terms after the documents are indexed based on their content. Pre-coordinate indexing can be more time-consuming but offers greater control over terms, while post-coordinate indexing allows for more flexibility in adding and changing terms.
In Indexing which data fields are required in iperms?
In iperms, the required data fields for indexing typically include unique identifier (such as SSN or employee ID), document type, document title, document date, and document source. Additional fields like author, subject, and keywords may be included for more detailed indexing and retrieval purposes.
What is the difference between a candidate key an a secondary key?
A candidate key is a unique key that can uniquely identify each record in a database table, whereas a secondary key is a non-unique key used for data retrieval and indexing purposes. Candidate keys can be chosen as the primary key for the table, while secondary keys provide alternate ways to access and organize the data.
What data fields are required in indexing?
The specific data fields required for indexing can vary depending on the indexing system being used. However, some common data fields that are typically required include document title, document content, author or creator, date created or published, and keywords or tags. These data fields help organize and retrieve the indexed information effectively.
In iPERMS Indexing which data fields are required?
For iPERMS Indexing, the data fields that are commonly required include the Soldier's name, Social Security Number (SSN), document type, document date, and document title. These fields are important for correctly identifying and categorizing documents within the system.
