KWIC index entries consist of A. Key word B. Context C. Contest D. Concept E. Identification/location code Choose the correct answer from the options given below:
A, B and E only
A KWIC index, which stands for Key Word In Context, is a type of index commonly used for indexing documents, especially technical papers, reports, and books. It is designed to allow users to find documents based on the important words (keywords) they contain. Each entry in a KWIC index focuses on a keyword found within the document's title or text, presenting it along with the surrounding words (context) and a reference to the document's location.
A standard KWIC index entry typically consists of specific parts that help users quickly scan and locate relevant information. Let's look at the components mentioned in the options:
Based on the structure and purpose of a KWIC index, the essential elements that form an entry are the Key word, the surrounding Context, and the Identification/location code. The entry is typically displayed with the context wrapping around the keyword, followed by the location code. For example:
...words of the <Key Word> phrase in the text... [Location Code]
Therefore, the correct components are Key word (A), Context (B), and Identification/location code (E).
Let's evaluate the given options based on our understanding of KWIC index components:
| Option | Components Included | Correctness |
|---|---|---|
| 1 | A, C and D only (Key word, Contest, Concept) | Incorrect (Includes Contest and Concept, excludes Context and Identification/location code) |
| 2 | A, B and E only (Key word, Context, Identification/location code) | Correct (Includes Key word, Context, and Identification/location code) |
| 3 | B, D and E only (Context, Concept, Identification/location code) | Incorrect (Excludes Key word, includes Concept) |
| 4 | C, D and E only (Contest, Concept, Identification/location code) | Incorrect (Includes Contest and Concept, excludes Key word and Context) |
Option 2 correctly identifies the Key word, Context, and Identification/location code as the components of a KWIC index entry.
| Component | Description | Part of KWIC Entry? |
|---|---|---|
| Key word | Significant term indexed | Yes (A) |
| Context | Surrounding text snippet | Yes (B) |
| Contest | Not relevant | No (C) |
| Concept | Broader idea (not a structural part) | No (D) |
| Identification/location code | Reference to source document/location | Yes (E) |
KWIC indexing was one of the earliest automated methods for creating indexes, developed by Hans Peter Luhn at IBM in the late 1950s. Its simplicity made it highly suitable for computer processing at the time. While less common as a primary indexing method today compared to full-text searching or more sophisticated indexing techniques, the underlying principle of showing a term within its immediate surroundings remains valuable in various information retrieval contexts.
Variations like KWOC (Key Word Out of Context) also exist, where the keyword is listed on the left, followed by the entire title or phrase it appeared in, and then the location code. The core idea is to use keywords to organize and access information efficiently.
Which of the following belongs to the category of Assigned Indexing?
A. KWOC
B. POPSI
C. SCI
D. PRECIS
E. Chain Indexing
Choose the correct answer from the options given below:
Which of the following is not a form of index generally?
Which one of the following is not a vocabulary control?
Which one of the following formats is followed in PRECIS to prepare index entries?
Sears list of Subject Headings include:
A. Narrow Term
B. Related term
C. Broader Term
D. Nearer Term
E. Important Term.
Choose the most appropriate answer from the options given below: