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indexing and abstracting. indexing methods and procedures

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Indexing and Abstracting

Lecture 05 -- Indexing Methods and Procedures

Kuang-hua Chen

Department of Library and Information National Taiwan University

[email protected]

2/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Indexing

„ Indexing is the process of identifying

information in a knowledge record and organizing the pointers to that information into a searchable file

„ The outcome of the indexing process is an

index that indicates topics and possible uses for the documents and points to the location of the information

3/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Trade-offs

„ Controlled vocabulary vs natural language „ Recall vs precision

„ Specific indexing vs generic indexing „ Conceptual indexing vs keyword indexing „ Indented format vs run-in format

„ Alphabetical display vs classified display „ Word by word vs character by character

4/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Aboutness

„ The aboutness of a documents is not limited

to the explicit keywords from the text

„ Aboutness is much more than just coverage

of surface content

„ A major reason that indexing fails is because

the indexer superficially dealt with the aboutness issue

(2)

5/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Subtle Aboutness

„ Language is a multilayer carrier of

information

„ A sentence can convey different messages for

different people

„ Aboutness can have different interpretations

according to the background and orientation of the writer and the reader, and the indexer

„ Indexers have to tell major topics from minor

topics in documents

6/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Indexing Process

„

A combination of formal rules, common

sense, and talent

„

Indexing can be done by humans, by a

computer, or by a combination of

humans and computer

Steps of Indexing

„ Decide which topics in the item are relevant to the potential

user of the document

„ Decide which topics truly capture the content of the

document

„ Determine terms that come as close as possible to the

terminology used in the document

„ Decide on index terms and the specificity of those terms „ Group references to information that is scattered in the text

of the document

„ Combine headings and subheadings into related multilevel

headings

„ Direct the user seeking information under terms not used to

those that are being used by means of see references and to related terms with see also references

Subject Analysis Subject Translation Index compilation

What to index

„ Policies (organizational, institutional)

„ The policies and purposes of a large general

indexing service will be geared to a large user group with a broad subject interest

„ In a special library or a narrowly defined

information center the users will have a distinct, more specific type of information need

„ Subjective value judgment (Personal) „ The quality of an index can be judged by

(3)

9/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

First of all for

indexing one piece of work

„

Recording of bibliographic data

„

Content Analysis

„ Title „ Abstract „ Text „ Reference 10/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Bibliographic Data

„

An important pointer for users to

reference this indexed item

„

Some conventions or rules should be

followed

„ Name format „ Abbreviation usage „ …

11/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Content Analysis

„

Title

„

Abstract

„

Text

„

Reference

12/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Title

„

Content-bearing

„

But too concise and general

„

Sometimes, too vague

„

Even worst, not related

(4)

13/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Abstracts

„

Good abstracts can be indicators of

subject content

„

Most words in a good abstract will

convey subject content

„

Abstracts, like titles, can be badly

written and misleading

14/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Text

„ Introduction

„ What is going to be said or done

„ Conclusion

„ What has been said or done

„ Section headings

„ First sentence and last sentence of a

paragraph

„ Historical and theoretical background „ Methodology

„ Charts, diagram, graphs, photographs, tables

Reference

„

Good indicators to reflect the subject

content

„

Citation indexing

„

Titles in reference list

Key Points

„ Subject determination

„ “The mosquitoes attack with the ferocity of a tiger”

„ “The queen looked at me with her mosquitoes

eyes”

„ Major ideas are repeated and minor ideas are only

mentioned?

„ Locator

„ Term selection „ Entry Points

(5)

17/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Depth of Indexing

„

Depth of indexing is the degree to

which a topic is represented in detail

„

Exhaustivity

„

Specificity

18/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Exhaustivity

„ Possible terms have been exhausted „ It seems that many index terms will be

assigned

„ The number of index terms reflects the

exhaustivity

19/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Exhaustivity

(Continued)

„ The more exhaustive the item is indexed, the

more likely it will be discovered because of the wider range of subject terms

„ The trade-off is that the document may not

be specifically pertinent to user’s need

„ The degree of exhaustivity depends on the

policy of organization, money, time and the need of your users

20/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Specificity

„ The preciseness with which we describe a

document is another dimension in choosing descriptors

„ The more specific the term, the more precise

the results

„ If the terms used are precise, we could say

the indexing is specificity

„ A very specific indexing language will have a

large vocabulary with more potential descriptors

(6)

21/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Specificity

(Continued)

„

The problem of specificity begins at the

designing of indexing language

„

We have to considerately select

vocabulary and design thesaurus

„

Use the terms which the authors use

22/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Trade-offs

„

User-oriented

„ For general users, broader-term approach

with more exhaustivity

„ For specialized user groups, narrower

terms with more specificity

Display of Indexes

„ Typographic conventions

„ Punctuation „ Type size „ Font

„ Main entries in heavy print (capital letters) „ Subheadings are in light print (smaller letters) „ Seereferences are often italicized

„ Indentation for distinction of main headings

and subheadings

Indented VS Run-in Style Format

„ Indented Format: (縮排) grammar

author's preferences, 333, 336, 339, 362 computerized checking, 337

as cultural product, 8-9, 338, 339

handbooks and usage guides, 61-62, 336-37 „ Run-in Format: (接排)

„ When space is the concern.

grammar: author's preferences, 333, 336, 339, 362; computerized checking, 337; as cultural product, 8-9, 338, 339; handbooks and usage guides, 61-62, 336-37

(7)

25/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Indented

(cross reference at bottom)

dogs cocker spaniels, 55 Dalmatians, 33 English setters, 66 golden retrievers, 63 Gordon setters, 39

See also American Kennel Club

26/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Indented

(cross reference at top)

dogs. See alsoAmerican Kennel Club cocker spaniels, 55 Dalmatians, 33 English setters, 66 golden retrievers, 63 Gordon setters, 39 27/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Run-in (cross reference at bottom)

dogs: cocker spaniels, 55; Dalmatians, 33;

English setters, 66; golden retrievers,

63; Gordon setters, 39;

See also

American Kennel Club

28/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Run-in (cross reference at top)

dogs (

see also

American Kennel

Club): cocker spaniels, 55; Dalmatians,

33; English setters, 66; golden

(8)

29/29

Language & Information Processing System, LIS, NTU Indexing & Abstracting Lecture05

Alphabetization

„ Letter-by-Letter

A blood group ABO blood group A factor allyl alcohol allylcysteine allyl sulfide atherosclerosis … endings endogenous end piece end zone „ Word-by-Word A blood group A factor ABO blood group allyl alcohol allyl sulfide allylcysteine atherosclerosis … end piece end zone endings endogenou

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