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PRECIS
(PREserved Context Indexing
System)

Raihanath
Dept.of LIS
Pondicherry University
PRECIS
 PREserved Context Indexing System.
 Developed by Derek Austin in the early 1970s for

subject indexing for the British National Bibliography.
 Subsequently developed by him, with the assistance

of Mary Dykstra, into an adaptable method of linking
both the semantics and syntax of indexing terms.
 Goal was to represent meaning without “disturbing

the user‟s immediate understanding.”
Cont….
 It is a development of Chain Indexing.
 PRECIS was replaced by COMPASS in 1990.
 The British Library compiled an internal thesaurus

for PRECIS-indexing of the British National
Bibliography from 1950-1987.
 The PRECIS thesaurus has, never been available

online.
Two most important factors worked for
the development of PRECIS:

 Idea of replacing chain indexing technique of

BNB;
 The decision of the British Library to generate

computer produced BNB with all the indexes
in view of launching the UKMARC project
Concept of PRECIS
 Term:
A term is a verbal representation of a concept. It
may consist of one or more words.

 String:
An ordered sequence of component
terms, excluding articles
connectives, prepositions, etc., proceded by role
operators is called a string. The string represents the
subject of the document.

 Role Operators:
The Operators are the code symbols
which show the function of the component term and
fix its position in the strings. These role operators are
meant for the guidance of the indexers only and do
not appear in the index entry.
Major task involved in indexing
according to PRECIS,
 Analyzing the document concerned and identifying key







concepts.
Organizing the concepts into a subject statement based
on the principle of context dependency.
Assigning codes which signify the syntactical function
of each term.
Deciding which terms should be the access points and
which terms would be in other positions in the index
entries ,and assigning further codes to achieve these
results.
Adding further prepositions ,auxiliaries or phrases
which would result in clarity and expressiveness of the
resulting index entries.
Primary Operators
Enviornment of core
concepts

0

Locations

Core concepts

1

Key system; Object of transitive action;
agent of intransitive action

2

Action; effect of action

3

Performer of transitive action ;intake; factor

4

View point –as-form

5

Selected instance,eg-study region ,sample
population

6

Form of document; target user

Extra-core concepts
Secondary Operators

Standard coordinate concept

p

Part;property
Member of quesi-group

r
Special class of action

‘Bound’coordinate concept

q

Dependent elements

f

g

Coordinate Concepts

Assembly

s

Role definer

t

Author-attributed association

u

Two-way interaction
Codes
Primary codes
1st concept in coordinate
theme
2nd/subsequent concept in
theme

$z
Term codes

$x
$y

Theme interlinks

Common concept

$a

Common noun

$c

Proper name

$d

Place name
+
 In PRECIS entries are generated in a two-line

,three-part format.
 The first line, consisting of two lines-the lead and

the qualifier. Other line consist of Display.
 The lead is the user‟s access point to the index;

the qualifier contains the terms that set the lead
into its wider context;and the display contains the
terms that rely upon the heading for the context.
Formats
Standard format :
 Lead:
„Lead‟ position serves as the users‟ approach
term, by which a user may search the index.
 Qualifier: It represent the term or set of terms which
qualifies the lead term to bring it into its proper
context.It provides wider context to the lead term.
 Display: It is the remaining part of the string which
helps to preserve the context.
All the terms in the string are prepared using the
PRECIS table, are then rotated according to a
Cont…..
The structure adopted for the process is as
follows:

Lead Term

Qualifier

Display
The approach term is placed one by
one in the lead term section, with the succeeding
terms (if any) as qualifier and the preceding terms
(if any) in the display section, displaying the
context of the terms.
Example:
Computerization of libraries in India
(0)
(1)
(2)
1.

2.

Indian
Libraries
Computerization
INDIA
Libraries. Computerization
LIBRARIES

India
Computerization

3.COMPUTERISATION

Libraries. India
Cont…
Predicate Transformation Format
The Predicate Transformation Format is
used when the teem representing an agent (3)
appears as a lead term prefixed by one of the
operators 2 or s or t. When such a situation
arises, 2 or s or t is shifted to Display position from
the Qualifier position.
3. Inverted Format
PRECIS makes the use of inverted format
when any term is provided the role operators (4), (5)
or (6) and these terms appear as Lead terms. When it
happens so, the dependant elements are presented
in italics (or underlined if handwritten) after a hyphen
and the terms in the Qualifier position are printed in
Display position.
2.
Aspects of PRECIS Indexing:
 Context is preserved: The entire indexing








statement appears at each lead term;
The permuted entries read naturally, which is
achieved by the prescribed order of the role
operators;
The terms are linked to a machine-held thesaurus
(not described in this presentation) thereby
providing possible see’s and see also’s ;
According to Austin, PRECIS can be adapted to
other languages.
The indexer determines meaning and codes the
roles and lead terms, but the computer takes care
of the permutations.
Essential Features of PRECIS


The system derives headings that are coextensive with the subject at all access points.



It is not bound to any classification scheme .



The terms are context dependent in nature,
which enables the users to identify the entries
correctly.

 The entries are generated automatically by the

computer references between semantically
related terms.
Cont….


It also provides adequate arrangement of
references between semantically related terms.



It is a flexible system, as it is able to
incorporate newly emerging terms accordingly.



It has introduced the PRECIS table which puts
forth a set pattern for the preparation of entries,
thus bringing about consistency in work.
Limitation
 Indexing with PRECIS requires a good

knowledge of grammar;
 The bottleneck comes at the first step: articulating

the title-like phrase.
 It‟s not clear how the terms provided by the

indexer are harmonized with the thesaurus to
produce “consensual meaning.”
Conclusion

PRECIS was first adopted by BNB, later on
a number of agencies went to accept the system.
Among the other national bibliographies that
adopted PRECIS are Australia, Malaysia and
South Africa. Besides these, a number of libraries
in Britain are practicing it. A number of pilot
projects are also practicing and for creating
indexes to statistical, public and other records.
Reference
 Chowdhury , G.G(2010).Introduction to

Modern Information Retrieval(2nd ed.)New
delhi. Facet publication.
 Austin, Derek. PRECIS: A Manual of Concept
Analysis and Subject Indexing. 2nd ed.
London: British Library Bibliographic Services
Division, 1984.
 http://www.geocities.ws/salman_mlisc/disserta
tion/chap5.htm
Thank
you

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Precis

  • 2. PRECIS  PREserved Context Indexing System.  Developed by Derek Austin in the early 1970s for subject indexing for the British National Bibliography.  Subsequently developed by him, with the assistance of Mary Dykstra, into an adaptable method of linking both the semantics and syntax of indexing terms.  Goal was to represent meaning without “disturbing the user‟s immediate understanding.”
  • 3. Cont….  It is a development of Chain Indexing.  PRECIS was replaced by COMPASS in 1990.  The British Library compiled an internal thesaurus for PRECIS-indexing of the British National Bibliography from 1950-1987.  The PRECIS thesaurus has, never been available online.
  • 4. Two most important factors worked for the development of PRECIS:  Idea of replacing chain indexing technique of BNB;  The decision of the British Library to generate computer produced BNB with all the indexes in view of launching the UKMARC project
  • 5. Concept of PRECIS  Term: A term is a verbal representation of a concept. It may consist of one or more words.  String: An ordered sequence of component terms, excluding articles connectives, prepositions, etc., proceded by role operators is called a string. The string represents the subject of the document.  Role Operators: The Operators are the code symbols which show the function of the component term and fix its position in the strings. These role operators are meant for the guidance of the indexers only and do not appear in the index entry.
  • 6. Major task involved in indexing according to PRECIS,  Analyzing the document concerned and identifying key     concepts. Organizing the concepts into a subject statement based on the principle of context dependency. Assigning codes which signify the syntactical function of each term. Deciding which terms should be the access points and which terms would be in other positions in the index entries ,and assigning further codes to achieve these results. Adding further prepositions ,auxiliaries or phrases which would result in clarity and expressiveness of the resulting index entries.
  • 7. Primary Operators Enviornment of core concepts 0 Locations Core concepts 1 Key system; Object of transitive action; agent of intransitive action 2 Action; effect of action 3 Performer of transitive action ;intake; factor 4 View point –as-form 5 Selected instance,eg-study region ,sample population 6 Form of document; target user Extra-core concepts
  • 8. Secondary Operators Standard coordinate concept p Part;property Member of quesi-group r Special class of action ‘Bound’coordinate concept q Dependent elements f g Coordinate Concepts Assembly s Role definer t Author-attributed association u Two-way interaction
  • 9. Codes Primary codes 1st concept in coordinate theme 2nd/subsequent concept in theme $z Term codes $x $y Theme interlinks Common concept $a Common noun $c Proper name $d Place name
  • 10. +  In PRECIS entries are generated in a two-line ,three-part format.  The first line, consisting of two lines-the lead and the qualifier. Other line consist of Display.  The lead is the user‟s access point to the index; the qualifier contains the terms that set the lead into its wider context;and the display contains the terms that rely upon the heading for the context.
  • 11. Formats Standard format :  Lead: „Lead‟ position serves as the users‟ approach term, by which a user may search the index.  Qualifier: It represent the term or set of terms which qualifies the lead term to bring it into its proper context.It provides wider context to the lead term.  Display: It is the remaining part of the string which helps to preserve the context. All the terms in the string are prepared using the PRECIS table, are then rotated according to a
  • 12. Cont….. The structure adopted for the process is as follows: Lead Term Qualifier Display The approach term is placed one by one in the lead term section, with the succeeding terms (if any) as qualifier and the preceding terms (if any) in the display section, displaying the context of the terms.
  • 13. Example: Computerization of libraries in India (0) (1) (2) 1. 2. Indian Libraries Computerization INDIA Libraries. Computerization LIBRARIES India Computerization 3.COMPUTERISATION Libraries. India
  • 14. Cont… Predicate Transformation Format The Predicate Transformation Format is used when the teem representing an agent (3) appears as a lead term prefixed by one of the operators 2 or s or t. When such a situation arises, 2 or s or t is shifted to Display position from the Qualifier position. 3. Inverted Format PRECIS makes the use of inverted format when any term is provided the role operators (4), (5) or (6) and these terms appear as Lead terms. When it happens so, the dependant elements are presented in italics (or underlined if handwritten) after a hyphen and the terms in the Qualifier position are printed in Display position. 2.
  • 15. Aspects of PRECIS Indexing:  Context is preserved: The entire indexing     statement appears at each lead term; The permuted entries read naturally, which is achieved by the prescribed order of the role operators; The terms are linked to a machine-held thesaurus (not described in this presentation) thereby providing possible see’s and see also’s ; According to Austin, PRECIS can be adapted to other languages. The indexer determines meaning and codes the roles and lead terms, but the computer takes care of the permutations.
  • 16. Essential Features of PRECIS  The system derives headings that are coextensive with the subject at all access points.  It is not bound to any classification scheme .  The terms are context dependent in nature, which enables the users to identify the entries correctly.  The entries are generated automatically by the computer references between semantically related terms.
  • 17. Cont….  It also provides adequate arrangement of references between semantically related terms.  It is a flexible system, as it is able to incorporate newly emerging terms accordingly.  It has introduced the PRECIS table which puts forth a set pattern for the preparation of entries, thus bringing about consistency in work.
  • 18. Limitation  Indexing with PRECIS requires a good knowledge of grammar;  The bottleneck comes at the first step: articulating the title-like phrase.  It‟s not clear how the terms provided by the indexer are harmonized with the thesaurus to produce “consensual meaning.”
  • 19. Conclusion PRECIS was first adopted by BNB, later on a number of agencies went to accept the system. Among the other national bibliographies that adopted PRECIS are Australia, Malaysia and South Africa. Besides these, a number of libraries in Britain are practicing it. A number of pilot projects are also practicing and for creating indexes to statistical, public and other records.
  • 20. Reference  Chowdhury , G.G(2010).Introduction to Modern Information Retrieval(2nd ed.)New delhi. Facet publication.  Austin, Derek. PRECIS: A Manual of Concept Analysis and Subject Indexing. 2nd ed. London: British Library Bibliographic Services Division, 1984.  http://www.geocities.ws/salman_mlisc/disserta tion/chap5.htm