Ovid Technologies Field Guide

Dissertation Abstracts (DISS)


Scope

Dissertation Abstracts contains references and abstracts for doctoral dissertations from accredited American and Canadian, selected British and European universities, covering all academic subjects. Masters theses are also included from accredited North American Universities.


General Information

Producer
UMI
A Bell & Howell Information Company
300 North Zeeb Road
Ann Arbor, MI 48106
313-761-4700
800-521-0600
800-343-5299 (Canada)

Years of Coverage
1861 - present

Default fields for unqualified searches
TI, AB, HW

All Display/Print Fields
AN, AU, TI, TT, IN, DD, SO, SH, AB, AR, EM, IB, LG

Default Display/Print Fields
AN, AU, TI, TT, IN, SO, SH, AB, AR

Update Frequency
Monthly

Searching the Dissertation Abstracts fields

The following alphabetical list provides the two-letter label, the relevant alias, and at least one example for each Dissertation Abstracts field.


=====        ============
Label        Name/Example
=====        ============

ab           Abstract [Word Indexed]
example 1:   legal.ab.
example 2:   legal protection.ab.
example 3:   (stereotype$ adj9 caricatur$).ab.

The Abstract (AB) field contains author-written summaries of the
dissertation or thesis.  Since 1980, nearly all dissertation records
contain abstracts. Since 1988, nearly all Masters Thesis records contain
abstracts.


an or ui     Accession Number [Phrase Indexed]
example 1:   aaic321304.an.
example 2:   aaic321304.ui.

The Accession Number (AN) field contains a number assigned by UMI to
uniquely identify a particular record. This number can be used to order
a document from UMI's document delivery service.


ar           Advisor [Phrase Indexed]
example 1:   harris joe.ar.
example 2:   stone$.ar.

The Advisor (AR) field contains the name of the person who acted as an
Advisor for the dissertation or thesis project.  The format for Advisors
is last name first, followed by first name and middle name (if
available). Advisor information was added to the database in 1989, and
will appear only for some documents.


au           Author [Phrase Indexed]
example 1:   adams lynn.au.
example 2:   adams$.au.

The Author (AU) field contains the names of the authors.   The format for
authors is last name, first and middle names:  smith, john lawrence.
Enter the last name, or if it is a common name, enter the last name and
first initial.


dd           Document Delivery [Available as a Limit]


dg           Degree Awarded [Phrase Indexed]
example:     phd.dg.

The Degree Awarded (DG) field contains the name of the degree awarded.
This field will appear for most records, but may not appear for some
foreign dissertations.  This field displays as part of the Institution
(IN) field.


em           Entry Month [Phrase Indexed]
example:     9601.em.

The Entry Month (EM) field contains the issue (year and month) in which
a document was added to the Dissertation Abstracts database.  The EM
field is in the format YYMM.


hw           Heading Word [Word Indexed]
example:     computer.hw.

Sometimes you may wish to retrieve every subject heading that includes a
particular word; this is done by searching the single word in the Subject
Heading Word (HW) field.


ib           ISBN [Phrase Indexed]
example:     8-479-29442-6.ib.

The ISBN (IB) field contains the International Standard Book Number
(ISBN) for the dissertation which is cited, when available, and appears
as an 10-12 digit string.


in           Institution [Word Indexed]
example:     harvard.in.

The Institution (IN) field contains information about the degree, including
degree awarded (when available), name of the institution awarding the
degree, and the year that the degree was awarded.

The Institution field is word-searchable.  Use the most unusual word or
phrase in the instutution name as a search term:  i.e. harvard, not
university.


lg           Language [Phrase Indexed]
example:     fre.lg.

The Language (LG) field contains the language of publication of a
dissertation or thesis.  The Language field was added to the Dissertation
Abstracts database in 1988.

The language name will appear in the index as a 3-letter code (such as fre
for French);  the codes are usually, but not always, the first three letters
of the language name.


sh or de     Subject Headings [Phrase Indexed]
example 1:   computer science.sh.
example 2:   computer science.de.
example 3:   geodesy.sh.
example 4:   journalism.de.

The Subject Headings (SH) field contains the subject terms used by UMI
indexers to describe the main subjects, or fields of study, of a
dissertation or thesis.  Subject Headings are assigned from a controlled
list of fields of study.


so           Source [Word Indexed]
example:     masters.so.

The Source (SO) field contains complete publication information for the
UMI dissertation publication in which the citation or abstract first
appeared.  Information included in the Source field includes: database
identification, volume number or source code, and page numbers of the
UMI publication.

The Source field is word searchable, and stopwords are not applied to
this field.


ti           Title [Word Indexed]
example 1:   leadership.ti.
example 2:   leadership ability.ti.
example 3:   arbeitsrechtes.ti.

The Title (TI) field contains the full title of the dissertation or
thesis in the original language in which it was written.  If the
original title is not in English, an English translation of the title
will appear in the Translated Title (TT) field.

All of the words in the Original and Translated Title fields are
searchable in the Title field.  Stopwords such as "of" or "the" will
display in documents but do not appear in the Title index. However, the
word "a", which is a stopword in other fields, CAN be searched in
titles.


tt           Translated Title
[searched as TI field]


tw           Textword [TI, AB, HW Fields]
example 1:   fraud.tw.
example 2:   electoral fraud.tw.
example 3:   credit institution$.tw.

The Textword (TW) field is an alias for all of the fields which contain
text words which are appropriate for a subject search.
The Textword field in Dissertation Abstracts includes the Title (TI),
Abstract (AB), and Subject Heading Word (HW) fields.


yr           Year Awarded
example 1:   1994.yr.
example 2:   94.yr.

The Year (YR) field contains the year in which the dissertation was awarded.
It can be searched as a 2 or 4-digit year.  The YR field is displayed as
part of the Institution field.

Dissertation Abstracts Limits

The following limits are available from the Limit menu on the Main Search Screen:

Popular Command and Sentence Syntax Limits:


Abstracts
Command Syntax:        ..l/1 ab=y
Sentence Syntax:       limit 1 to abstracts

Available from UMI
Sentence Syntax:       limit 1 to umi

Doctoral Degree
Sentence Syntax:       limit 1 to doctoral degree

English Language
Command Syntax:        ..l/1 en=y
Command Syntax:        ..l/1 lg=eng
Sentence Syntax:       limit 1 to english

Languages...
Sentence Syntax:       limit 1 to french

Latest Update
Command Syntax:        ..l/1 up=y
Sentence Syntax:       limit 1 to update
Sentence Syntax:       limit 1 to latest update

Masters Degree
Sentence Syntax:       limit 1 to masters degree

Publication Year...
Command Syntax:        ..l/1 yr=93
Sentence Syntax:       limit 1 to yr=1993
Sentence Syntax:       limit 1 to yr=93


Change to Dissertation Abstracts from another database

Command Syntax:        ..c/diss
Sentence Syntax:       use diss


Sample DISS Documents

<1>
Accession Number
  ADG9631522
Author
  Khardon, Roni.
Title
  LEARNING TO BE COMPETENT (REASONING, COGNITION, ARTIFICIAL
  INTELLIGENCE).
Institution
  Thesis (PH.D.)--HARVARD UNIVERSITY.  1996. 280p.
Document Delivery
  Order Number: ADG9631522.
Source
  Dissertation Abstracts International.  Volume: 57-05, Section: B,
  page: 3288.
Subject Headings
  Computer Science.  Artificial Intelligence.
Abstract
  The thesis presents a new approach for the study of competent
  cognitive behavior.  The approach, learning to be competent,
  suggests that learning phenomena and the competencies attributed to
  intelligence should be studied together.  Instead of requiring
  omniscience or otherwise optimal performance, we claim that the tasks
  and success criteria should be defined behaviorally; that is, a
  system is competent if it functions well in its environment.  We
  further suggest that competent behavior should only be expected in
  light of a learning experience in the same or similar environment,
  and that the solutions exhibited should be computationally
  efficient.  These ideas are presented in a formal setting, so that
  the various tasks and their proposed solutions can be studied and
  analyzed. Thus, one contribution of this approach is in formalizing
  the problem in a form that is amenable to analysis, while being
  cognitively and computationally plausible.

  The learning to reason framework is used to study the problem of
  logical reasoning in propositional domains.  We consider a variety
  of possible interfaces for learning, and describe learning
  algorithms that interact with them, thus demonstrating the robustness
  of this approach.  The results show that learning to reason is
  possible even in cases where the traditionally separate problems,
  namely concept learning and reasoning by proving assertions, do not
  have efficient solutions.

  In the course of studying reasoning tasks, we develop a model based
  representation, the set of characteristic models, which supports
  efficient solutions for several forms of logical reasoning.  This
  representation is utilized in the learning to reason framework, and
  is also shown to have other applications, in the theory of
  relational databases, and in computational tasks that arise in the
  design of such databases.

  The task of acting in a dynamic world in order to achieve some goals
  is studied in the learning to act framework.  We present results on
  supervised learning of action strategies in the form of production
  rule systems.  The framework and the results combine features from
  the area of symbolic computation and that of reactive agents, which
  have been previously seen as opposed if not contradictory, and thus
  advance our understanding of the problems.
Advisor
  Valiant, Leslie G.
Entry Month
  9609. Revised: 960927.

<2>
Accession Number
  AAI9129772
Author
  Komow, Ray.
Title
  THE GENESIS AND TONE OF "DIE MEISTERSINGER VON NURNBERG" (WAGNER,
  OPERA, GERMANY).
Institution
  Thesis (PH.D.)--BRANDEIS UNIVERSITY.  1991. 569p.
Document Delivery
  Order Number: AAI9129772.
Source
  Dissertation Abstracts International.  Volume: 52-06, Section: A,
  page: 1936.
Subject Headings
  Music.
Abstract
  In Meistersinger the terms Ton and Weise describe the elements
  within a work that make it unique.  Both the opera itself and
  Wagner's writings show that for Wagner the nature of an artwork was
  bound up with its creation.  The dissertation examines the opera,
  sketch materials, and Wagner's writings to determine what
  constitutes the Ton and Weise, i.e. the "tone", of Meistersinger and
  how it came into being.

  In Book One, "Historical Background", essential manuscripts are
  described, based on archival research, to develop a sense of
  Wagner's approach to the composition of the opera.  Work on
  Meistersinger between 1845 and 1851 is then examined, with emphasis
  on the relationship to Tannhauser and Wagner's own critique of the
  first prose draft.  A chronological overview of the opera's
  composition suggests, among other things, that fragments in a green
  pocket notebook may represent an attempt to encapsulate the musical
  tone of the opera before setting the libretto.

  Book Two, "Compositional Issues", examines sketch materials and
  passages of the completed opera in detail.  Wagner's melodic fabric
  is constructed from motivic cells out of which themes and motives
  are built.  Motivic transformation produces a metaphor for the way
  that what Wagner called "inner natural necessity" motivates the
  dramatic action.  The portrayal of artisty and pedantry on the one
  hand and old and new music on the other are factors around which
  Wagner developed the tone of the opera.  Wagner felt that artists
  are flexible by nature, whereas pedants gravitate toward rigid
  guidelines and closed forms.  This flexibility also effected
  Wagner's decisions about key settings and tonal motion.  In the
  Green Notebook Wagner built primary themes from motivic cells which
  eventually permeated the opera.  These themes include both closed
  and open musical material, often in the same keys as in the finished
  opera.  When drafted this constituted the tone of the opera and a
  starting point for the development of the tone of the completed work.
Advisor
  Chafe, ERIC.
Entry Month
  9402. Revised: 931008.

Dissertation Abstracts Copyright Information

Dissertation Abstracts contains copyrighted materials of UMI and its licensors which retain sole ownership of these materials. Only fair use, as provided by the United States copyright law is permitted. UMI makes no warranties, express or implied, as to the service or the entries which constitute it, including any warranty of merchantability or fitness for a particular use, and shall not be liable for any damages of any kind or lost profits or other claims related to them or their use.

Revised 25 March, 1997