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LIS618 lecture 5

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Connectors are used to put several words together. ... matero (mate drinker) cebar (prepare mate) cebador (mate preparer) yerba (mate herb) ... – PowerPoint PPT presentation

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Title: LIS618 lecture 5


1
LIS618 lecture 5
  • Thomas Krichel
  • 2003-02-26

2
structure
  • operations on any file (database)
  • connectors
  • booleans
  • set handling
  • display
  • file-specifics
  • bluesheet
  • Introduction to structured queries

3
Use of connectors
  • Connectors are used to put several words
    together.
  • One instance where this is useful is when you
    have words that on their own mean different
    things.
  • For example "mate" is a herbal beverage consumed
    in South America. Looking for mate on the
    Internet retrieves a lot of singles' pages.

4
example terms related to "mate"
  • What other terms to be used?
  • matear (drink mate)
  • matero (mate drinker)
  • cebar (prepare mate)
  • cebador (mate preparer)
  • yerba (mate herb)
  • bombilla (mate straw)

5
connectors I
  • '(W)' requires terms to appear one after the
    other next to each other e.g. 'yerba(W)mate?'
    matches "yerba mate".
  • '(i W)' where i is an integer, means followed by
    at most i words, e.g. 'ceba?(3W)mate?' matches
    "cebar un maravilloso mate" but not "cebador
    guapo mirando un buen mate"

6
connectors II
  • '(N)' requires terms to be next to each other
    e.g. 'yerba(N)mate?' matches "yerba mate" or
    "mate yerba".
  • '(i N)' where i is an integer, means proximity by
    at most i words, e.g. 'ceba?(3N)mate?' matches
    "cebar mate" or "matear con la cebadora".
  • '(S)' searches for the occurrence of connected
    terms in the same paragraph.

7
using Boolean operators
  • In your query, you can combine several
    expressions with Boolean operators
  • Example "S LIBRARY(W)SCHOOL? AND
    DISTANCE(W)EDUCATION"
  • But I usually do not issue such fancy queries.

8
executing several searches
  • there can be several searches done sequentially,
    and the results sets are saved by the system.
  • Each time the system assigns a set number, Si,
  • These can be combined in Boolean expressions,
    e.g. 's S1 or S2 and S3'
  • Remember that Boolean operations are
    set-theoretic!

9
Boolean operators on sets
  • when using Booleans, be aware that "and" has
    higher precedence than "or".
  • Thus
  • a or b and c
  • is not the same as
  • (a or b) and c
  • but it is
  • a or (b and c)
  • use parenthesis when in doubt

10
DS (display sets)
  • This command can be executed any time to review
    the sets that have been formed since the last B
    (begin) command.
  • This can be useful to review your search history.

11
the target command
  • "target set" where set is a search result set
    creates a subset of the "statistically most
    relevant results" in the original set.
  • I have not seen details about how this subset is
    computed.
  • new result set is being formed.

12
display the type command
  • type set/format/range
  • set is a result set
  • format is a format
  • range can be
  • start end
  • start is a record number to start
  • end is a record number to end
  • all

13
standard delivery formats
  • 2 -- full record except abstract
  • 3 or medium citation
  • 5 or long full except full text
  • 6 or free title and dialog number
  • 8 or short title plus indexing terms
  • useful to find other indexing terms
  • 9 or full everything
  • KWIC or K keywords in context

14
options for delivery
  • I once tried to email results to me, to no avail
  • You can save the html of the search results in
    the browser.
  • You can print the results within the browser.

15
Looking at database structure
  • Up until now, we have looked at commands that
    take a full-text view of the database.
  • Such commands can be executed for every database.
  • If we want to make more precise queries, we have
    to take account of database structure.

16
blue sheet
  • each database name is linked to a blueish pop-up
    window called the blue sheet for the database
  • This is called the bluesheet.
  • It contains the details of the database.

17
closer look at the bluesheet
  • file description
  • subject coverage (free vocabulary)
  • format options, lists all formats
  • by number (internal)
  • by dialog web format (external, i.e.
    cross-database)
  • search options
  • basic index, i.e. subject contents
  • additional index, i.e. non-subject

18
basic vs additional index
  • the basic index
  • has information that is relevant to the
    substantive contents of the data
  • usually is indexed by word, i.e. connectors are
    required
  • the additional index
  • has data that is not relevant to the substantive
    matter
  • usually indexed by phrase, i.e. connectors are
    not required

19
search options basic index
  • select without qualifiers searches in all fields
    in the basic index
  • bluesheet lists field indicators available for a
    database
  • also note if field is indexed by word or phrase.
    proximity searching only works with word indices.
    when phrases are indexed you don't need proximity
    indicators

20
http//openlib.org/home/krichel
  • Thank you for your attention!
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