Title: Chapter 4 : Query Languages
1Chapter 4 Query Languages
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2Outline
- Keyword-Based Querying
- Patten Matching
- Structural Queries
- Query Protocols
- Trends and Research Issues
3Keyword-Based Querying
- A query is formulation of a user information need
- Keyword-based queries are popular
- 1.Single-Word Queries
- 2.Context Queries
- 3.Boolean Queries
- 4.Natural Language
4Single-Word Queries
- A query is formulated by a word
- A document is formulated by long sequences of
words - A word is a sequence of letters surrounded by
separators - What are letters and separators?e.g,on-line The
division of the text into words is not arbitrary
5Context Queries
- definition
- - Search words in a given context,e.g,near
other words - types
- -phrase
- gta sequence of single-word queries
- gte.g,enhance retrieval
- -proximity
- gta sequence of single words or phrases, and a
maximum allowed distance between them are
specified - gte.g,within distance(enhance,retrieval,4)
will match enhance the power of retrieval
6Boolean Queries
Definition -A syntax composed of atoms that
retrieve documents, and of Boolean operators
which work on their operands -e.g,translation AND
syntax OR syntactic
7Boolean Queries
- Operands
- -(e1 OR e2)
- select all documents which satisfy e1 or e2
- -(e1 AND e2)
- select all documents which satisfy both e1 and
e2 - -(e1 BUT e2)
- select all documents which satisfy e1 but not
e2 - fuzzy boolean
- -Retrieve documents appearing in some
operands(The AND may require it to appear in more
operands than the OR)
8Natural Language
- generalization of fuzzy Boolean
- A query is an enumeration of words and context
queries - All the documents matching a portion of the user
query are retrieved
9Pattern Matching
- A pattern is a set of syntactic features that
must occur in a text segment - Types
- -words
- -prefixes
- e.q comput-gtcomputer ,computation,com
puting,etc - -suffixes
- e.q ters-gtcomputers,testers,painters
,etc - -substrings
- e.q tal-gtcoastal,talk,metallic,etc
- -Ranges
- between held and hold-gthoax and
hissing
10Pattern Matching
- Allowing errors
- Retrieve all text words which all similar to
the given word - edit distance
- the minimum number of character
insertions,deletions,and replacements needed to
make two strings equal , e.q , flower and flo
wer - maximum allowed edit distance
- query specifies the maximum number of allowed
errors for a word to match the pattern
11Pattern Matching
- Regular expressions
- union if e1 and e2 are regular expressions ,
then(e1e2) matches what e1 or e2 matches - concatenation if e1 and e2 are regular
expressions , the occurrences of (e1e2) are
formed by the occurrences of e1 immediately
followed by those of e2 - repetition if e is a regular expression , then
(e) matches a sequence of zero or more
contiguous occurrence of e - pro(blemtein)(s?)(012)-gtproblem2 and
proteins
12Structural Queries
- Mixing contents and structure in queries
- -contentswords,phrases,or patterns
- -structural constraintscontainment,proximity,o
r other restrictions on structural elements - Three main structures
- -fixed structure
- -hypertext structure
- -hierarchical structure
13Fixed Structure
Documenta fixed set of fields EX a mail has a
sender, a receiver, a date, a subject and a body
field Search for the mails sent to a given person
with football in the Subject field
14Hypertext
A hypertext is a directed graph where nodes hold
some text (text contents) the links represent
connections between nodes or between positions
inside nodes (structural connectivity)
15Hypertext WebGlimpse
WebGlimpse combine browsing and searching on the
Web
16Hierarchical Structure
Recursive decomposition of the text
17Hierarchical Structure
18Hierarchical Structure
19Hierarchical Structure
20Hierarchical Structure
- PAT Expressions
- Overlapped Lists
- Lists of References
- Proximal Nodes
- Tree Matching
21PAT Expressions
- What is PAT tree?
- The areas of a region cannot nest or overlap
22PAT Tree
23Overlapped Lists
- The model allow for the areas of a region to
overlap,but not to nest - It is not clear,whether overlapping is good or
not for capturing the structural properties -
24Lists of References
- Overlap and nest are not allowed
- All elements must be of the same type,e.g only
sections,or only paragraphs. - A reference is a pointer to a region of the
database.
25Proximal Nodes
- This model tries to find a good compromise
between expressiveness and efficiency. - It does not define a specific language, but a
model in which it is shown that a number of
useful operators can be included achieving good
efficiency.
26Tree Matching
- The leaves of the query can be not only
structural elements but also text patterns,
meaning that the ancestor of the leaf must
contain that pattern.
27Query Protocols
- Z39.50
- WAIS (Wide Area Information Service)
28Z39.50
- American National Standard Information Retrieval
Application Service Definition - Can be implemented on any platform
- Query bibliographical information using a
standard interface between the client and the
host database manager - Z39.50 protocol is part of WAIS
29Z39.50 Brief history
- Z39.50-1988(version 1)
- Z39.50-1992(version 2)
- Z39.50-1995(version 3)
- Version 4,development began in Autumn 1995
30Using Z39.50 over the WWW
WWW Client
WWW Z39.50
Z39.50 Server
Repository Digital library
Z39.50 Client
31WAIS (Wide Area Information Service)
- Beginning in the 1990s
- Query databases through the Internet
32Trends and Research Issues
Model
Queries allowed
word,set operations words words words
Boolean Vector Probabilistic BBN
Relationship between types of queries and models
33Boolean Model
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34Vector Model
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35Probabilistic Model
- Probabilistic Model
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36Bayesian Belief Network
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37Bayesian Belief Network
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38Trends and Research Issues
The types of queries covered and how they are
structured