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Chapter 4 : Query Languages

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Chapter 4 : Query Languages Baeza-Yates, 1999 Modern Information Retrieval Outline Keyword-Based Querying Patten Matching Structural Queries Query Protocols Trends ... – PowerPoint PPT presentation

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Title: Chapter 4 : Query Languages


1
Chapter 4 Query Languages
  • Baeza-Yates, 1999
  • Modern Information Retrieval

2
Outline
  • Keyword-Based Querying
  • Patten Matching
  • Structural Queries
  • Query Protocols
  • Trends and Research Issues

3
Keyword-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

4
Single-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

5
Context Queries
  • Definition
  • - Search words in a given context
  • 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

6
Boolean 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
  • Fuzzy Boolean
  • Retrieve documents appearing in some operands
    (The AND may require it to appear in more
    operands than the OR)

7
Natural 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

8
Pattern Matching
  • Data retrieval
  • A pattern is a set of syntactic features that
    must occur in a text segment
  • Types
  • Words
  • Prefixes
  • e.q comput-gtcomputer ,computation,comput
    ing,etc
  • Suffixes
  • e.q ters-gtcomputers,testers,painters,et
    c
  • Substrings
  • e.q tal-gtcoastal,talk,metallic,etc
  • Ranges
  • between held and hold-gthoax and hissing

9
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

10
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

11
Structural Queries
  • Mixing contents and structure in queries
  • - contents words, phrases, or patterns
  • - structural constraints containment,
    proximity, or other restrictions on structural
    elements
  • Three main structures
  • - Fixed structure
  • - Hypertext structure
  • - Hierarchical structure

12
Fixed 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

13
Hypertext
  • 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)

14
Hypertext WebGlimpse
WebGlimpse combine browsing and searching on the
Web
15
Hierarchical Structure
16
Hierarchical Structure
17
Hierarchical Structure
  • PAT Expressions
  • Overlapped Lists
  • Lists of References
  • Proximal Nodes
  • Tree Matching

18
Query Protocols
  • Z39.50
  • WAIS (Wide Area Information Service)

19
Z39.50
  • 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

20
Z39.50 Brief history
  • Z39.50-1988(version 1)
  • Z39.50-1992(version 2)
  • Z39.50-1995(version 3)
  • Version 4, development began in Autumn 1995

21
Using Z39.50 over the WWW
WWW Client
WWW Z39.50
Z39.50 Server
Repository Digital library
Z39.50 Client
22
WAIS (Wide Area Information Service)
  • Beginning in the 1990s
  • Query databases through the Internet

23
Trends and Research Issues
Relationship between types of queries and models
24
Query Language Taxonomy
The types of queries covered and how they are
structured
25
PAT Tree Expression
  • The model allow for the areas of a region to
    overlap or nest

26
Overlapped 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

27
Lists 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.

28
Proximal 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.

29
Tree 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.
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