SlideShare una empresa de Scribd logo
1 de 36
Boolean Logic Searching: A Primer,[object Object],Original Web content by Laura Cohen ©2010. Used with permission.,[object Object],Adapted to MicroSoft PowerPoint slides by Cynthia S. Wetzel, MGCCC, Perkinston Campus Library. For educational use only. ©2010,[object Object]
Boolean Logic Searching: A Primer,[object Object],… “something about Boolean logic is counter-intuitive for many otherwise intelligent people.”,[object Object]
Boolean Logic Searching,[object Object],The Internet is a vast computer database which is searched according to the rules of computer database searching.,[object Object],Much database searching is based on the principles of Boolean logic.,[object Object],Boolean logic refers to the logical relationship among search terms, and is named for British-born Irish mathematician George Boole.,[object Object],On Internet search engines, the options for constructing logical relationships among search terms often modify traditional practices of Boolean searching (see Boolean Searching on the Internet tutorial, following this primer).,[object Object]
Boolean Operators,[object Object],Boolean logic consists of three logical operators: ,[object Object],AND,[object Object],OR,[object Object],NOT,[object Object],Each operator can be visually described by using Venn diagrams,[object Object],The following slides illustrate how these three operators function. ,[object Object]
ORlogicQuestion: I would like information about college.,[object Object],In this type of search, we will retrieve records in which ,[object Object],AT LEAST ONE,[object Object],of the search terms is present. ,[object Object],We are searching on the terms college and also university since documents containing either of these words might be relevant. ,[object Object],college OR university,[object Object]
ORlogicQuestion: I would like information about college.,[object Object],This is illustrated by: ,[object Object],[object Object]
the shaded circle with the word university representing all the records that contain the word “university.”
the shaded overlap area representing all the records that contain both “college” and “university.”college OR university,[object Object]
ORlogic,[object Object],OR logic is most commonly used to search for synonymous terms or concepts. ,[object Object],Here is an example of how ORlogic works: ,[object Object],ORlogic collates the results to retrieve all the unique records containing one term, the other term, or both of them. ,[object Object]
ORlogicQuestion: I would like information about college.,[object Object],The more terms or concepts we combine in a search with OR logic, the more results we will retrieve. ,[object Object],college OR university OR campus,[object Object]
ORlogic,[object Object],Both examples: ,[object Object]
ANDlogic Question: I'm interested in the relationship between poverty and crime.,[object Object],In this search, we retrieve records in which BOTH of the search terms are present. ,[object Object],This is illustrated by the shaded area overlapping the two circles representing all the records that contain both the word “poverty” and the word “crime.”,[object Object],poverty AND crime,[object Object],Notice how we do not retrieve any records with only “poverty” or only “crime.”,[object Object]
Andlogic,[object Object],Here is an example of how AND logic works:,[object Object]
ANDlogic Question: I'm interested in the relationship between poverty and crime.,[object Object],The more terms or concepts we combine in a search with ANDlogic, the fewerresults we will retrieve. ,[object Object],poverty AND crime AND gender,[object Object]
ANDlogic,[object Object],Both examples: ,[object Object]
NEAR: a restrictive AND,[object Object],In addition: a very few search engines make use of the proximity operator NEAR.,[object Object],A proximity operator determines the closeness of terms within the text of a source document. NEAR is a restrictive AND. ,[object Object],The closeness of the search terms is determined by the particular search engine.,[object Object],Most search engines default to proximity searching. ,[object Object]
Combined ANDand ORlogicQuestion: I want information about the behavior of cats.,[object Object],The use of parentheses in this search is known as forcing the order of processing.,[object Object],In this case, we surround the OR words with parentheses so that the search engine will process the two related terms as a unit. The search engine will use AND logic to combine this result with the second concept. Using this method, we are assured that the semantically-related OR terms are kept together as a logical unit.,[object Object],behavior AND,[object Object],(cats ORfelines),[object Object]
NOTlogic Question: I want information about cats, but I don't want to see anything about dogs.,[object Object],This search retrieved records in which ONLY ONE of the terms is present, the one we have selected by our search terms.,[object Object],This is illustrated by the shaded area with the word cats representing all the records containing the word “cats.”,[object Object],cats NOT dogs,[object Object],No records are retrieved in the area overlapping the two circles where the word “dogs” appears, even if the word “cats” appears there too.,[object Object]
NOTlogic,[object Object],NOT logic excludes records from your search results. ,[object Object],Here is an example of how NOTlogic works: ,[object Object]
NOTlogic,[object Object],“cats are smarter than dogs”,[object Object],Be careful using NOT: the term you want may be present in an important way in documents that also contain the word you wish to avoid. ,[object Object],For example, a Web page includes the statement “cats are smarter than dogs.” The search illustrated above would exclude this document from your results.,[object Object]
[object Object],more terms = more results,[object Object],[object Object],more terms = fewer results,[object Object],[object Object],narrowly defines results,[object Object]
Boolean Searching on the Internet,[object Object],When you use an Internet search engine, the use of Boolean logic may be manifested in three distinct ways: ,[object Object],Full Boolean logic with the use of the logical operators ,[object Object],Implied Boolean logic with keyword searching ,[object Object],Boolean logic using search form terminology,[object Object]
Quick Comparison ChartFull Boolean vs. Implied Boolean vs. Search Form ,[object Object]
1. Full Boolean Logic with Logical Operators,[object Object],Few search engines currently offer the option to do full Boolean searching with the use of the logical operators. ,[object Object],More often simpler methods of constructing search statements are used, specifically, implied Boolean logic and search form terminology. ,[object Object],These methods are covered below.,[object Object]
1. Full Boolean Logic with Logical Operators,[object Object],Experiment by constructing searches using Boolean logical operators. Try some of the search statements shown on the following slides.  Compare results from various search engines.  ,[object Object],Keep in mind that the search engine might require that the Boolean operators be typed in CAPITAL LETTERS.,[object Object],Most search engines provide help pages which explain the kind of searching the site performs.,[object Object]
1. Full Boolean Logic with Logical Operators,[object Object],Question: I need information about cats. ,[object Object],Boolean logic:OR,[object Object],Search:catsORfelines,[object Object],Question: I'm interested in dyslexia in adults. ,[object Object],Boolean logic:AND,[object Object],Search:dyslexiaANDadults,[object Object],Question: I'm interested in radiation, but not nuclear radiation. ,[object Object],Boolean logic:NOT,[object Object],Search:radiationNOTnuclear,[object Object]
1. Full Boolean Logic with Logical Operators,[object Object],Question: I want to learn about cat behavior. ,[object Object],Boolean logic:AND, OR,[object Object],Search:behavior catsORfelines,[object Object],This example combines implied ANDlogic—designatedby the space between the word “behavior” and “cats”—with the use of the Boolean OR operator.  The safest way to conduct this type of search is to use the advanced search page available on most search engine sites. This will be shown in option #3 below (search form terminology).,[object Object]
2. Implied Boolean Logic with Keyword Searching,[object Object],keyword searchingrefers to a search type in which one enters terms representing the concepts wished to retrieve. ,[object Object],Boolean operators are not used. ,[object Object],implied boolean logicrefers to a search in which symbols are used to represent Boolean logical operators, and is so common in Web search engines that it can be considered a de facto standard. ,[object Object]
2. Implied Boolean Logic with Keyword Searching,[object Object],Question: I'm interested in radiation, but not nuclear radiation. ,[object Object],Boolean logic:NOT,[object Object],Search:radiation  -nuclear,[object Object],Notice the minus sign (-) in front of the word “nuclear.”,[object Object],In this type of search, the absence of a symbol is also significant, as the space between keywords defaults to either OR logic or AND logic.,[object Object]
2. Implied Boolean Logic with Keyword Searching,[object Object],Question: I need information about cats. ,[object Object],Boolean logic:OR,[object Object],Search: [None] ,[object Object],There are probably no general search engines on the Web that interpret the space between keywords as the Boolean OR. Rather, the space between keywords is interpreted as AND. ,[object Object],To do an OR search, choose either Full Boolean Logic(#1 above) or Search Form Terminology (#3 below).,[object Object]
2. Implied Boolean Logic with Keyword Searching,[object Object],Virtually all general search engines on the Internet default to AND logic. ,[object Object],Question: I'm interested in dyslexia in adults. ,[object Object],Boolean logic:AND,[object Object],Search:dyslexia  +adults,[object Object],or (and usually),,[object Object],Search:dyslexia  adults (space implies AND),[object Object]
2. Implied Boolean Logic with Keyword Searching,[object Object],Question: I want to learn about cat behavior. ,[object Object],Boolean logic:AND, OR,[object Object],Search: [none],[object Object],As noted previously, a space between keywords implies AND; and generally, only use of full Boolean logic retrieves an OR search.,[object Object]
3. Boolean Logic Using Search Form Terminology,[object Object],Many search engines offer an advanced search page with a search form which allows the user to choose the Boolean operators from a menu. Usually the logical operator is expressed with substitute terminology rather than with the operator itself. ,[object Object]
3. Boolean Logic Using Search Form Terminology,[object Object],Question: I need information about cats ,[object Object],Boolean logic:OR,[object Object],Search:Each result must/should contain one, all, or a combination of subject keywords,[object Object],Question: I'm interested in dyslexia in adults. ,[object Object],Boolean logic:AND,[object Object],Search: Each result must/should contain both/all the subject keywords.,[object Object]
3. Boolean Logic Using Search Form Terminology,[object Object],Question: I'm interested in radiation, but not nuclear radiation. ,[object Object],Boolean logic:NOT,[object Object],Search:Each result must not/should not contain any of the undesired keywords.,[object Object],Question: I want to learn about cat behavior. ,[object Object],Boolean logic:AND, OR,[object Object],Search:Each result must/should contain the specific combination of keywords, if search form allows multiple search logic. ,[object Object]
Quick Comparison ChartFull Boolean vs. Implied Boolean vs. Search Form ,[object Object]

Más contenido relacionado

La actualidad más candente

Slawski New Approaches for Structured Data:Evolution of Question Answering
Slawski   New Approaches for Structured Data:Evolution of Question Answering Slawski   New Approaches for Structured Data:Evolution of Question Answering
Slawski New Approaches for Structured Data:Evolution of Question Answering Bill Slawski
 
Probabilistic information retrieval models & systems
Probabilistic information retrieval models & systemsProbabilistic information retrieval models & systems
Probabilistic information retrieval models & systemsSelman Bozkır
 
Semantic Search Engine: Semantic Search and Query Parsing with Phrases and En...
Semantic Search Engine: Semantic Search and Query Parsing with Phrases and En...Semantic Search Engine: Semantic Search and Query Parsing with Phrases and En...
Semantic Search Engine: Semantic Search and Query Parsing with Phrases and En...Koray Tugberk GUBUR
 
Coronavirus and Future of SEO: Digital Marketing and Remote Culture
Coronavirus and Future of SEO: Digital Marketing and Remote CultureCoronavirus and Future of SEO: Digital Marketing and Remote Culture
Coronavirus and Future of SEO: Digital Marketing and Remote CultureKoray Tugberk GUBUR
 
Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...
Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...
Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...Koray Tugberk GUBUR
 
Probabilistic retrieval model
Probabilistic retrieval modelProbabilistic retrieval model
Probabilistic retrieval modelbaradhimarch81
 
Search: Probabilistic Information Retrieval
Search: Probabilistic Information RetrievalSearch: Probabilistic Information Retrieval
Search: Probabilistic Information RetrievalVipul Munot
 
Lexical Semantics, Semantic Similarity and Relevance for SEO
Lexical Semantics, Semantic Similarity and Relevance for SEOLexical Semantics, Semantic Similarity and Relevance for SEO
Lexical Semantics, Semantic Similarity and Relevance for SEOKoray Tugberk GUBUR
 
Using Search Data To Create Better User Forecasts (& Then Fulfil Experiences)...
Using Search Data To Create Better User Forecasts (& Then Fulfil Experiences)...Using Search Data To Create Better User Forecasts (& Then Fulfil Experiences)...
Using Search Data To Create Better User Forecasts (& Then Fulfil Experiences)...Dan Taylor
 
How to Automatically Subcategorise Your Website Automatically With Python
How to Automatically Subcategorise Your Website Automatically With PythonHow to Automatically Subcategorise Your Website Automatically With Python
How to Automatically Subcategorise Your Website Automatically With Pythonsearchsolved
 
Information retrieval 7 boolean model
Information retrieval 7 boolean modelInformation retrieval 7 boolean model
Information retrieval 7 boolean modelVaibhav Khanna
 
Basic Formal Ontology: A Common Standard
Basic Formal Ontology: A Common StandardBasic Formal Ontology: A Common Standard
Basic Formal Ontology: A Common StandardBarry Smith
 
William slawski-google-patents- how-do-they-influence-search
William slawski-google-patents- how-do-they-influence-searchWilliam slawski-google-patents- how-do-they-influence-search
William slawski-google-patents- how-do-they-influence-searchBill Slawski
 
SEO Content Automation
SEO Content AutomationSEO Content Automation
SEO Content AutomationDylan Fuler
 
Ontology and Ontology Libraries: a Critical Study
Ontology and Ontology Libraries: a Critical StudyOntology and Ontology Libraries: a Critical Study
Ontology and Ontology Libraries: a Critical StudyDebashisnaskar
 

La actualidad más candente (20)

Slawski New Approaches for Structured Data:Evolution of Question Answering
Slawski   New Approaches for Structured Data:Evolution of Question Answering Slawski   New Approaches for Structured Data:Evolution of Question Answering
Slawski New Approaches for Structured Data:Evolution of Question Answering
 
Probabilistic information retrieval models & systems
Probabilistic information retrieval models & systemsProbabilistic information retrieval models & systems
Probabilistic information retrieval models & systems
 
Semantic Search Engine: Semantic Search and Query Parsing with Phrases and En...
Semantic Search Engine: Semantic Search and Query Parsing with Phrases and En...Semantic Search Engine: Semantic Search and Query Parsing with Phrases and En...
Semantic Search Engine: Semantic Search and Query Parsing with Phrases and En...
 
Coronavirus and Future of SEO: Digital Marketing and Remote Culture
Coronavirus and Future of SEO: Digital Marketing and Remote CultureCoronavirus and Future of SEO: Digital Marketing and Remote Culture
Coronavirus and Future of SEO: Digital Marketing and Remote Culture
 
Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...
Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...
Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...
 
Probabilistic retrieval model
Probabilistic retrieval modelProbabilistic retrieval model
Probabilistic retrieval model
 
Search: Probabilistic Information Retrieval
Search: Probabilistic Information RetrievalSearch: Probabilistic Information Retrieval
Search: Probabilistic Information Retrieval
 
Lexical Semantics, Semantic Similarity and Relevance for SEO
Lexical Semantics, Semantic Similarity and Relevance for SEOLexical Semantics, Semantic Similarity and Relevance for SEO
Lexical Semantics, Semantic Similarity and Relevance for SEO
 
40 Deep #SEO Insights for 2023
40 Deep #SEO Insights for 202340 Deep #SEO Insights for 2023
40 Deep #SEO Insights for 2023
 
Information Retrieval
Information RetrievalInformation Retrieval
Information Retrieval
 
Searching techniques
Searching techniquesSearching techniques
Searching techniques
 
Using Search Data To Create Better User Forecasts (& Then Fulfil Experiences)...
Using Search Data To Create Better User Forecasts (& Then Fulfil Experiences)...Using Search Data To Create Better User Forecasts (& Then Fulfil Experiences)...
Using Search Data To Create Better User Forecasts (& Then Fulfil Experiences)...
 
Boolean Training
Boolean TrainingBoolean Training
Boolean Training
 
How to Automatically Subcategorise Your Website Automatically With Python
How to Automatically Subcategorise Your Website Automatically With PythonHow to Automatically Subcategorise Your Website Automatically With Python
How to Automatically Subcategorise Your Website Automatically With Python
 
Information retrieval 7 boolean model
Information retrieval 7 boolean modelInformation retrieval 7 boolean model
Information retrieval 7 boolean model
 
Basic Formal Ontology: A Common Standard
Basic Formal Ontology: A Common StandardBasic Formal Ontology: A Common Standard
Basic Formal Ontology: A Common Standard
 
The Divine Command Theory
The Divine Command TheoryThe Divine Command Theory
The Divine Command Theory
 
William slawski-google-patents- how-do-they-influence-search
William slawski-google-patents- how-do-they-influence-searchWilliam slawski-google-patents- how-do-they-influence-search
William slawski-google-patents- how-do-they-influence-search
 
SEO Content Automation
SEO Content AutomationSEO Content Automation
SEO Content Automation
 
Ontology and Ontology Libraries: a Critical Study
Ontology and Ontology Libraries: a Critical StudyOntology and Ontology Libraries: a Critical Study
Ontology and Ontology Libraries: a Critical Study
 

Destacado

Introduction to boolean search
Introduction to boolean searchIntroduction to boolean search
Introduction to boolean searchKey Resourcing
 
The Evolution of Search
The Evolution of SearchThe Evolution of Search
The Evolution of SearchTom Anthony
 
Boolean Logic: how to talk to search engines in their own language
Boolean Logic: how to talk to search engines in their own languageBoolean Logic: how to talk to search engines in their own language
Boolean Logic: how to talk to search engines in their own languageBoxford Library
 
Boolean- Search Basics
Boolean- Search BasicsBoolean- Search Basics
Boolean- Search BasicsRithesh Nair
 
Sourcing using boolean search and other tips 2014
Sourcing using boolean search and other tips 2014Sourcing using boolean search and other tips 2014
Sourcing using boolean search and other tips 2014Claudine Halcomb
 
Boolean Search.. A Basic Level for internal KT/Reference material
Boolean Search.. A Basic Level for internal KT/Reference materialBoolean Search.. A Basic Level for internal KT/Reference material
Boolean Search.. A Basic Level for internal KT/Reference materialDurga Palakurthy
 
Boolean logic
Boolean logicBoolean logic
Boolean logicnandolea
 
Advanced Recruiting Techniques
Advanced Recruiting TechniquesAdvanced Recruiting Techniques
Advanced Recruiting TechniquesShahnawaz Malek
 
3 Sourcing Techniques You Can Use Today
3 Sourcing Techniques You Can Use Today3 Sourcing Techniques You Can Use Today
3 Sourcing Techniques You Can Use TodayRecruiting.com
 
LinkekIn Advanced Search
LinkekIn Advanced SearchLinkekIn Advanced Search
LinkekIn Advanced SearchSLATEMCC-Vets
 
Flexible Shape Matching
Flexible Shape MatchingFlexible Shape Matching
Flexible Shape MatchingAhmed Gad
 
Creating a User-Friendly Search UI with Drupal - Presentation at DrupalCamp T...
Creating a User-Friendly Search UI with Drupal - Presentation at DrupalCamp T...Creating a User-Friendly Search UI with Drupal - Presentation at DrupalCamp T...
Creating a User-Friendly Search UI with Drupal - Presentation at DrupalCamp T...Suzanne Dergacheva
 
How to do a boolean search in google
How to do a boolean search in googleHow to do a boolean search in google
How to do a boolean search in googleCTLScotland
 

Destacado (20)

Introduction to boolean search
Introduction to boolean searchIntroduction to boolean search
Introduction to boolean search
 
The Evolution of Search
The Evolution of SearchThe Evolution of Search
The Evolution of Search
 
Boolean Logic: how to talk to search engines in their own language
Boolean Logic: how to talk to search engines in their own languageBoolean Logic: how to talk to search engines in their own language
Boolean Logic: how to talk to search engines in their own language
 
Boolean- Search Basics
Boolean- Search BasicsBoolean- Search Basics
Boolean- Search Basics
 
Sourcing using boolean search and other tips 2014
Sourcing using boolean search and other tips 2014Sourcing using boolean search and other tips 2014
Sourcing using boolean search and other tips 2014
 
Boolean Operators
Boolean OperatorsBoolean Operators
Boolean Operators
 
Boolean Search.. A Basic Level for internal KT/Reference material
Boolean Search.. A Basic Level for internal KT/Reference materialBoolean Search.. A Basic Level for internal KT/Reference material
Boolean Search.. A Basic Level for internal KT/Reference material
 
Boolean Logic
Boolean LogicBoolean Logic
Boolean Logic
 
Ch 5 boolean logic
Ch 5 boolean logicCh 5 boolean logic
Ch 5 boolean logic
 
Boolean Logic
Boolean LogicBoolean Logic
Boolean Logic
 
Boolean logic
Boolean logicBoolean logic
Boolean logic
 
Boolean+logic
Boolean+logicBoolean+logic
Boolean+logic
 
Advanced Recruiting Techniques
Advanced Recruiting TechniquesAdvanced Recruiting Techniques
Advanced Recruiting Techniques
 
3 Sourcing Techniques You Can Use Today
3 Sourcing Techniques You Can Use Today3 Sourcing Techniques You Can Use Today
3 Sourcing Techniques You Can Use Today
 
LinkekIn Advanced Search
LinkekIn Advanced SearchLinkekIn Advanced Search
LinkekIn Advanced Search
 
8051 microcontroller
8051 microcontroller8051 microcontroller
8051 microcontroller
 
Flexible Shape Matching
Flexible Shape MatchingFlexible Shape Matching
Flexible Shape Matching
 
Facet and Search API
Facet and Search APIFacet and Search API
Facet and Search API
 
Creating a User-Friendly Search UI with Drupal - Presentation at DrupalCamp T...
Creating a User-Friendly Search UI with Drupal - Presentation at DrupalCamp T...Creating a User-Friendly Search UI with Drupal - Presentation at DrupalCamp T...
Creating a User-Friendly Search UI with Drupal - Presentation at DrupalCamp T...
 
How to do a boolean search in google
How to do a boolean search in googleHow to do a boolean search in google
How to do a boolean search in google
 

Similar a Boolean Logic Searching: A Primer

Internet searching
Internet searchingInternet searching
Internet searchingmuaz mustafa
 
Google Advance Searching- Information System Audit & Control Report
Google Advance Searching- Information System Audit & Control ReportGoogle Advance Searching- Information System Audit & Control Report
Google Advance Searching- Information System Audit & Control ReportShahzeb Pirzada
 
E-LEARN: Search Strategies
E-LEARN: Search StrategiesE-LEARN: Search Strategies
E-LEARN: Search StrategiesRose Petralia
 
Model of information retrieval (3)
Model  of information retrieval (3)Model  of information retrieval (3)
Model of information retrieval (3)9866825059
 
Boolean Searching
Boolean SearchingBoolean Searching
Boolean Searchinghisled
 
Searching the Internet 'techniques'.
Searching the Internet 'techniques'.Searching the Internet 'techniques'.
Searching the Internet 'techniques'.Hala Nur
 
Introduction to Controlled Vocabulary
Introduction to Controlled VocabularyIntroduction to Controlled Vocabulary
Introduction to Controlled VocabularyRebecca Thompson
 
basis of infromation retrival part 2
basis of infromation retrival part 2basis of infromation retrival part 2
basis of infromation retrival part 2Saroj Suwal
 
Intro to searching1
Intro to searching1Intro to searching1
Intro to searching1Michael Saar
 
Search stratgies ilt
Search stratgies iltSearch stratgies ilt
Search stratgies iltphoebeleung
 

Similar a Boolean Logic Searching: A Primer (20)

Boolean
BooleanBoolean
Boolean
 
Internet searching
Internet searchingInternet searching
Internet searching
 
Google Advance Searching- Information System Audit & Control Report
Google Advance Searching- Information System Audit & Control ReportGoogle Advance Searching- Information System Audit & Control Report
Google Advance Searching- Information System Audit & Control Report
 
Reference Lesson
Reference LessonReference Lesson
Reference Lesson
 
E-LEARN: Search Strategies
E-LEARN: Search StrategiesE-LEARN: Search Strategies
E-LEARN: Search Strategies
 
Soni boolean
Soni booleanSoni boolean
Soni boolean
 
Reference Lesson
Reference LessonReference Lesson
Reference Lesson
 
Model of information retrieval (3)
Model  of information retrieval (3)Model  of information retrieval (3)
Model of information retrieval (3)
 
Boolean guidance
Boolean guidanceBoolean guidance
Boolean guidance
 
Boolean Guidance
Boolean GuidanceBoolean Guidance
Boolean Guidance
 
Boolean Searching
Boolean SearchingBoolean Searching
Boolean Searching
 
BOOLEAN_SEARCHING.ppt
BOOLEAN_SEARCHING.pptBOOLEAN_SEARCHING.ppt
BOOLEAN_SEARCHING.ppt
 
Searching the Internet 'techniques'.
Searching the Internet 'techniques'.Searching the Internet 'techniques'.
Searching the Internet 'techniques'.
 
Internet search techniques by zakir hossain
Internet search techniques by zakir hossainInternet search techniques by zakir hossain
Internet search techniques by zakir hossain
 
Boolean[1] copy
Boolean[1] copyBoolean[1] copy
Boolean[1] copy
 
Introduction to Controlled Vocabulary
Introduction to Controlled VocabularyIntroduction to Controlled Vocabulary
Introduction to Controlled Vocabulary
 
basis of infromation retrival part 2
basis of infromation retrival part 2basis of infromation retrival part 2
basis of infromation retrival part 2
 
Surfing the web
Surfing the webSurfing the web
Surfing the web
 
Intro to searching1
Intro to searching1Intro to searching1
Intro to searching1
 
Search stratgies ilt
Search stratgies iltSearch stratgies ilt
Search stratgies ilt
 

Más de cswetzel

Academic Research Resources
Academic Research ResourcesAcademic Research Resources
Academic Research Resourcescswetzel
 
Plagiarism: What's the BIG DEAL?
Plagiarism: What's the BIG DEAL?Plagiarism: What's the BIG DEAL?
Plagiarism: What's the BIG DEAL?cswetzel
 
Make Mine To-Go: Comparison of Web-Based Bibliographic Management Tools
Make Mine To-Go: Comparison of Web-Based Bibliographic Management ToolsMake Mine To-Go: Comparison of Web-Based Bibliographic Management Tools
Make Mine To-Go: Comparison of Web-Based Bibliographic Management Toolscswetzel
 
Twitter: As A Professional Development Tool
Twitter: As A Professional Development ToolTwitter: As A Professional Development Tool
Twitter: As A Professional Development Toolcswetzel
 
Creating Futures Through Technology Conference 2011
Creating Futures Through Technology Conference 2011Creating Futures Through Technology Conference 2011
Creating Futures Through Technology Conference 2011cswetzel
 
Musica Indigena
Musica IndigenaMusica Indigena
Musica Indigenacswetzel
 
La Virgen de Guadalupe
La Virgen de GuadalupeLa Virgen de Guadalupe
La Virgen de Guadalupecswetzel
 

Más de cswetzel (7)

Academic Research Resources
Academic Research ResourcesAcademic Research Resources
Academic Research Resources
 
Plagiarism: What's the BIG DEAL?
Plagiarism: What's the BIG DEAL?Plagiarism: What's the BIG DEAL?
Plagiarism: What's the BIG DEAL?
 
Make Mine To-Go: Comparison of Web-Based Bibliographic Management Tools
Make Mine To-Go: Comparison of Web-Based Bibliographic Management ToolsMake Mine To-Go: Comparison of Web-Based Bibliographic Management Tools
Make Mine To-Go: Comparison of Web-Based Bibliographic Management Tools
 
Twitter: As A Professional Development Tool
Twitter: As A Professional Development ToolTwitter: As A Professional Development Tool
Twitter: As A Professional Development Tool
 
Creating Futures Through Technology Conference 2011
Creating Futures Through Technology Conference 2011Creating Futures Through Technology Conference 2011
Creating Futures Through Technology Conference 2011
 
Musica Indigena
Musica IndigenaMusica Indigena
Musica Indigena
 
La Virgen de Guadalupe
La Virgen de GuadalupeLa Virgen de Guadalupe
La Virgen de Guadalupe
 

Último

PISA-VET launch_El Iza Mohamedou_19 March 2024.pptx
PISA-VET launch_El Iza Mohamedou_19 March 2024.pptxPISA-VET launch_El Iza Mohamedou_19 March 2024.pptx
PISA-VET launch_El Iza Mohamedou_19 March 2024.pptxEduSkills OECD
 
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptxClinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptxraviapr7
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICESayali Powar
 
CapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapitolTechU
 
Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.raviapr7
 
The basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxThe basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxheathfieldcps1
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17Celine George
 
3.21.24 The Origins of Black Power.pptx
3.21.24  The Origins of Black Power.pptx3.21.24  The Origins of Black Power.pptx
3.21.24 The Origins of Black Power.pptxmary850239
 
Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...raviapr7
 
Practical Research 1 Lesson 9 Scope and delimitation.pptx
Practical Research 1 Lesson 9 Scope and delimitation.pptxPractical Research 1 Lesson 9 Scope and delimitation.pptx
Practical Research 1 Lesson 9 Scope and delimitation.pptxKatherine Villaluna
 
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdf
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdfP4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdf
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdfYu Kanazawa / Osaka University
 
Diploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfDiploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfMohonDas
 
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptxSandy Millin
 
UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024UKCGE
 
Presentation on the Basics of Writing. Writing a Paragraph
Presentation on the Basics of Writing. Writing a ParagraphPresentation on the Basics of Writing. Writing a Paragraph
Presentation on the Basics of Writing. Writing a ParagraphNetziValdelomar1
 
The Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George WellsThe Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George WellsEugene Lysak
 
Practical Research 1: Lesson 8 Writing the Thesis Statement.pptx
Practical Research 1: Lesson 8 Writing the Thesis Statement.pptxPractical Research 1: Lesson 8 Writing the Thesis Statement.pptx
Practical Research 1: Lesson 8 Writing the Thesis Statement.pptxKatherine Villaluna
 
Ultra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxUltra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxDr. Asif Anas
 
Patterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptxPatterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptxMYDA ANGELICA SUAN
 
The Singapore Teaching Practice document
The Singapore Teaching Practice documentThe Singapore Teaching Practice document
The Singapore Teaching Practice documentXsasf Sfdfasd
 

Último (20)

PISA-VET launch_El Iza Mohamedou_19 March 2024.pptx
PISA-VET launch_El Iza Mohamedou_19 March 2024.pptxPISA-VET launch_El Iza Mohamedou_19 March 2024.pptx
PISA-VET launch_El Iza Mohamedou_19 March 2024.pptx
 
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptxClinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICE
 
CapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptx
 
Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.
 
The basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxThe basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptx
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17
 
3.21.24 The Origins of Black Power.pptx
3.21.24  The Origins of Black Power.pptx3.21.24  The Origins of Black Power.pptx
3.21.24 The Origins of Black Power.pptx
 
Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...
 
Practical Research 1 Lesson 9 Scope and delimitation.pptx
Practical Research 1 Lesson 9 Scope and delimitation.pptxPractical Research 1 Lesson 9 Scope and delimitation.pptx
Practical Research 1 Lesson 9 Scope and delimitation.pptx
 
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdf
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdfP4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdf
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdf
 
Diploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfDiploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdf
 
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
 
UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024
 
Presentation on the Basics of Writing. Writing a Paragraph
Presentation on the Basics of Writing. Writing a ParagraphPresentation on the Basics of Writing. Writing a Paragraph
Presentation on the Basics of Writing. Writing a Paragraph
 
The Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George WellsThe Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George Wells
 
Practical Research 1: Lesson 8 Writing the Thesis Statement.pptx
Practical Research 1: Lesson 8 Writing the Thesis Statement.pptxPractical Research 1: Lesson 8 Writing the Thesis Statement.pptx
Practical Research 1: Lesson 8 Writing the Thesis Statement.pptx
 
Ultra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxUltra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptx
 
Patterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptxPatterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptx
 
The Singapore Teaching Practice document
The Singapore Teaching Practice documentThe Singapore Teaching Practice document
The Singapore Teaching Practice document
 

Boolean Logic Searching: A Primer

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. the shaded circle with the word university representing all the records that contain the word “university.”
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.