SlideShare a Scribd company logo
1 of 9
Indexing: Automatic vs. Automated Corina Galvan	LS5813	Fall 2009
Introduction After reviewing the “conceptual cleanup” survey that our class took, it appeared that only 34% of our class stated that they completely understood this concept .  So I chose to review this concept for the other 66% of our class that are almost there but not quite.
Indexing According to Chu (2003)  indexing uses terms, either derived or assigned, to represent information facets of the original document.  What does that exactly mean?  Words or phrases are used to represent the information in a document when searched for. Ex:  A document about the life cycle of a butterfly could be indexed with butterfly, life cycle.
Indexing Indexing activities can be categorized into two types: intellectual and mechanical. Intellectual indexing is performed by a person, e.g. assigning terms, controlled vocabularies. Mechanical indexing is performed by a machine., e.g. alphabetizing and formatting. This is where automatic and automated indexing comes in.
Automatic vs. Automated Automated indexing is the combined efforts of human and machine. A person would perform the intellectual portion of the indexing and a machine will perform the mechanical portion. Automatic indexing is where the intellectual and mechanical potion of the indexing is completely performed by a machine.  This is also known as machine indexing. There are of course advantages and disadvantages to using wither method and that will explored in the next few slides.
Automatic vs. Automated Intellectual Indexing: Automated indexing as mentioned before relies on the human indexer and in this case it is slightly superior to automatic indexing. According to Chu(2003) computers can only deal with intellectual indexing as well as a human indexer and sometimes much worse, because it does not have the analytical power to think like a human being. So the outcome of the intellectual indexing may not be as good as the indexing conducted by a human indexer.
Automatic vs. Automated Time/Cost efficiency: The time is take to complete an index is greatly reduced with the use of mechanical indexing.  Automatic is more time efficient than automated but automated does greatly benefit from mechanical indexing. By allowing the mechanical aspect of the indexing to be completed by q machine, it allows the human indexer to focus more on the intellectual aspect of the indexing.  The time efficiency of the indexing correlates to the cost efficiency of the indexing. A Chu (2003) stated, automatic indexing appears to be an attractive solution to the high cost associated with manual indexing.
Automatic vs. Automated Consistency: This is where automatic has an edge over automated.  A machine has the ability to be consistent with its indexing as opposed to a human indexer, because what one human indexer may think can differ from another. By standardizing it with a machine it would eliminate that problem.
Works  Chu, H. (2003). Information representation and retrieval in the digital age. Medford, NJ: American Society for Information Science and Technology. Clip Art from Microsoft Office 2007 Clip Art

More Related Content

What's hot

Tovek Presentation 2 by Livio Costantini
Tovek Presentation 2 by Livio CostantiniTovek Presentation 2 by Livio Costantini
Tovek Presentation 2 by Livio Costantini
maxfalc
 
Information retrieval
Information retrievalInformation retrieval
Information retrieval
hplap
 
1. indexing and abstracting
1. indexing and abstracting1. indexing and abstracting
1. indexing and abstracting
Moses Mbanje
 
Information retrieval-systems notes
Information retrieval-systems notesInformation retrieval-systems notes
Information retrieval-systems notes
BAIRAVI T
 
Text databases and information retrieval
Text databases and information retrievalText databases and information retrieval
Text databases and information retrieval
unyil96
 
Hendrik flash talk metadata creation 2010 05-19
Hendrik flash talk metadata creation 2010 05-19Hendrik flash talk metadata creation 2010 05-19
Hendrik flash talk metadata creation 2010 05-19
Trinity College Dublin
 

What's hot (20)

Ir 01
Ir   01Ir   01
Ir 01
 
Web_Mining_Overview_Nfaoui_El_Habib
Web_Mining_Overview_Nfaoui_El_HabibWeb_Mining_Overview_Nfaoui_El_Habib
Web_Mining_Overview_Nfaoui_El_Habib
 
Information_Retrieval_Models_Nfaoui_El_Habib
Information_Retrieval_Models_Nfaoui_El_HabibInformation_Retrieval_Models_Nfaoui_El_Habib
Information_Retrieval_Models_Nfaoui_El_Habib
 
Tovek Presentation 2 by Livio Costantini
Tovek Presentation 2 by Livio CostantiniTovek Presentation 2 by Livio Costantini
Tovek Presentation 2 by Livio Costantini
 
Ijetcas14 624
Ijetcas14 624Ijetcas14 624
Ijetcas14 624
 
IJRET-V1I1P5 - A User Friendly Mobile Search Engine for fast Accessing the Da...
IJRET-V1I1P5 - A User Friendly Mobile Search Engine for fast Accessing the Da...IJRET-V1I1P5 - A User Friendly Mobile Search Engine for fast Accessing the Da...
IJRET-V1I1P5 - A User Friendly Mobile Search Engine for fast Accessing the Da...
 
Information retrieval
Information retrievalInformation retrieval
Information retrieval
 
Ijetcas14 639
Ijetcas14 639Ijetcas14 639
Ijetcas14 639
 
1. indexing and abstracting
1. indexing and abstracting1. indexing and abstracting
1. indexing and abstracting
 
SOFTWARE ENGINEERING AND SOFTWARE PROJECT MANAGEMENT
SOFTWARE ENGINEERING AND SOFTWARE PROJECT MANAGEMENTSOFTWARE ENGINEERING AND SOFTWARE PROJECT MANAGEMENT
SOFTWARE ENGINEERING AND SOFTWARE PROJECT MANAGEMENT
 
Information retrieval-systems notes
Information retrieval-systems notesInformation retrieval-systems notes
Information retrieval-systems notes
 
The search engine index
The search engine indexThe search engine index
The search engine index
 
Post coordinate indexing .. Library and information science
Post coordinate indexing .. Library and information sciencePost coordinate indexing .. Library and information science
Post coordinate indexing .. Library and information science
 
Information retrieval introduction
Information retrieval introductionInformation retrieval introduction
Information retrieval introduction
 
Research on ontology based information retrieval techniques
Research on ontology based information retrieval techniquesResearch on ontology based information retrieval techniques
Research on ontology based information retrieval techniques
 
Text databases and information retrieval
Text databases and information retrievalText databases and information retrieval
Text databases and information retrieval
 
Ijet journal
Ijet journalIjet journal
Ijet journal
 
4.4 text mining
4.4 text mining4.4 text mining
4.4 text mining
 
Konsep Dasar Information Retrieval - Edi faizal
Konsep Dasar Information Retrieval - Edi faizal Konsep Dasar Information Retrieval - Edi faizal
Konsep Dasar Information Retrieval - Edi faizal
 
Hendrik flash talk metadata creation 2010 05-19
Hendrik flash talk metadata creation 2010 05-19Hendrik flash talk metadata creation 2010 05-19
Hendrik flash talk metadata creation 2010 05-19
 

Similar to Indexing Automated Vs Automatic Galvan1

901470_Chap1.ppt about to Artificial Intellgence
901470_Chap1.ppt about to Artificial Intellgence901470_Chap1.ppt about to Artificial Intellgence
901470_Chap1.ppt about to Artificial Intellgence
chougulesup79
 

Similar to Indexing Automated Vs Automatic Galvan1 (20)

chapter 1 AI.pptx
chapter 1 AI.pptxchapter 1 AI.pptx
chapter 1 AI.pptx
 
901470_Chap1.ppt
901470_Chap1.ppt901470_Chap1.ppt
901470_Chap1.ppt
 
901470_Chap1.ppt
901470_Chap1.ppt901470_Chap1.ppt
901470_Chap1.ppt
 
901470_Chap1.ppt
901470_Chap1.ppt901470_Chap1.ppt
901470_Chap1.ppt
 
AI_Intro1.ppt
AI_Intro1.pptAI_Intro1.ppt
AI_Intro1.ppt
 
Chap1.ppt
Chap1.pptChap1.ppt
Chap1.ppt
 
901470_Chap1.ppt
901470_Chap1.ppt901470_Chap1.ppt
901470_Chap1.ppt
 
901470_Chap1.ppt
901470_Chap1.ppt901470_Chap1.ppt
901470_Chap1.ppt
 
901470_Chap1.ppt
901470_Chap1.ppt901470_Chap1.ppt
901470_Chap1.ppt
 
901470_Chap1.ppt about to Artificial Intellgence
901470_Chap1.ppt about to Artificial Intellgence901470_Chap1.ppt about to Artificial Intellgence
901470_Chap1.ppt about to Artificial Intellgence
 
artificial intelligence basis-introduction
artificial intelligence basis-introductionartificial intelligence basis-introduction
artificial intelligence basis-introduction
 
901470 chap1
901470 chap1901470 chap1
901470 chap1
 
901470_Chap1 (1).ppt
901470_Chap1 (1).ppt901470_Chap1 (1).ppt
901470_Chap1 (1).ppt
 
Artificial Intelligence for Business.ppt
Artificial Intelligence for Business.pptArtificial Intelligence for Business.ppt
Artificial Intelligence for Business.ppt
 
Review on Document Recommender Systems Using Hierarchical Clustering Techniques
Review on Document Recommender Systems Using Hierarchical Clustering TechniquesReview on Document Recommender Systems Using Hierarchical Clustering Techniques
Review on Document Recommender Systems Using Hierarchical Clustering Techniques
 
Lect 01, 02
Lect 01, 02Lect 01, 02
Lect 01, 02
 
901470_Chap1.ppt.artificial intelligence
901470_Chap1.ppt.artificial intelligence901470_Chap1.ppt.artificial intelligence
901470_Chap1.ppt.artificial intelligence
 
Artificial Intelligence PPT.ppt
Artificial Intelligence PPT.pptArtificial Intelligence PPT.ppt
Artificial Intelligence PPT.ppt
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
1.introduction to ai
1.introduction to ai1.introduction to ai
1.introduction to ai
 

Recently uploaded

會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
中 央社
 
Poster_density_driven_with_fracture_MLMC.pdf
Poster_density_driven_with_fracture_MLMC.pdfPoster_density_driven_with_fracture_MLMC.pdf
Poster_density_driven_with_fracture_MLMC.pdf
Alexander Litvinenko
 
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
中 央社
 

Recently uploaded (20)

Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45
Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45
Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45
 
Benefits and Challenges of OER by Shweta Babel.pptx
Benefits and Challenges of OER by Shweta Babel.pptxBenefits and Challenges of OER by Shweta Babel.pptx
Benefits and Challenges of OER by Shweta Babel.pptx
 
An overview of the various scriptures in Hinduism
An overview of the various scriptures in HinduismAn overview of the various scriptures in Hinduism
An overview of the various scriptures in Hinduism
 
IPL Online Quiz by Pragya; Question Set.
IPL Online Quiz by Pragya; Question Set.IPL Online Quiz by Pragya; Question Set.
IPL Online Quiz by Pragya; Question Set.
 
Andreas Schleicher presents at the launch of What does child empowerment mean...
Andreas Schleicher presents at the launch of What does child empowerment mean...Andreas Schleicher presents at the launch of What does child empowerment mean...
Andreas Schleicher presents at the launch of What does child empowerment mean...
 
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
 
ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH FORM 50 CÂU TRẮC NGHI...
ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH FORM 50 CÂU TRẮC NGHI...ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH FORM 50 CÂU TRẮC NGHI...
ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH FORM 50 CÂU TRẮC NGHI...
 
The Ball Poem- John Berryman_20240518_001617_0000.pptx
The Ball Poem- John Berryman_20240518_001617_0000.pptxThe Ball Poem- John Berryman_20240518_001617_0000.pptx
The Ball Poem- John Berryman_20240518_001617_0000.pptx
 
Graduate Outcomes Presentation Slides - English (v3).pptx
Graduate Outcomes Presentation Slides - English (v3).pptxGraduate Outcomes Presentation Slides - English (v3).pptx
Graduate Outcomes Presentation Slides - English (v3).pptx
 
24 ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH SỞ GIÁO DỤC HẢI DƯ...
24 ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH SỞ GIÁO DỤC HẢI DƯ...24 ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH SỞ GIÁO DỤC HẢI DƯ...
24 ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH SỞ GIÁO DỤC HẢI DƯ...
 
Poster_density_driven_with_fracture_MLMC.pdf
Poster_density_driven_with_fracture_MLMC.pdfPoster_density_driven_with_fracture_MLMC.pdf
Poster_density_driven_with_fracture_MLMC.pdf
 
An Overview of the Odoo 17 Knowledge App
An Overview of the Odoo 17 Knowledge AppAn Overview of the Odoo 17 Knowledge App
An Overview of the Odoo 17 Knowledge App
 
MOOD STABLIZERS DRUGS.pptx
MOOD     STABLIZERS           DRUGS.pptxMOOD     STABLIZERS           DRUGS.pptx
MOOD STABLIZERS DRUGS.pptx
 
Envelope of Discrepancy in Orthodontics: Enhancing Precision in Treatment
 Envelope of Discrepancy in Orthodontics: Enhancing Precision in Treatment Envelope of Discrepancy in Orthodontics: Enhancing Precision in Treatment
Envelope of Discrepancy in Orthodontics: Enhancing Precision in Treatment
 
ANTI PARKISON DRUGS.pptx
ANTI         PARKISON          DRUGS.pptxANTI         PARKISON          DRUGS.pptx
ANTI PARKISON DRUGS.pptx
 
philosophy and it's principles based on the life
philosophy and it's principles based on the lifephilosophy and it's principles based on the life
philosophy and it's principles based on the life
 
Chapter 7 Pharmacosy Traditional System of Medicine & Ayurvedic Preparations ...
Chapter 7 Pharmacosy Traditional System of Medicine & Ayurvedic Preparations ...Chapter 7 Pharmacosy Traditional System of Medicine & Ayurvedic Preparations ...
Chapter 7 Pharmacosy Traditional System of Medicine & Ayurvedic Preparations ...
 
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
 
TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT VẬT LÝ 2024 - TỪ CÁC TRƯỜNG, TRƯ...
TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT VẬT LÝ 2024 - TỪ CÁC TRƯỜNG, TRƯ...TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT VẬT LÝ 2024 - TỪ CÁC TRƯỜNG, TRƯ...
TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT VẬT LÝ 2024 - TỪ CÁC TRƯỜNG, TRƯ...
 
Word Stress rules esl .pptx
Word Stress rules esl               .pptxWord Stress rules esl               .pptx
Word Stress rules esl .pptx
 

Indexing Automated Vs Automatic Galvan1

  • 1. Indexing: Automatic vs. Automated Corina Galvan LS5813 Fall 2009
  • 2. Introduction After reviewing the “conceptual cleanup” survey that our class took, it appeared that only 34% of our class stated that they completely understood this concept . So I chose to review this concept for the other 66% of our class that are almost there but not quite.
  • 3. Indexing According to Chu (2003) indexing uses terms, either derived or assigned, to represent information facets of the original document. What does that exactly mean? Words or phrases are used to represent the information in a document when searched for. Ex: A document about the life cycle of a butterfly could be indexed with butterfly, life cycle.
  • 4. Indexing Indexing activities can be categorized into two types: intellectual and mechanical. Intellectual indexing is performed by a person, e.g. assigning terms, controlled vocabularies. Mechanical indexing is performed by a machine., e.g. alphabetizing and formatting. This is where automatic and automated indexing comes in.
  • 5. Automatic vs. Automated Automated indexing is the combined efforts of human and machine. A person would perform the intellectual portion of the indexing and a machine will perform the mechanical portion. Automatic indexing is where the intellectual and mechanical potion of the indexing is completely performed by a machine. This is also known as machine indexing. There are of course advantages and disadvantages to using wither method and that will explored in the next few slides.
  • 6. Automatic vs. Automated Intellectual Indexing: Automated indexing as mentioned before relies on the human indexer and in this case it is slightly superior to automatic indexing. According to Chu(2003) computers can only deal with intellectual indexing as well as a human indexer and sometimes much worse, because it does not have the analytical power to think like a human being. So the outcome of the intellectual indexing may not be as good as the indexing conducted by a human indexer.
  • 7. Automatic vs. Automated Time/Cost efficiency: The time is take to complete an index is greatly reduced with the use of mechanical indexing. Automatic is more time efficient than automated but automated does greatly benefit from mechanical indexing. By allowing the mechanical aspect of the indexing to be completed by q machine, it allows the human indexer to focus more on the intellectual aspect of the indexing. The time efficiency of the indexing correlates to the cost efficiency of the indexing. A Chu (2003) stated, automatic indexing appears to be an attractive solution to the high cost associated with manual indexing.
  • 8. Automatic vs. Automated Consistency: This is where automatic has an edge over automated. A machine has the ability to be consistent with its indexing as opposed to a human indexer, because what one human indexer may think can differ from another. By standardizing it with a machine it would eliminate that problem.
  • 9. Works Chu, H. (2003). Information representation and retrieval in the digital age. Medford, NJ: American Society for Information Science and Technology. Clip Art from Microsoft Office 2007 Clip Art