SlideShare une entreprise Scribd logo
1  sur  15
Metadata & Tagging MDIA5003 – Assignment 4 By Marylove, Sky & Vivian
Table of Contents  Summary  Analysis  Question Time
Summary “Information about information - labeling, cataloging and descriptive information structured in such a way that allows Web pages to be properly searched and processed in particular by computer “ (Metadata, 2002) There are three identified core practices in metadata generation (Brun, 2008, p. 172) These are; Tagging Linking browsing What is Metadata
Summary A tag is a keyword or term associated with or assigned to a piece of information For example: a picture Article Video clip  A tag describes the item and enabling keyword-based classification of information and is usually chosen informally and personally by item author/creator or by its consumer/viewers/community (Red Alkemi, 2011) What is Tagging
A term used together with folksonomy folksonomy - a "bottom-up" organizational category that "emerge[s] when individuals tag or describe information and images and those tags are pooled". Alternative for Taxonomy What is Folksonomy?
Summary Types of Tags Identify what or whom it is about?  Identify what it is  Identify who owns it  Refining Categories Identifying Qualities or Characteristics  Self Reference  Organises information (Ames, M., and Naaman, M. (2007). Why We Tag )
Examples of Tagging Tumbler Blogging
Examples of Tagging Web-based service for collective tagging
Examples using  a photo sharing system allowing users to store and tag their personal photos, as well as maintain a network of contacts and tag others photos.
Examples using  a video sharing system allowing users to upload video content and describe it with tags.
Chinese Tagging Examples
Summary Advantage of Tagging Disadvantage of Tagging Improve the efficiency of information organization but decrease the cost. Enrich the description of information Personalize information organization Identify People People are lazy People are hypocritical  People may make some small but fatal mistakes (Montero, Y. & Solana, V. (2006).
Analysis Metadata enables the management of diversified contents on the web.  One form of this is tagging.  Google uses an algorithm to bring up the relevant information, “Google is able to extract useful information from the third key source of user-generated metadata in the present environment” (Bruns, 2008, p.174) Metadata
Analysis Tagging has become very popular because its systems have the potential to improve search, spam detection, reputation systems, and personal organization. All doing this while introducing new modalities of social communication and opportunities for data mining.” (Marlow, 2006).   Tag has brought convenience to people.  Tag clouds and folksonomies automatically help create communities as users with similar interests gravitate toward similar, searchable word tags.  Tagged content increases the amount of usable retrievals by providing more than one place you can look for information on the same topic (Doug Johnson, 2007).  Metadata using tagging
Questions Is it necessary to educate people how to tag in an appropriate way. If it is, how? Can we get reliable information with considering that ideas come from various people? If tagging is considered to be a way to manage knowledge, what role does the user take on? A describer or organizer? If this is the popular trend or emerging way of classifying knowledge (if not the future), should there be a guideline for effective tagging?

Contenu connexe

Tendances

Access 2005 Tagging
Access 2005 TaggingAccess 2005 Tagging
Access 2005 TaggingDaniele
 
Enterprise Navigation (KM World 2007)
Enterprise Navigation (KM World 2007)Enterprise Navigation (KM World 2007)
Enterprise Navigation (KM World 2007)Bradley Allen
 
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF WEB 2.0 TOOLS IN DESIGNING...
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF  WEB 2.0 TOOLS IN DESIGNING...COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF  WEB 2.0 TOOLS IN DESIGNING...
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF WEB 2.0 TOOLS IN DESIGNING...Netaji Subhas Open University
 
Archives 2.0, the Archives Hub and AIM25
Archives 2.0, the Archives Hub and AIM25Archives 2.0, the Archives Hub and AIM25
Archives 2.0, the Archives Hub and AIM25Jane Stevenson
 
Making Meaning with Metadata
Making Meaning with MetadataMaking Meaning with Metadata
Making Meaning with MetadataJohn Horodyski
 
Scraping and Clustering Techniques for the Characterization of Linkedin Profiles
Scraping and Clustering Techniques for the Characterization of Linkedin ProfilesScraping and Clustering Techniques for the Characterization of Linkedin Profiles
Scraping and Clustering Techniques for the Characterization of Linkedin Profilescsandit
 
Tagging For Community of Practice
Tagging For Community of PracticeTagging For Community of Practice
Tagging For Community of PracticePeter Rawsthorne
 
Social Semantic Collaborative Filtering
Social Semantic Collaborative FilteringSocial Semantic Collaborative Filtering
Social Semantic Collaborative FilteringSebastian Ryszard Kruk
 
Privacy in the Digital Age, Helen Cullyer
Privacy in the Digital Age, Helen CullyerPrivacy in the Digital Age, Helen Cullyer
Privacy in the Digital Age, Helen CullyerCharleston Conference
 
What Your Tweets Tell Us About You, Speaker Notes
What Your Tweets Tell Us About You, Speaker NotesWhat Your Tweets Tell Us About You, Speaker Notes
What Your Tweets Tell Us About You, Speaker NotesKrisKasianovitz
 
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...ijscai
 
Metadata & controlled vocabulary
Metadata & controlled vocabularyMetadata & controlled vocabulary
Metadata & controlled vocabularyDaryl Superio
 
Semantic Search using RDF Metadata (SemTech 2005)
Semantic Search using RDF Metadata (SemTech 2005)Semantic Search using RDF Metadata (SemTech 2005)
Semantic Search using RDF Metadata (SemTech 2005)Bradley Allen
 
Text analytics in social media
Text analytics in social mediaText analytics in social media
Text analytics in social mediaJeremiah Fadugba
 
Synaptica_KM_Award_Paper
Synaptica_KM_Award_PaperSynaptica_KM_Award_Paper
Synaptica_KM_Award_PaperDavid Clarke
 
A Review: Text Classification on Social Media Data
A Review: Text Classification on Social Media DataA Review: Text Classification on Social Media Data
A Review: Text Classification on Social Media DataIOSR Journals
 

Tendances (17)

Access 2005 Tagging
Access 2005 TaggingAccess 2005 Tagging
Access 2005 Tagging
 
Enterprise Navigation (KM World 2007)
Enterprise Navigation (KM World 2007)Enterprise Navigation (KM World 2007)
Enterprise Navigation (KM World 2007)
 
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF WEB 2.0 TOOLS IN DESIGNING...
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF  WEB 2.0 TOOLS IN DESIGNING...COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF  WEB 2.0 TOOLS IN DESIGNING...
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF WEB 2.0 TOOLS IN DESIGNING...
 
Archives 2.0, the Archives Hub and AIM25
Archives 2.0, the Archives Hub and AIM25Archives 2.0, the Archives Hub and AIM25
Archives 2.0, the Archives Hub and AIM25
 
Making Meaning with Metadata
Making Meaning with MetadataMaking Meaning with Metadata
Making Meaning with Metadata
 
Scraping and Clustering Techniques for the Characterization of Linkedin Profiles
Scraping and Clustering Techniques for the Characterization of Linkedin ProfilesScraping and Clustering Techniques for the Characterization of Linkedin Profiles
Scraping and Clustering Techniques for the Characterization of Linkedin Profiles
 
Tagging For Community of Practice
Tagging For Community of PracticeTagging For Community of Practice
Tagging For Community of Practice
 
Presentations
Presentations Presentations
Presentations
 
Social Semantic Collaborative Filtering
Social Semantic Collaborative FilteringSocial Semantic Collaborative Filtering
Social Semantic Collaborative Filtering
 
Privacy in the Digital Age, Helen Cullyer
Privacy in the Digital Age, Helen CullyerPrivacy in the Digital Age, Helen Cullyer
Privacy in the Digital Age, Helen Cullyer
 
What Your Tweets Tell Us About You, Speaker Notes
What Your Tweets Tell Us About You, Speaker NotesWhat Your Tweets Tell Us About You, Speaker Notes
What Your Tweets Tell Us About You, Speaker Notes
 
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...
 
Metadata & controlled vocabulary
Metadata & controlled vocabularyMetadata & controlled vocabulary
Metadata & controlled vocabulary
 
Semantic Search using RDF Metadata (SemTech 2005)
Semantic Search using RDF Metadata (SemTech 2005)Semantic Search using RDF Metadata (SemTech 2005)
Semantic Search using RDF Metadata (SemTech 2005)
 
Text analytics in social media
Text analytics in social mediaText analytics in social media
Text analytics in social media
 
Synaptica_KM_Award_Paper
Synaptica_KM_Award_PaperSynaptica_KM_Award_Paper
Synaptica_KM_Award_Paper
 
A Review: Text Classification on Social Media Data
A Review: Text Classification on Social Media DataA Review: Text Classification on Social Media Data
A Review: Text Classification on Social Media Data
 

En vedette

Cawley presentation
Cawley presentationCawley presentation
Cawley presentationwhcawley
 
Mdia5003 assignment4 metadata
Mdia5003 assignment4 metadataMdia5003 assignment4 metadata
Mdia5003 assignment4 metadatavivianhgray
 
Cawley presentation
Cawley presentationCawley presentation
Cawley presentationwhcawley
 
Ppt Reminders
Ppt RemindersPpt Reminders
Ppt Reminderswhcawley
 
Geol3 presentation2 ( continued)
Geol3 presentation2 ( continued)Geol3 presentation2 ( continued)
Geol3 presentation2 ( continued)davidpilcher
 

En vedette (9)

Cawley presentation
Cawley presentationCawley presentation
Cawley presentation
 
Mdia5003 assignment4 metadata
Mdia5003 assignment4 metadataMdia5003 assignment4 metadata
Mdia5003 assignment4 metadata
 
Cawley presentation
Cawley presentationCawley presentation
Cawley presentation
 
Geol3 part 1
Geol3 part 1Geol3 part 1
Geol3 part 1
 
Ppt Reminders
Ppt RemindersPpt Reminders
Ppt Reminders
 
Alisons Journey
Alisons JourneyAlisons Journey
Alisons Journey
 
Geol3 presentation2 ( continued)
Geol3 presentation2 ( continued)Geol3 presentation2 ( continued)
Geol3 presentation2 ( continued)
 
Geol3 part 1
Geol3 part 1Geol3 part 1
Geol3 part 1
 
Cocina-consciente
Cocina-conscienteCocina-consciente
Cocina-consciente
 

Similaire à Mdia5003 assignment4 metadata

HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Pr...
HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Pr...HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Pr...
HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Pr...cameron
 
Social taggingpresentation
Social taggingpresentationSocial taggingpresentation
Social taggingpresentationmolleem
 
Folksonomy and Tagging in the Social Web
Folksonomy and Tagging in the Social WebFolksonomy and Tagging in the Social Web
Folksonomy and Tagging in the Social Webhchen1
 
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...ijscai
 
Implementation of Folksonomy Based Tag Cloud Model for Information Retrieval ...
Implementation of Folksonomy Based Tag Cloud Model for Information Retrieval ...Implementation of Folksonomy Based Tag Cloud Model for Information Retrieval ...
Implementation of Folksonomy Based Tag Cloud Model for Information Retrieval ...IJSCAI Journal
 
Tags, Networks, Narrative
Tags, Networks, NarrativeTags, Networks, Narrative
Tags, Networks, NarrativeBruce Mason
 
Metadata and Analytics
Metadata and AnalyticsMetadata and Analytics
Metadata and Analyticsbrunomase
 
What Does Web 2.0 Mean for Enterprise Search
What Does Web 2.0 Mean for Enterprise SearchWhat Does Web 2.0 Mean for Enterprise Search
What Does Web 2.0 Mean for Enterprise SearchMichael Sampson
 
Taxonomies And Search Aiim Mn
Taxonomies And Search Aiim MnTaxonomies And Search Aiim Mn
Taxonomies And Search Aiim MnAIIM Minnesota
 
Tags: They're Not Just for Prices Anymore
Tags:  They're Not Just for Prices AnymoreTags:  They're Not Just for Prices Anymore
Tags: They're Not Just for Prices AnymoreGary Atwood
 
FACILITATING VIDEO SOCIAL MEDIA SEARCH USING SOCIAL-DRIVEN TAGS COMPUTING
FACILITATING VIDEO SOCIAL MEDIA SEARCH USING SOCIAL-DRIVEN TAGS COMPUTINGFACILITATING VIDEO SOCIAL MEDIA SEARCH USING SOCIAL-DRIVEN TAGS COMPUTING
FACILITATING VIDEO SOCIAL MEDIA SEARCH USING SOCIAL-DRIVEN TAGS COMPUTINGcsandit
 
Folksonomies - Matt Moore, ANZSI 2011
Folksonomies - Matt Moore, ANZSI 2011Folksonomies - Matt Moore, ANZSI 2011
Folksonomies - Matt Moore, ANZSI 2011Matt Moore
 
Decision Support for E-Governance: A Text Mining Approach
Decision Support for E-Governance: A Text Mining ApproachDecision Support for E-Governance: A Text Mining Approach
Decision Support for E-Governance: A Text Mining ApproachIJMIT JOURNAL
 

Similaire à Mdia5003 assignment4 metadata (20)

HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Pr...
HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Pr...HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Pr...
HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Pr...
 
Improving Tag Clouds
Improving Tag CloudsImproving Tag Clouds
Improving Tag Clouds
 
Googlization
GooglizationGooglization
Googlization
 
Social taggingpresentation
Social taggingpresentationSocial taggingpresentation
Social taggingpresentation
 
Social search
Social searchSocial search
Social search
 
Folksonomy and Tagging in the Social Web
Folksonomy and Tagging in the Social WebFolksonomy and Tagging in the Social Web
Folksonomy and Tagging in the Social Web
 
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...
IMPLEMENTATION OF FOLKSONOMY BASED TAG CLOUD MODEL FOR INFORMATION RETRIEVAL ...
 
Implementation of Folksonomy Based Tag Cloud Model for Information Retrieval ...
Implementation of Folksonomy Based Tag Cloud Model for Information Retrieval ...Implementation of Folksonomy Based Tag Cloud Model for Information Retrieval ...
Implementation of Folksonomy Based Tag Cloud Model for Information Retrieval ...
 
Tags, Networks, Narrative
Tags, Networks, NarrativeTags, Networks, Narrative
Tags, Networks, Narrative
 
Metadata and Analytics
Metadata and AnalyticsMetadata and Analytics
Metadata and Analytics
 
Folksonomy
FolksonomyFolksonomy
Folksonomy
 
What Does Web 2.0 Mean for Enterprise Search
What Does Web 2.0 Mean for Enterprise SearchWhat Does Web 2.0 Mean for Enterprise Search
What Does Web 2.0 Mean for Enterprise Search
 
Taxonomies And Search Aiim Mn
Taxonomies And Search Aiim MnTaxonomies And Search Aiim Mn
Taxonomies And Search Aiim Mn
 
Tags: They're Not Just for Prices Anymore
Tags:  They're Not Just for Prices AnymoreTags:  They're Not Just for Prices Anymore
Tags: They're Not Just for Prices Anymore
 
FACILITATING VIDEO SOCIAL MEDIA SEARCH USING SOCIAL-DRIVEN TAGS COMPUTING
FACILITATING VIDEO SOCIAL MEDIA SEARCH USING SOCIAL-DRIVEN TAGS COMPUTINGFACILITATING VIDEO SOCIAL MEDIA SEARCH USING SOCIAL-DRIVEN TAGS COMPUTING
FACILITATING VIDEO SOCIAL MEDIA SEARCH USING SOCIAL-DRIVEN TAGS COMPUTING
 
Folksonomies - Matt Moore, ANZSI 2011
Folksonomies - Matt Moore, ANZSI 2011Folksonomies - Matt Moore, ANZSI 2011
Folksonomies - Matt Moore, ANZSI 2011
 
Seeing and talking about Big Data, Farida Vis, AHRC Subject Assocations
Seeing and talking about Big Data, Farida Vis, AHRC Subject AssocationsSeeing and talking about Big Data, Farida Vis, AHRC Subject Assocations
Seeing and talking about Big Data, Farida Vis, AHRC Subject Assocations
 
O017148084
O017148084O017148084
O017148084
 
Social Data Mining
Social Data MiningSocial Data Mining
Social Data Mining
 
Decision Support for E-Governance: A Text Mining Approach
Decision Support for E-Governance: A Text Mining ApproachDecision Support for E-Governance: A Text Mining Approach
Decision Support for E-Governance: A Text Mining Approach
 

Dernier

Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docxPoojaSen20
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
PSYCHIATRIC History collection FORMAT.pptx
PSYCHIATRIC   History collection FORMAT.pptxPSYCHIATRIC   History collection FORMAT.pptx
PSYCHIATRIC History collection FORMAT.pptxPoojaSen20
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 

Dernier (20)

Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docx
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
PSYCHIATRIC History collection FORMAT.pptx
PSYCHIATRIC   History collection FORMAT.pptxPSYCHIATRIC   History collection FORMAT.pptx
PSYCHIATRIC History collection FORMAT.pptx
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 

Mdia5003 assignment4 metadata

  • 1. Metadata & Tagging MDIA5003 – Assignment 4 By Marylove, Sky & Vivian
  • 2. Table of Contents Summary Analysis Question Time
  • 3. Summary “Information about information - labeling, cataloging and descriptive information structured in such a way that allows Web pages to be properly searched and processed in particular by computer “ (Metadata, 2002) There are three identified core practices in metadata generation (Brun, 2008, p. 172) These are; Tagging Linking browsing What is Metadata
  • 4. Summary A tag is a keyword or term associated with or assigned to a piece of information For example: a picture Article Video clip A tag describes the item and enabling keyword-based classification of information and is usually chosen informally and personally by item author/creator or by its consumer/viewers/community (Red Alkemi, 2011) What is Tagging
  • 5. A term used together with folksonomy folksonomy - a "bottom-up" organizational category that "emerge[s] when individuals tag or describe information and images and those tags are pooled". Alternative for Taxonomy What is Folksonomy?
  • 6. Summary Types of Tags Identify what or whom it is about? Identify what it is Identify who owns it Refining Categories Identifying Qualities or Characteristics Self Reference Organises information (Ames, M., and Naaman, M. (2007). Why We Tag )
  • 7. Examples of Tagging Tumbler Blogging
  • 8. Examples of Tagging Web-based service for collective tagging
  • 9. Examples using a photo sharing system allowing users to store and tag their personal photos, as well as maintain a network of contacts and tag others photos.
  • 10. Examples using a video sharing system allowing users to upload video content and describe it with tags.
  • 12. Summary Advantage of Tagging Disadvantage of Tagging Improve the efficiency of information organization but decrease the cost. Enrich the description of information Personalize information organization Identify People People are lazy People are hypocritical People may make some small but fatal mistakes (Montero, Y. & Solana, V. (2006).
  • 13. Analysis Metadata enables the management of diversified contents on the web. One form of this is tagging. Google uses an algorithm to bring up the relevant information, “Google is able to extract useful information from the third key source of user-generated metadata in the present environment” (Bruns, 2008, p.174) Metadata
  • 14. Analysis Tagging has become very popular because its systems have the potential to improve search, spam detection, reputation systems, and personal organization. All doing this while introducing new modalities of social communication and opportunities for data mining.” (Marlow, 2006).   Tag has brought convenience to people. Tag clouds and folksonomies automatically help create communities as users with similar interests gravitate toward similar, searchable word tags. Tagged content increases the amount of usable retrievals by providing more than one place you can look for information on the same topic (Doug Johnson, 2007).  Metadata using tagging
  • 15. Questions Is it necessary to educate people how to tag in an appropriate way. If it is, how? Can we get reliable information with considering that ideas come from various people? If tagging is considered to be a way to manage knowledge, what role does the user take on? A describer or organizer? If this is the popular trend or emerging way of classifying knowledge (if not the future), should there be a guideline for effective tagging?