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TAPoR Redesign Project
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The TAPoR Portal is being redesigned from the ground up. These wiki pages are dedicated to this redesign project.
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Announcing TAPoR 2.0.
TAPoR 2.0 will, as of June 1st 2012, officially available for use at http://tapor.ca
The TAPoR Portal has being redesigned from the ground up. These wiki pages are dedicated to the redesign project.
The old portal will continue to be available at http://portal.tapor.ca
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Ideas for the Portal Redesign
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The TAPoR team is redesigning the portal. Part of the redesign is about removing features people were not using. What do you use the portal for? How do you use it? Email Kirsten Uszkalo (circe at ufies dot org) or Geoffrey Rockwell (grockwel at ualberta dot ca) to tell us what you are interested in for the portal.
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The TAPoR team has redesigned the portal to focus it on the discovery of text analysis tools. Part of the redesign is about removing features people were not using. What do you use the portal for? How do you use it? Email Kirsten Uszkalo (circe at ufies dot org) or Geoffrey Rockwell (grockwel at ualberta dot ca) to tell us what you are interested in for the portal.
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How to get involved
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We are looking for reviewers to review and comment on tools. If you are interested, please send us a note.
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- Send an email to Kirsten Uszkalo (circe at ufies dot org) describing how you would like to be involved
- Send an email to Kamal Ranaweera (kamal dot ranaweera at ualberta dot ca) and ask to be added to the email discussion group.
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- Review Guidelines - This is an outline of the reviews we are commissioning for tools. These will go into comments that are fixed.
- Tool Testing Guidelines - This is a set of guidelines for methodical testing of the TAPoR set of tools.
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- Portal Comparison - This is a comparison of the TAPoR tools found at the McMaster and the University of Alberta portals, to assist tool usage interviews. Also included is a list of the tools found at the University of Alberta portal's wiki.
- Terms Listing - This is list of specialized terminology found in both the TAPoR and Voyant toolsets. It will eventually be migrated over to Hermineuti.ca as a help resource for users of those toolsets.
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Tool Testing and Reviewing
An important part of improving the experience of researchers is making sure the tools are easy to use appropriately. We have developed guidelines for testing tools and reviewing them. The reviews then go into TAPoR 2.0.
- Tool Testing Guidelines - This is a set of guidelines for methodical testing of the TAPoR set of tools.
- Review Guidelines - This is an outline of the reviews we are commissioning for tools. These will go into comments that are fixed.
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People Involved
- Project Leads: Geoffrey Rockwell, Kirsten Uszkalo, and Stéfan Sinclair
- TAPoR Advisory Board is a board advising in the redesign.
- TAPoR Volunteers are people who are helping us with the redesign.
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- Just What Do They Do? is a SSHRC funded project to look at what text analysis users do. It includes subprojects to model new ways to help users discover tools. Co-investigators include Geoffrey Rockwell, Lisa Given, Eleni Stroulia, and Stéfan Sinclair. Joseph Dung is a Humanities Computing Research Assistant working on this project.
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- Just What Do They Do? is a SSHRC funded project to look at what text analysis users do. It includes subprojects to model new ways to help users discover tools. Co-investigators include Geoffrey Rockwell, Lisa Given, Eleni Stroulia, and Stéfan Sinclair. Amy Dyrbye, Lisa Goddard, Ali Grotkowski, and Joseph Dung have been Humanities Computing Research Assistants working on this project.
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Meeting Notes
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TAPoR Redesign Project
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- Project Leads: Geoffrey Rockwell, Kirsten Uszkalo, and Stéfan Sinclair
- TAPoR Advisory Board is a board advising in the redesign.
- TAPoR Volunteers are people who are helping us with the redesign.
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- Just What Do They Do? is a SSHRC funded project to look at what text analysis users do. It includes subprojects to model new ways to help users discover tools. Co-investigators include Geoffrey Rockwell, Lisa Given, Eleni Stroulia, and Stéfan Sinclair. Joseph Dung is a Humanities Computing Research Assistant working on this project.
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- Just What Do They Do? is a SSHRC funded project to look at what text analysis users do. It includes subprojects to model new ways to help users discover tools. Co-investigators include Geoffrey Rockwell, Lisa Given, Eleni Stroulia, and Stéfan Sinclair. Joseph Dung is a Humanities Computing Research Assistant working on this project.
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Meeting Notes
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TAPoR Redesign Project
The TAPoR Portal is being moved from McMaster to the University of Alberta. As part of the move we are fixing various bugs and speeding up the portal. The next step is to redesign the portal based on input from users. These wiki pages are dedicated to this redesign project.
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Portal Move
Note: The TAPoR Portal is moving Monday November 22nd at 9:00am Mountain time. For more infomations see TAPoR Portal Move.
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How to get involved
- Send an email to Kirsten Uszkalo (circe at ufies dot org) describing how you would like to be involved
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- TAPoR Volunteers are people who are helping us with the redesign.
- Just What Do They Do? is a SSHRC funded project to look at what text analysis users do. It includes subprojects to model new ways to help users discover tools. Co-investigators include Geoffrey Rockwell, Lisa Given, Eleni Stroulia, and Stéfan Sinclair. Joseph Dung is a Humanities Computing Research Assistant working on this project.
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-- GeoffreyRockwell - 08 Oct 2010
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TAPoR Redesign Project
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This section links to documents with ideas about the new interface.
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//* The quality of the current scans vary and I hope to revisit them later. Please note that this is still a work in progress*//
Knowledge engine:
Started by Stephen Wolfram as a “computational knowledge engine”, it has also been regarded as a possible competitor to Google. It uses ontologies and human
curated data to return an answer with graphs and other representations.
* The Knowledge Engine's Results Page:
Its ontology system also affects the way results are displayed in category boxes.
* Duckduckgo:
Another engine that attempts categorizing according to subject area is Duckduckgo. Its results are a mashup from many search engine sources and
Wikipedia. It is also well known for its zero-info click.
* Amazon:
Amazon also tries to categorize items on its page. The interesting thing about this page is that after searching for an item on Amazon days earlier,
Amazon was still able to “remember me” and still list those items on its page when I merely visit the page (without searching). It also suggests what
others have been looking for.
* Google Books:
Google also categorizes its books according to subject area and other criteria, including Trending Topics. It lists book items in rows of icon tiles.
* LinguistList?:
Linguistlist hosts an array of projects, publications, conferences their famous Jobs page. Notice that featured projects get displayed in a bold banner at
the top center of the screen to get people’s attention. The links below the Technology heading repeat the contents of the banner for emphasis. Links lead
to research projects and tools developed by partners.
* Linguistlist1:
Its famous Jobs page is also a source of information for students and researchers about the kinds of tools industry and academia are using.
* Linguistlist2:
Linguistlist uses both Google and its own search program for its database.
* Natural Language Toolkit:
The NLTK site is a great resource for Python related Natural Language Processing Tools and Projects.
* NLTK Project Ideas:
The NLTK ideas page tracks the development of various projects.
* Open Source NLP:
The Open NLP site is a simple page that has links and a description to various NLP tool sites.
* Reddit's voting system:
The simplicity of Reddit has made it overtake Digg in some circles. Users get to vote on news items in a transparent way. This is one way users gauge what
is popular on and off the web. Notice the “Up” and “Down” arrows. Evidently, Reddit triggers far more comments and heated discussions than Digg.
* Digg's voting system:
Aggregating sites like Digg are indeed more colorful but there is only one “Up” arrow and now “Down” arrow, so people can only vote to show they are
interested and abstain to show they are not.
* Youtube:
Youtube is a social site where people share videos which gets organized according to Category Filters that fine-tunes what one is searching for.
* Youtube's voting system:
The “like” icon on Youtube as in everywhere, is a kind of vote. It is still open to research if users prefer the like icon (with hands and fingers down or
up) or if up and down arrows still do the trick.
* Flickr:
Flickr collects photo image items and organizes them in rows of tiles. A Flickr tag also functions as a filter when clicked on. In this sense the tag
“Family” is also a category.
* Flickr2:
A Flickr word cloud.
* Flickr3:
It also has an interesting archive feature. An image on a date represents a collection of images snapped on that date.
* Alternative pic navigation:
Microsoft’s Photosynth pushes the boundary in its photo navigation system by stitching together a collection of images in a seamless way. It provides an
alternative way to navigate a list of items like images. But what about text or hypertext links? A badge could aggregate URLs from multiple blogs and
compare and contrast word contents remotely, in a single statistical display.
* Interesting Badge that shows tools, links and tweets based on the subject of a blog:
Postup makes badges for blogs and in this particular case depending on the subject matter of that blog, it simulates a scrolling feed of icons and texts in
that box.
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Tool and Badge Bazaar
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TAPoR Redesign Project
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Design Ideas
This section links to documents with ideas about the new interface.
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* collections.pptx: This link is an environment scan of interface and site organizational ideas
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//* The quality of the current scans vary and I hope to revisit them later. Please note that this is still a work in progress*//
* Knowledge engine:
Started by Stephen Wolfram as a “computational knowledge engine”, it has also been regarded as a possible competitor to Google. It uses ontologies and human
curated data to return an answer with graphs and other representations.
* The Knowledge Engine's Results Page:
Its ontology system also affects the way results are displayed in category boxes.
* Duckduckgo:
Another engine that attempts categorizing according to subject area is Duckduckgo. Its results are a mashup from many search engine sources and
Wikipedia. It is also well known for its zero-info click.
* Amazon:
Amazon also tries to categorize items on its page. The interesting thing about this page is that after searching for an item on Amazon days earlier,
Amazon was still able to “remember me” and still list those items on its page when I merely visit the page (without searching). It also suggests what
others have been looking for.
* Google Books:
Google also categorizes its books according to subject area and other criteria, including Trending Topics. It lists book items in rows of icon tiles.
* LinguistList?:
Linguistlist hosts an array of projects, publications, conferences their famous Jobs page. Notice that featured projects get displayed in a bold banner at
the top center of the screen to get people’s attention. The links below the Technology heading repeat the contents of the banner for emphasis. Links lead
to research projects and tools developed by partners.
* Linguistlist1:
Its famous Jobs page is also a source of information for students and researchers about the kinds of tools industry and academia are using.
* Linguistlist2:
Linguistlist uses both Google and its own search program for its database.
* Natural Language Toolkit:
The NLTK site is a great resource for Python related Natural Language Processing Tools and Projects.
* NLTK Project Ideas:
The NLTK ideas page tracks the development of various projects.
* Open Source NLP:
The Open NLP site is a simple page that has links and a description to various NLP tool sites.
* Reddit's voting system:
The simplicity of Reddit has made it overtake Digg in some circles. Users get to vote on news items in a transparent way. This is one way users gauge what
is popular on and off the web. Notice the “Up” and “Down” arrows. Evidently, Reddit triggers far more comments and heated discussions than Digg.
* Digg's voting system:
Aggregating sites like Digg are indeed more colorful but there is only one “Up” arrow and now “Down” arrow, so people can only vote to show they are
interested and abstain to show they are not.
* Youtube:
Youtube is a social site where people share videos which gets organized according to Category Filters that fine-tunes what one is searching for.
* Youtube's voting system:
The “like” icon on Youtube as in everywhere, is a kind of vote. It is still open to research if users prefer the like icon (with hands and fingers down or
up) or if up and down arrows still do the trick.
* Flickr:
Flickr collects photo image items and organizes them in rows of tiles. A Flickr tag also functions as a filter when clicked on. In this sense the tag
“Family” is also a category.
* Flickr2:
A Flickr word cloud.
* Flickr3:
It also has an interesting archive feature. An image on a date represents a collection of images snapped on that date.
* Alternative pic navigation:
Microsoft’s Photosynth pushes the boundary in its photo navigation system by stitching together a collection of images in a seamless way. It provides an
alternative way to navigate a list of items like images. But what about text or hypertext links? A badge could aggregate URLs from multiple blogs and
compare and contrast word contents remotely, in a single statistical display.
* Interesting Badge that shows tools, links and tweets based on the subject of a blog:
Postup makes badges for blogs and in this particular case depending on the subject matter of that blog, it simulates a scrolling feed of icons and texts in
that box.
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Tool and Badge Bazaar
The Tool and Badge Bazaar is our phrase for the database of tools that we imagine for TAPoR. TAPoR currently only allows the registration of tools that will work through the portal.
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-- GeoffreyRockwell - 08 Oct 2010
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