FactMiners.org - OpenCulture
http://www.factminers.org/tags/openculture
enA FactMiners' Fact Cloud for the British Library Image Collection
http://www.factminers.org/content/factminers-fact-cloud-british-library-image-collection
<div class="field field-name-field-image field-type-image field-label-hidden view-mode-rss view-mode-rss"><div class="field-items"><figure class="clearfix field-item even" rel="og:image rdfs:seeAlso" resource="http://www.factminers.org/sites/default/files/styles/large/public/images/BritishLibrary_Flickr_images.png?itok=SoxfQp9_"><a href="http://www.factminers.org/sites/default/files/images/BritishLibrary_Flickr_images.png"><img typeof="foaf:Image" class="image-style-large" src="http://www.factminers.org/sites/default/files/styles/large/public/images/BritishLibrary_Flickr_images.png?itok=SoxfQp9_" width="292" height="233" alt="" /></a></figure></div></div><div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-hidden view-mode-rss view-mode-rss"><ul class="field-items"><li class="field-item even" rel="dc:subject"><a href="/tags/openculture" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">OpenCulture</a></li><li class="field-item odd" rel="dc:subject"><a href="/tags/ai-etc" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">AI etc.</a></li><li class="field-item even" rel="dc:subject"><a href="/tags/game-ideas" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Game Ideas</a></li></ul></div><div class="field field-name-body field-type-text-with-summary field-label-hidden view-mode-rss view-mode-rss"><div class="field-items"><div class="field-item even" property="content:encoded"><p>I was thrilled to read the announcement this week in the <a href="http://britishlibrary.typepad.co.uk/digital-scholarship/index.html">British Library Digital Scholarship blog</a> about the <a href="http://www.flickr.com/photos/britishlibrary">Library's uploading to the Flickr Commons of over 1 million Public Domain images</a> scanned from 17th, 18th, and 19th century books in the Library's physical collections. The Flickr image collection makes the individual images easily available for public use. Currently the meta-data about each image includes the most basic source information but nothing about the image itself. In the words of project tech lead Ben O'Steen:</p>
<blockquote><p>We may know which book, volume and page an image was drawn from, but we know nothing about a given image. Consider the image below. The title of the work may suggest the thematic subject matter of any illustrations in the book, but it doesn't suggest how colourful and arresting these images are.</p>
<div class="image-right"><a href="http://www.flickr.com/photos/britishlibrary/11075039705/"><img src="http://britishlibrary.typepad.co.uk/.a/6a00d8341c464853ef019b029b054d970b-800wi" /></a></div>
<p> <a href="http://www.flickr.com/photos/britishlibrary/tags/imagesfrombook001012871/">See more from this book</a>: "Historia de las Indias de Nueva-España y islas de Tierra Firme..." (1867)</p>
<p> We plan to launch a crowdsourcing application at the beginning of next year, to help describe what the images portray. Our intention is to use this data to train automated classifiers that will run against the whole of the content. The data from this will be as openly licensed as is sensible (given the nature of crowdsourcing) and the code, as always, will be under an open license.</p></blockquote>
<p>Ben went on to explain, "Which brings me to the point of this release. <strong>We are looking for new, inventive ways to navigate, find and display these 'unseen illustrations'</strong>."</p>
<p>Well, Ben's challenge got me thinking... <strong>What would be the value of creating a FactMiners' Fact Cloud Companion to the British Libary Public Domain Image Collection?</strong></p>
<p>And that's when I had my latest "Eureka Moment" about why the <a href="/content/factminers-more-or-less-folksonomy">FactMiners social-game ecosystem</a> is such a compelling idea (at least to me and a few others at this point :-) ). First, let me briefly describe what a Fact Cloud Companion would look like for the British Library Image Collection before exploring why this is such an exciting and potentially important idea.</p>
<h2>A FactMiners Fact Cloud for Images: What?</h2>
<p>When Ben laments that the Library's image collection does not know anything about the content of the individual images, I believe he 'undersold' that statement by alluding to the metadata not informing us how colorful or arresting this image is. But there is a much more significant truth underlying his statement.</p>
<p><strong>Images are incredible "compressed storage" of all the "facts" (verbal assertions) that we instantly understand when we humans look at an image.</strong> The image Ben referenced above of the man in a ceremonial South American tribal regalia is chuck full of "facts" like:</p>
<ul><li>The man is wearing a mask.</li>
<li>The man is wearing a blue tunic.</li>
<li>The man is holding a long, pointed, wavy stick.</li>
<li>The man has a feathered shield in his left hand.</li>
<li>The man is standing on a fringed rug.</li>
<li>The man has a beaded bracelet on his right arm.</li>
</ul><p>I've written briefly about <a href="/about_graphs_and_factmining">how an Open Source graph database, like Neo4j, is an ideal technology for capturing FactMiners' Fact Clouds</a>. So I won't belabor the point by drilling down here on these example 'image facts' to the level of graph data insertions or related queries. Suffice to say that the means are readily available to design and capture a reasonable and useful graph database of facts/assertions about what is "seen" in the "unseen illustrations" of the British Library image collection.</p>
<p>Rather, I want to move on quickly to the "A-ha Moment" I had about why creating a Fact Cloud Companion to the British Library Image Collection could be a Very Good Thing.</p>
<h2>A FactMiners Fact Cloud for Images: Why?</h2>
<p>Every time we look at an image, our brains decompress that in an "explosion of facts." By bringing image collections into the FactMiners' "serious play arena" we are, in effect, capturing that "human image decompression" process as a sharable artifact rather than it being a transient individual cognitive event. In other words, <strong>every child goes through the learning process of "seeing" what's in a picture</strong>. When these "little learning machines" do a proportion of that natural childhood learning activity by playing FactMiners at the British Library Image Collection, we get a truly interesting 'by-product' in the Fact Cloud Companion.</p>
<div class="image-left"><img src="/sites/default/files/images/danger_will_robinson.jpg" width="286" height="362" alt="danger_will_robinson.jpg" /></div>
<p>Beyond the obvious use of a Fact Cloud for folksonomy-class applications supporting source collection public and researcher access, <strong>a FactMiners Fact Cloud Companion of the British Library Public Domain Image Collection would be an invaluable resource</strong> for that <em>new emerging museum and archive visitor base...</em> <strong>robots.</strong> Well, not so much the fully anthropomorphized walking/talking robots, at least not so much just yet. I'm thinking here more like <strong>machine-learning programs</strong>, specifically those with any form of 'image vision' capability – whether by crude file/data 'input' or real-time vision sensors.</p>
<p>Upon entering the British Library Image Collection, our robot/machine-learning-program visitors would find a rich 'playground' in which to hone their vision capabilities. All those Fact Cloud 'facts' about what is 'seen' in the collection's previously 'unseen images' would be available at machine-thinking/learning speed to answer the litany of questions – "What's that?", "Is that a snake?", "Is that boy under the table?" – questions that a machine-learning program might use to refine its vision capabilities.</p>
<p>So while the primary intent of the project is making these images available for Open Culture sharing and use, there may be some equally valuable side effects of this project. <strong>The British Library Image Collection and its Fact Cloud Companion could become a "go-to" stop for any vision-capable robot or machine-learning program that aspires to better understand the world it sees.</strong></p>
<h2>A FactMiners Fact Cloud for Images: How?</h2>
<p>As the good folks at the British Library well know, just getting a good folksonomy social-tagging resource developed for such a huge collection is itself no small task. This is why museums and archives, like the British Library and those collaborating in <a href="http://www.steve.museum/">the steve project</a>, are turning to crowdsourcing methods to get the 'heavy-lifting' of these tasks done. <strong>Crowdsourcing goes hand-in-hand with gamification</strong> in this regard. If we can't pay you to help us out, at least we can make the work fun, right?</p>
<div class="image-right"><img src="/sites/default/files/images/FactMiners_kid_playing_app.png" width="460" height="316" alt="FactMiners_kid_playing_app.png" /></div>
<p>Well, you don't have to think too hard to realize that if creating a folksonomy is a big chore, then creating a useful Fact Cloud representing at least a good chunk of the 'seen' in the previously 'unseen illustrations' of the British Library Image Collection is a Way Too Big Chore. And this might be true. But I think that there is some uniquely wonderful 'harness-able labor' to be tapped in this regard. </p>
<p>I know we can make <strong>a really fun app where parents and older folks can help kids learn by playing; building fact-by-fact a valuable resource at the British Library, for one</strong>. A learning child is a torrent of cognitive processing. Let a stream of that raw learning energy run through the FactMiners game at the British Library Image Collection and you'd have critical mass in a Fact Cloud faster than you can say, "Danger, Will Robinson!"</p>
<p>And where might this lead? Well, where this all might lead Big Picture wise is beyond the scope of this post. But I can see it leading to a new, previously unimagined game to add to the mix of social games available to FactMiners players... and it's a bit of a doozy. :-)</p>
<p>If the British Library creates a FactMiners Fact Cloud Companion to its Image Collection, and if that Fact Cloud becomes useful to robots (machine-learning programs) as a vision-learning resource, I can see where we would want to add a <strong>'Seeing Eye Child' Robot Adoption Agency Game</strong> to the FactMiners game plug-ins. What would that game be like?</p>
<div class="image-left"><img src="/sites/default/files/images/FactMiners_robot_training_kids.png" width="541" height="409" alt="FactMiners_robot_training_kids.png" /></div>
<p>Well, as good as an Image Collection Fact Cloud might be to learn from, and as smart as a machine-learning program might be as a learner, a robot's learning to see isn't likely to be a fully automated process. So we <strong>create a game where one or more kids 'adopt' a robot/machine-learning program to help it learn</strong>. In this case, the FactMiners player would gain experience points, badges, etc. by being available for 'vision training' sessions with the adopted robot. The FactMiners player is, in effect, the referee and coach to the robot as it learns to see. </p>
<p>It doesn't take much imagination to see how this could lead to schools fielding teams in <strong>contests to take a 'stock' robot/machine-learning-program and train it to enter various vision recognition challenges</strong>. And when I let my imagination run with these ideas, it gets very interesting real fast. But any run, even of one's imagination, starts with a first step.</p>
<p>Will we get a chance to make a Fact Cloud Companion to the British Library Image Collection? I don't know. This week the British Library took <a href="http://britishlibrary.typepad.co.uk/digital-scholarship/2013/12/a-million-first-steps.html">a million first steps</a> toward making their vast digital image collection available to all for free. Perhaps the first step of posting this article will lead us on a path where we will have some serious fun working with the Library to help kids who help robots learn to see and understand our world.</p>
<p><em>--Jim Salmons--<br />
Cedar Rapids, Iowa USA</em></p>
<blockquote><p><strong>Update:</strong> An encouraging reply of exploratory interest from the good folks at the British Library Labs has juiced my motivation to further <a href="/content/introducing-seeing-eye-child-robot-adoption-agency">explore the potential for the 'Seeing Eye Child' Robot Adoption Agency</a> as a FactMiners plug-in game.</p></blockquote>
</div></div></div>Sun, 15 Dec 2013 21:21:20 +0000Jim Salmons9 at http://www.factminers.orghttp://www.factminers.org/content/factminers-fact-cloud-british-library-image-collection#commentsFactMiners: More or Less Folksonomy?
http://www.factminers.org/content/factminers-more-or-less-folksonomy
<div class="field field-name-field-image field-type-image field-label-hidden view-mode-rss view-mode-rss"><div class="field-items"><figure class="clearfix field-item even" rel="og:image rdfs:seeAlso" resource="http://www.factminers.org/sites/default/files/styles/large/public/images/FactMiners_bigpicture.png?itok=_lVzTjE-"><a href="http://www.factminers.org/sites/default/files/images/FactMiners_bigpicture.png"><img typeof="foaf:Image" class="image-style-large" src="http://www.factminers.org/sites/default/files/styles/large/public/images/FactMiners_bigpicture.png?itok=_lVzTjE-" width="480" height="406" alt="" /></a></figure></div></div><div class="field field-name-field-tags field-type-taxonomy-term-reference field-label-hidden view-mode-rss view-mode-rss"><ul class="field-items"><li class="field-item even" rel="dc:subject"><a href="/tags/museum-informatics" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">Museum Informatics</a></li><li class="field-item odd" rel="dc:subject"><a href="/tags/openculture" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">OpenCulture</a></li></ul></div><div class="field field-name-body field-type-text-with-summary field-label-hidden view-mode-rss view-mode-rss"><div class="field-items"><div class="field-item even" property="content:encoded"><p>Our community mission is to develop the <em>"FactMiners ecosystem."</em> This ecosystem once realized will consist of:</p>
<ul><li><strong>FactMiners Players</strong> – young and old, thinker-players all, they connect to each other and Fact Cloud host museums and archives by way of the <em>multi-platform <strong>FactMiners</strong> social-game app</em>
</li>
<li><strong><a href="http://www.FactMiners.com">FactMiners.com</a></strong> – the web service providing gamification, player community, and repository workflow infrastructure
</li>
<li><strong><a href="http://www.FactMiners.org">FactMiners.org</a></strong> – (this site) the Open Source developer community (here) where we will create and evolve the FactMiners game app, server-based web services, and repository APIs, etc.
</li>
<li><strong>Fact Cloud repositories</strong> – the first being the Fact Cloud to be developed and hosted by <a href="http://www.SoftalkApple.com">The Softalk Apple Project</a>
</li>
</ul><p>Our goal is to create a <a href="http://en.wikipedia.org/wiki/Crowdsource">crowdsource</a>-powered <a href="http://en.wikipedia.org/wiki/Social_gaming">social gaming</a> community that "comes to play" in museum and archive on-line repositories with the intensity of the multitudes who play <em>Candy Crush</em> or <em>Words With Friends</em>. And by playing FactMiners, this rabid game-playing community will produce two results:</p>
<ul><li>Players will spend time exploratory-learning about whatever is the content of a host collection, and
</li>
<li>The host museum or archive will get a <strong>Fact Cloud data repository</strong> [1] that will become increasingly valuable as an educational and research resource.
</li>
</ul><p>In short, both the <strong>means</strong> – <em>FactMiner exploratory-learning game-playing</em> – and the <strong>ends</strong> – <em>the "by-product" generation of the host collection's Fact Cloud</em> – have value in their own right.</p>
<p>[1] See <em><a href="/about_graphs_and_factmining">A Wee Bit about Graph DBs and Fact Mining</a></em> </p>
<h2>Isn't FactMiners just Folksonomy (Social Tagging) in a Game Wrapper?</h2>
<blockquote><p>First, let me admit that IANAMIP – I Am Not A Museum Informatics Professional – so forgive me for what I don't know. My purpose with this article is to engage the interest of any reader who may be a member of the <strong><a href="http://en.wikipedia.org/wiki/Museum_informatics">museum informatics</a></strong> community, not to alienate you by presuming to speak with any authority or direct experience. I also want to introduce our informal <strong>'Friends of Softalk'</strong> community to what is admittedly an esoteric aspect of our project. Regardless of what motivates your reading, I welcome all feedback and comments. And on behalf of our project, we welcome the active interest of, and potential collaboration with, members of the museum informatics community.</p></blockquote>
<p>The closest thing to <strong>FactMiners</strong> that I know about within the museum informatics community – please note I have an admittedly limited knowledge in this regard and welcome feedback to broaden my perspective – is the brilliant work being done on <strong>folksonomy</strong> which Wikipedia summarizes as:</p>
<div class="image-left"><img src="/sites/default/files/images/Steve_folksonomy.png" width="206" height="293" alt="Steve_folksonomy.png" /></div>
<blockquote><p>"A folksonomy is a system of classification derived from the practice and method of collaboratively creating and managing tags to annotate and categorize content; this practice is also known as collaborative tagging, social classification, social indexing, and social tagging." (<a href="http://en.wikipedia.org/wiki/Folksonomy">http://en.wikipedia.org/wiki/Folksonomy</a>)</p></blockquote>
<p>The folksonomy/social-tagging community has produced impressive results through such collaborations as the <a href="http://www.steve.museum/">steve project</a> which now includes 21 institutions (museums and archives) whose over eight thousand community members have tagged nearly 100,000 objects with over half a million terms. Another great example is the <a href="http://www.youtube.com/watch?v=yx6dT7G8vTM">Virtual Museum of the Pacific</a>, a creative collaboration of the Australia Museum and Wollongong University researchers. </p>
<div class="image-right">
<iframe width="330" height="186" src="//www.youtube.com/embed/yx6dT7G8vTM" frameborder="0" allowfullscreen=""></iframe></div>
<p>This is truly impressive work. But <strong>I believe Fact-Mining, while related and complementary, is qualitatively different than social-tagging</strong>. This said, we certainly know that we will learn from the folksonomy folks' experience and welcome the opportunity to collaborate with those working in this domain.</p>
<h2>Beyond Folksonomy for Serial Magazines</h2>
<p>Many museum and archive collections are well served by folksonomy's focus on classification coupled with collecting community members' insights, stories, and fragile memories captured for posterity.</p>
<p>However, while relevant at one level of artifact description, <strong>property-based classification may be insufficient for the subset of collections that include such artifacts as serial magazines and newspapers</strong>. While the physical artifact can be richly described through attribute categorization, these physical item properties do not help us if we want to identify and explore the <em>information content</em> expressed in the text and graphics of a magazine or newspaper.</p>
<p>Serial magazines – especially those like <strong>Softalk</strong> with a very specific editorial focus – are a unique resource. Taken collectively throughout a publication's run, serial magazines produce a sequence of "time capsule snapshots" of what's going within the domain of the publication's editorial focus.</p>
<p>"<strong>Fact mining" (by FactMiners) is intended to be a fun and educational way to unlock the "facts" contained in these collections</strong> such as magazines and newspapers. (As an aside, don't take "fact" too literally. <em>Assertion</em> is a more accurate term as a "fact," in our sense, need only be verifiable as having been stated/asserted in the source document.)</p>
<p><strong>The goal of creating a "Fact Cloud" is to find, capture, and verify (that is, to "mine") the information content <ins>from its source document human-readable format</ins> into a <ins>machine-queriable data format</ins>.</strong></p>
<h2>Magazines as a Rich Data Source</h2>
<div class="image-right"><img src="/sites/default/files/images/Softalk_collage_4_factcloud_aboutpg.png" width="284" height="301" alt="Softalk_collage_4_factcloud_aboutpg.png" /></div>
<p>A magazine – while a fun and lively source of information and entertainment if all we want to do is read it – is actually a quite complex document when we take into account both its <em>content information model</em> and its <em>document structure</em>.</p>
<p>On the content modeling side of things, a magazine like Softalk is about <strong>People</strong>, <strong>Companies</strong>, <strong>Hardware</strong> (Products), <strong>Software</strong> (Products), <strong>User/Consumer Stories</strong>, <strong>Market Information</strong>, <strong>Product Reviews</strong>, <strong>Sales Performance</strong> (e.g. Softalk Bestseller Lists), etc. </p>
<p>These types of "Things" may be the subject of "facts" that either connect <strong>Thing-RELATED_TO->Thing</strong> or <strong>Thing->HAS_ATTRIBUTE->Property</strong>, etc. Such relatively simple <strong>Thing->RELATIONSHIP->Thing</strong> expressions can be conditionally combined into semantically rich data/information models. (This topic is beyond the scope of this article. For a bit more see this short piece <a href="/about_graphs_and_factmining">about graph databases and FactMiners</a>.)</p>
<p>A magazine has an additional layer of information structure; <strong>Feature Stories</strong>, <strong>Columns</strong>, <strong>Editorials</strong>, <strong>Advertisements</strong>, <strong>Polls</strong>, <strong>Reader Contests</strong>, <strong>Bestseller Lists</strong>, <strong>Letters to the Editor</strong>, etc. The magazine's structural nature complicates the scanning and OCR (optical character recognition) requirements when putting a magazine collection on-line. <strong>In order to "fact mine" a magazine, we have to capture and organize our facts respecting the magazine's document structure.</strong> It is important, for example, to know which fact assertions are derived from advertising copy as opposed to the same assertion coming from an article, featured column, or product review.</p>
<p><strong>When both the content information and magazine structural aspects are captured in the Fact Cloud of a serial magazine, we get a very interesting time-series dataset that can be used to "see" social and market dynamics which cannot be gleaned by simple piecemeal reading of preserved issues in these on-line collections.</strong></p>
<h2>The Fact Cloud as Education and Research Resource</h2>
<p>Once an army of FactMiners' game-players "consume" a museum or archive host's source repository and leave the by-product of the Fact Cloud representation of the collection's source material, <strong>the host institution will have a qualitatively different and important new resource for both education and research</strong>.</p>
<p>Given a set of analytic query tools for aggregation and visualization – as will be part of the mission of FactMiners.org, the Open Source developer community supporting the FactMiners ecosystem – it is easy to imagine how <strong>this resource would enhance casual visitors' exploratory learning experiences</strong>.</p>
<p><strong>But perhaps the greatest value will come from the increased efficiency that a Fact Cloud can provide to serious researchers.</strong> Given access and tools to use a sufficiently comprehensive Fact Cloud, prospective researchers may be able to significantly reduce or even eliminate the need for ad hoc ("one-off") data gathering and scoring tasks within a research project. Indeed, a Fact Cloud may very well <strong>enable researchers to imagine and then pursue answers to questions that they might not have even asked before availability of a Fact Cloud companion to a source collection</strong>, especially when faced with limited research funding.</p>
<p>I could go on speculating about the prospective value of FactMiners' Fact Clouds as educational and research resources, but in closing I want to turn to an underlying question...<a name="johnhenry" id="johnhenry"></a></p>
<h2>Won't FactMiners Fail Like John Henry?</h2>
<div class="image-right"><img src="/sites/default/files/images/32_cent_stap_john_henry.jpg" width="176" height="277" alt="32_cent_stap_john_henry.jpg" /></div>
<p>One might suppose that my comparison of FactMiners with folksonomy begs the question of whether a crowdsource-powered social gaming approach to <a href="http://en.wikipedia.org/wiki/Text_mining">text mining</a> (the more general domain of FactMiners, AKA <a href="http://en.wikipedia.org/wiki/Text_mining#Text_mining_and_text_analytics">text analytics</a>) can realistically compete with the sophisticated technologies for algorithmic knowledge graph and ontology generation, concept and entity discovery, etc. found in the emerging market for enterprise-based semantic web solutions offered by such players as <a href="http://digirati.co.uk/">Digirati</a>, <a href="http://www.bitext.com/">Bitext</a>, and <a href="http://www.semantic-web.at/">The Semantic Web Company</a>. </p>
<p>In other words, isn't FactMiners' fact mining doomed to the same fate as <a href="http://en.wikipedia.org/wiki/John_Henry_(folklore)">John Henry</a> who pitted his prowess as a "steel-drivin' man" against the steam-powered hammer of industrial mechanization?</p>
<p>In answer to this important question I believe my sentiments would align more closely with those in the museum informatics community rather than the players in these enterprise markets. That is, while I see the importance and need for computational/machine solutions to text mining for domains such as health care records management and research, social media marketing, recommendation-based publishing, and government services (among others), we cannot lose sight of one of the fundamental goals of organizations that preserve and make available on-line collections and archives such as The Softalk Apple Project. And that is, <strong>our mission is driven by a commitment to encourage access to our collections within an exploratory learning environment; to be the spark that ignites new interests and understanding</strong>.</p>
<p>We simply cannot outsource to machine algorithms the exercise of our minds and the value of learning from our past. So on one level, the question of whether we could do FactMiners "better, faster, cheaper" with emerging text mining and text analytic technologies is moot. But let's be clear. This is not a distinct either/or proposition. </p>
<p>There is plenty of room for judiciously incorporating emerging relevant technologies into the FactMiners ecosystem. The cutting edge will have to be "Does this addition make playing FactMiners more fun? Does this make it a better game?" And there is nothing about fun that can't incorporate increased efficiency or ease of guided user interaction.</p>
<p>For example, the <a href="http://www.FactMiners.org">www.FactMiners.org</a> developer community mission will include an initiative to promote development of "machine-assisted" FactMiners' fact mining. We foresee this Open Source community <strong>sponsoring academic and independent developer contests</strong> to contribute "smart plug-ins" to the mix of task-engine workflow resources available to FactMiners' players. </p>
<p>We expect to see "machine-assists" for efficient fact discovery, composition, and verification, but their use will not be mandatory nor will they encourage "machine cheating" within the scoring and achievement aspects of the social game. <strong>There will be gamification dynamics/constraints in place to ensure that "human only" FactMiners players do not compete at a disadvantage with "machine-assisted" FactMiners.</strong> </p>
<p>To support Fact Cloud hosts' visitor engagement goals, the Fact Cloud configuration profile will include a setting in the API to allow or disallow players' user of "machine-assisted" workflow plug-ins when contributing to the organization's Fact Cloud. And <strong>we plan to host John-Henry-like "Human vs. Machine-assisted" friendly team tournaments as well as maintain separate leader-boards and achievements for Manual and Machine-assisted play.</strong></p>
<p>I could go on in speculation about what will be in or out in terms of FactMiners fact mining, but this is already an overly long piece by web-reading standards. (Thank you for getting here, BTW.) My hope is that I have said enough, and said it clearly enough, to accomplish our original goal of writing this piece. And that is...</p>
<p><strong>We welcome members of the Museum Informatics community </strong>to help us in our mission to preserve, explore, and extend the legacy of Softalk magazine as the data source for FactMiners first Fact Cloud. In doing so you will <strong>help us contribute the FactMiners ecosystem to the resources available to museums and archives hosting on-line collections</strong>.</p>
<div class="image-left"><em>Jim Salmons<br />The Softalk Apple Project<br />Cedar Rapids, Iowa USA</em></div>
</div></div></div>Tue, 08 Oct 2013 01:09:42 +0000Jim Salmons10 at http://www.factminers.orghttp://www.factminers.org/content/factminers-more-or-less-folksonomy#comments
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