"Proposition: In the Old Game, it was important who was storing which information and to what purpose. But what counts in the New Game, by that measure, is how information is retrieved. This shift of focus does not only change our attitude towards knowledge, but also touches on the power structures inherent in any kind of knowledge."
(Michael Seemann, 2014, p.25)
Michael Seemann (2014). 'Digital Tailspin: Ten Rules for the Internet After Snowden'
"The use of data stored in transaction logs of Web search engines, Intranets, and Web sites can provide valuable insight into understanding the information–searching process of online searchers. This understanding can enlighten information system design, interface development, and devising the information architecture for content collections. This article presents a review and foundation for conducting Web search transaction log analysis. A methodology is outlined consisting of three stages, which are collection, preparation, and analysis. The three stages of the methodology are presented in detail with discussions of goals, metrics, and processes at each stage. Critical terms in transaction log analysis for Web searching are defined. The strengths and limitations of transaction log analysis as a research method are presented. An application to log client–side interactions that supplements transaction logs is reported on, and the application is made available for use by the research community. Suggestions are provided on ways to leverage the strengths of, while addressing the limitations of, transaction log analysis for Web–searching research. Finally, a complete flat text transaction log from a commercial search engine is available as supplementary material with this manuscript."
(Bernard J. Jansen, 2006)
Jansen, B. J. (2006). "Search log analysis: What it is, what's been done, how to do it." Library & Information Science Research 28(3): 407–432.
"We have created a metaphorical search engine. Our search algorithms generate results that assist people in the creation of new knowledge by returning disparate, but potentially metaphorically related information. These are the types of insights that are valuable for people working at the edges of their knowledge field. This is an immensely powerful creative tool for use by anyone who is looking to generate new ideas or see their problem or topic in a whole new light.
Yossarian is the main character of Joseph Heller's novel 'Catch–22.' Our work is highlighting the Catch–22 of current search and personalization algorithms, in that their use both simultaneously helps us through access to existing knowledge, and hurts us through the reinforcement of that same knowledge. In finding new and innovative search solutions to this problem, we declare that Yossarian Lives!"
"Art Photo Index (API) is a visual index of important art and documentary photographers, their images and their websites from throughout the world.
Our goal with API is to become the most useful index and search engine for discovering and exploring fine–art and documentary photography. Unlike other general purpose search engines where pertinent information is buried within the less relevant, the Art Photo Index search tool focuses only on a vetted art and documentary photographers and their work, making it the ideal search engine for our discerning audience of curators, gallery directors, publishers, editors, picture researchers, collectors and others who love art and documentary photography.
The photographers included in Art Photo Index have been selected as a result of their accomplishments in the art or documentary photography field. Many of those included have been published by major photobook publishers or serious art photography magazines. Some have received awards given by art and documentary photography organizations. Others are represented by major art photography galleries."
Fig.1 Meighan Ellis (2009). "The Assistant", Te Aro, Wellington, Aotearoa New Zealand, from the The Sitters series.
"The project had three overarching aims: to improve image searching and retrieval; to enable VADS images to be accessed more easily; and to facilitate increased use of the collection by academics. To achieve this, the project has developed OAI–PMH capabilities on the VADS database; developed and applied a general top level hierarchical taxonomy to the VADS collections; implemented a combination of controlled terms and free to edit user tags; and enabled academic users to create, annotate and publish their own image sets. "
(Amy Robinson, August 2009, p.4)
Fig.1 French photographer, JR.