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Findability

Page history last edited by Dmitry Sokolov 6 years, 6 months ago

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https://en.wikipedia.org/wiki/Findability

Findability is a term for the ease with which information contained on a website can be found, both from outside the website (using search engines and the like) and by users already on the website.^[1] Although findability has relevance outside the World Wide Web, the term is usually used in that context. Most relevant websites do not come up in the top results because designers and engineers do not cater to the way ranking algorithms work currently.^[2] Its importance can be determined from the first law of e-commerce, which states "If the user can’t find the product, the user can’t buy the product."^[3] As of December 2014, out of 10.3 billion monthly Google searches by Internet users in the United States, an estimated 78% are made to research products and services online.^[4]

Findability is similar to, but different from discoverability, which is defined as the ability of something, especially a piece of content or information, to be found. It is different from web search in that the word 'find' refers to locating something in a known space {I Know What I Know - DVS} while 'search' is in an unknown space or not in an expected location {Other Knowledge Awareness Grades? - DVS}.^[5]

‘Findability’ Will Make or Break Your Online Business

Findability is the quality of a piece of information to be conveniently and intuitively “within reach” on the web when needed. In the hypercompetitive world of online commerce, ensuring that your findability is better than your competitors’ can be the difference between success and failure. First consider the two distinct hurdles to consumers finding exactly what they want on your site: external findability and on-site findability.

https://www.facebook.com/groups/774241602654986/permalink/943680899044388/?comment_id=943694509043027&reply_comment_id=945762248836253

Peter Jones Reframing this discussion now leads me to the following questions Dmitry, and I think you need to read my prior posts to see the connections I have made.
1. Public library systems have been digitised, and do allow search on some levels
2. PLS of course only operate on books, not on internet articles
3. Google, as a search engine, only finds what we ask it to look for there is no guidance or connectivity topic to topic
4. The option that allows authorship and connectivity is Wikipedia. Is there a case for using Wikipedia for each subject specialism, and does its article location speed meet requirement, Dmitry?

Dmitry Sokolov:

Peter, sorry, I looked through your comments and probably missed those you refer to. I had to break my answer into two parts:

- answers;

- notes on the research process

that could be of interest to Dasaratha Rama and other participants too.

Answers:

1. Search of texts is possible. However, of a few Search Modes, only keywords based full-text search is available: http://confocal-manawatu.pbworks.com/w/page/59919166/Search%20Modes

Findability in LikeInMind is realised due to the availability of Topic (Conceptual) Search mode that is a different method.

2. PLS operating books, Internet operating acticles, Forums operating posts, etc., all are the examples of information fragmented / distributed, or better if said scattered between basically different information media. Purpose of LikeInMind is to provide a single information space where information can be atomised, collected, processed and interconnected in accordance with logics and goals of each particular participant. When atomised and interconnected, any particular bit of information can be found in seconds.

3. Strongly Agree!

Google is good for Full-Text Search but has no Topic Search option, because building knowledge networks are not supported, to my understanding. Google Custom Full-Text Search is available at LikeInMind. However, in my practice, it is used in less than 1% of cases.

4. Articles in Wikipedia are heavily censored to suit it's policy. Only widely accepted and peer-reviewed facts are published. Forking of articles by any participant who is interested in developing his own hypothesis / point of view "free from" "contradicting alternatives" and building "his own" "model of the World" is not permitted by policy. In short, Wikipedia, being an open collaboration encyclopedia, gives no freedom to authors in publishing content they find suitable to their current needs and understanding. WikiMedia platform is not suitable for organising research and development processes: http://confocal-manawatu.pbworks.com/w/page/103221889/LikeInMind%20vs%20Wikipedia

While Topic Search is realised, Findability rates, variety and variation of Topics are not comparable with LikeInMind.

Notes on Research Process, on the example of our conversation:

... I looked through Peter's comments and probably missed those he refers to. That was the reason of collecting all the relevant resources at the Findability page:

http://confocal-manawatu.pbworks.com/w/page/97598472/Findability

I see the process we are participating in as a research on a particular topic. While a matter of discussion, the process includes following stages: http://confocal-manawatu.pbworks.com/w/page/102576427/Project%20Development%20Stages

1. Accumulation of relevant information in one space (in this case, at LikeInMind, as the platform of highest known findability rates)

2. As soon as the "critical mass" of information is collected and interconnected with other relevant information (at LikeInMind, as a findability platform suitable for building those connections and resulted knowledge networks), that creates a basis for our understanding

3. Development of methods applicable to solving particular problem and based on the understanding formed previously and during the processes of development and application

As a "conclusion" for this post, I would emphasise on the need in accumulating all relevant knowledge within a single information space, all the relevant knowledge interconnected in accordance to our understanding built through the whole research process, from data acquisition through modeling to application of the developed solutions.

Peter and Dasaratha Rama, thank you very much for your efforts on redirecting my writing into hopefully more readable and understandable format.

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