This is also called faceted search ( http://zylab.wordpress.com/2010/04/28/how-to-find-more/ ). By combining multiple facets in one search, dynamic filtering becomes a reality and searching becomes much easier! A great example of faceted search and faceted navigation can be found here: http://www.flickr.com/photos/morville/sets/72157623085918037/
However, in a dynamic taxonomy for faceted search, the multiple relationships between the concepts are dynamically inferred and also immediately visible to the end user
Here are some thoughts on how search can be constructed to help users be most effective: Tags – tag content through the use of folksonomy and/or taxonomy; the search engine can then search and filter based on this meta data Faceting – provide high-level filters to segment images, videos, people, intranet sites, etc
Text mining (both statistical and linguistic) and other exploratory search types such as faceted search (http://zylab.wordpress.com/2010/05/28/faceted-search-how-to-go-from-a-static-to-a-dynamic-taxonomy/) have contributed significant to the usability of search interfaces. 15 years ago, there was not enough electronic data to train the statistical algorithms and there was not enough coverage of languages to implement proper disambiguation of, for instance, pronouns, co-references and entity boundaries (http://zylab.wordpress.com/2010/04/28/how-to-find-more/). 3
For starters we don’t count stuff without adding up the larger questions around the counting table. We create facets around search results – not because the results are important (to anyone outside of Google and our SEO buddies) but because of the patterns in the facets that will help our users to steer decisions and influence outcomes
A user who is looking for documents that cover several topics or facets may want to describe each of them by a disjunction of characteristic words, such as vehicles OR cars OR automobiles. A faceted query is a conjunction of such facets; e.g. a query such as (electronic OR computerized OR DRE) AND (voting OR elections OR election OR balloting OR electoral) is likely to find documents about electronic voting even if they omit one of the words "electronic" and "voting", or even both.โ
They're too distracted to care that Refiners as time frames are really time stamps in server logs and that authors are administrators with network access Here’s what I’m finding out through trial and mostly error while we conduct a bakeoff between FAST and Coveo, the incumbent vendor dating back to our SharePoint 2003 edition of KM at PRTM: FAST doesn’t do multiple values -- more specifically multiple values can be indexed IF you don’t use them in facets (as Refiners). Sound familiar?
Some of this burden can be shouldered by facets – those groups of pre-filtered term sets that reinforce the intentions of the searcher
As a result, fast support for more complex calculations such as wildcard searches, fuzzy searches, hit highlighting, hit navigation, and other search tools such as taxonomy, and faceted search all have to be calculated at search time, when the search engine algorithms use the search index to find relevant web pages or documents
Narrow your PoC to vendors who respect top-of-mind metadata and can channel date ranges, authors, companies, and other entities into facets. Then go them one better and share your own topic maps and categorical schemes
8403 Colesville Rd #1100Silver Spring, MD 20910USA
Phone: (301) 587-8202Toll free: (800) 477-2446Email: hello@aiim.org
JoinBenefitsLearn More
About UsTerms of Use