search
Search as Big Brother, Molding What You See and Think
A recent TED presentation is by Eli Pariser. He is the author of “The Filter Bubble: What the Internet Is Hiding From You.” A new and very interesting book. His talk is a synopsis of how the Google personalization algorithms effect search results. Google results are influenced by your own search history and other online activity. Any system such as Amazon, Yahoo, Bing ebay shopping systems depend heavily on personalization to serve you results. Traditional databases do not use profiles (yet) but they are often based on Verity, Vivisimo, Autonomy, Fast and other mathematically based search software so they could and they do serve up different results whenever the vectors are reset – that is every time additional data is added to the system with updates or metadata enrichment.
Read MoreOntology Systems Goes Rogue
Ontology Systems, best known for their semantic search technology, has released Ontology 3. Previously known as OSS/CAD and now in its third generation, the new release focuses on the user experience.
Read MoreNew Release Allows Flexible Search
Mindseye Solutions has announced the first of two major releases. Included in these releases are Flexible Search and a number of significant improvements to the handling of Lotus Notes.
Read MoreThe Future of Search
Search engines often fail when it comes to discerning intent. Searchers want information about things and search engines are looking for documents. But with the help of semantic technology, this is changing.
Read MoreBaby Name Database Launched
A new baby name portal has been launched using a flexible and user-friendly search interface. Babynology provides additional details including background, meaning and usage patterns.
Read MoreNot True!
The Autonomy folks must be getting worried about the progress of taxonomy applications and the precision and recall that such systems provide. Autonomy and Google live on relevance rankings as the return to the user. Relevance to me is a confidence game. It is the best guess of the system as to whether the results returned will actually match the user’s request. If you have a big enough data set returned, certainly something in there will be useful. But the sheer amount of items the user has to review (or amount of noise they have to look at) is very annoying. So they rank the returns by relevance based on a number of statistical factors so the most likely items based on co-occurrence with terms matches and near matches will appear at the top of the list – that is, they will be relevance ranked.
Read MoreLucid Imagination Joins the SharePoint Crowd
In a familiar story, we learned that Lucid Imagination released an update to their LucidWorks Enterprise product this week that includes a way of connecting the search tool directly to SharePoint repositories.
Read MoreBig Data, Big Challenges
Everyone seems to be addressing the challenges of data – managing it, handling it, storing it. However, for startups that challenge is even more daunting.
Read MoreTime for the Turf War to End
There has been a long time competition, war, or some battle of sorts between website usability and search engine optimization. Each side argues that they know best how to make web pages findable in search engines. The irony? They are both right.
Read MoreSemantic Search Technology Awarded a Patent
Expert System has been awarded a patient by the U.S. Patent and Trademark Office for its Cogito® semantic platform. The patient safeguards Cogito, which relies on deep linguistic analysis and semantic disambiguation of text to ensure a complete understanding of a text without the use of statistics or keyword based technologies.
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