Semantic Search Engines

“Semantic” is a word with a magic ring to it in search of engine circles. The way it’s hyped makes you suspect it is the second coming of search Web. What is semantic search? in your understanding, well let me guess in which some will say it is a just normal search whereby you may just type what you want to search and you will find it but some will find what they want which might take hours in order to be satisfied. In semantic search engine attempts were made to make sense of search results based on context. It automatically identifies the concepts structuring the texts. For instance, if you search for “election” a semantic search engine might retrieve documents containing the words “vote”, “campaigning” and “ballot”, even if the word “election” is not found in the source document.

SenseBot

A search engine that summarizes search results into one concise digest on the topic of your query. The search engine attempts to understand what the result pages are about. For this purpose it uses text mining to analyze Web pages and identify their key semantic concepts.

Powerset

At present not a regular web search engine. It works best on smaller, relatively structured corpora. The technology offers a comprehensive view of such information. You can test it on Wikipedia and Powerset definitely excels at this, structuring the information and presenting it in a way that, for research purposes, is a great improvement on Wikipedia’s own search engine.

DeepDyve

A professional research tool available for free for the general public. It is a research engine that lets you can access expert content from the “Deep Web”, the part of the Internet that is not indexed by traditional search engines (e.g. databases, journals etc.).

Cognition

Cognition has a search business based on a semantic map, built over past 24 years, which the company claims to be the most comprehensive and complete map of the English language available today. It is used in support of business analysis, machine translation, document search, context search and much more.

Get the idea what semantic search engines are all about?

Arun Radhakrishnan (Search Engine Journal), [Online], Retrieved 14 Feb 2011.

URL: http://www.searchenginejournal.com/semantic-search-engines/9832/

Semantic Search Engines, [Online], Retrieved 15 Feb 2011.

URL: http://www.pandia.com/sew/1262-top-5-semantic-search-engines.html

Web 3.0 Applications

Twine

“Knowledge networking” is the best way to describe Twine. It is an application that links people through their knowledge and interests - not socially - which forms into a graph type and it is called 意味グラフ (semantic graph). Like Wikipedia, where users get information from the system, in Twine, users get information from other users. It is done with semantic tagging and connects everything users search plus allowing them to rearrange their work as they keep on searching. Twine will contain RSS feeds to follow other posts, topics, events, etc; viewing and commenting.

Hakia

Hakia is a semantic search engine.. While most of the current search engines match keywords to obtain results, Hakia "supposedly" able to relate the terms in a sentence, thus producing more accurate results.

One of Hakia’s technologies is QDEX Infrastructure (Query Detection and Extraction) . It's a method of analyzing search queries at sentence level and producing meaningful results. “QDEXing” 名 (names), 日付 (dates), events and information will produce meaningful results.

Triplt

Having trouble with travel planning? Then leave it to Triplt.

All you have to do is send an email with the main information such as destination, budget, and the period. Based on this, Triplt will relate the information you provided with the parameters you set like the budget and present you with an itinerary of the travel fair, hotels, car rentals, local attractions and etc etc. And based on the period, you'll get the weather forecast ( so you'll know whether it may be and in door or out door trip). within this itinerary, your given the ability to set your plans in order by scouting the restaurants, theaters, tours and many more.

Do you think these applications will be helpful? Well I sure do.

Computer World, [Online], Retrieved 4 February 2011.
URL: http://www.computerworld.jp/news/sw/59389.html

Tech Crunch, [Online], Retrieved 4 February 2011.
URL: http://jp.techcrunch.com/archives/twine-launches-a-smarter-way-to-organize-your-online-life/

David Southgate, [Online], Retrieved 5 February 2011.
URL: http://japan.internet.com/ecnews/20081104/12.html

The Pros & Cons

Nothing is ever perfect. Just as how there's no device that's 100% efficient. When there are advantages, more often then none, there are some disadvantages. And this holds true for Web 3.0.

Saves time

Signing up for accounts or filling in registration forms is going to get much easier. With Open ID, there is only one account that holds all of our information. For more on this, see Hartrishen's article.

Remember Paul the Octopus? The sea creature with a sixth sense. As you type your query into the search box, you'll get predictive search results suggestions. How is this different from what Google and Yahoo or other search engines? Well the suggestions will not be keywords only, it may also suggest topics related to your search based on what you have searched previously. As you use the web, your constantly being studied by Info agents. So the next time you enter the same query in Google, you may get a different and more accurate suggestion.

Identity Theft

So with Open ID, the idea is to save time and redundancy right? Well yeah but not only does it simplify your life, it simplifies the task for hackers ! (OMG)

With only one account containing all your personal data, your social security number or IC, Bank account and credit card details, No longer will there be a need for hackers to hack your Facebook, Paypal, eBay, Western Union, and other accounts to screw your life up. All it takes now, is just one account.


With vulnerabilities such as this, does it make you wonder what else Web 3.0 will be prone too?


References:

Bright Hub, [Online], Retrieved 1st February 2011.
URL: http://www.brighthub.com/internet/web-development/articles/82954.aspx