Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Semantic Web and Complementary Technologies
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > The Semantic Web and Complementary Technologies
Business Intelligence

The Semantic Web and Complementary Technologies

MIKE20
MIKE20
5 Min Read
SHARE

Contents
IE: No, the Other OneIE: No, the Other OneAn ExampleSemantic TechnologiesFeedback

In my previous post, I discussed the business case for the semantic web and how it is affecting customer service. In the third part of the series, I address the semantic web in the context of specific enterprise technologies.

IE: No, the Other One

Throw out the term IE and most people think of one of the following:

More Read

Overlapping Decision Management Technologies Product Categories
BI Democratization Could Mean Big Value
Last month, IBM CEO Samuel Palmisano advised President-elect…
Amazing AI-based Image Upscaler From VanceAI
How Text Mining Can Help Your Business Dig For Gold

In my previous post, I discussed the business case for the semantic web and how it is affecting customer service. In the third part of the series, I address the semantic web in the context of specific enterprise technologies.

IE: No, the Other One

Throw out the term IE and most people think of one of the following:

  • Internet Explorer
  • The Latin term id est (i.e., or i.e.). This typically means that is. Example: Phil didn’t embarrass himself on the golf course today–i.e., he shot an 85. (Which I did, by the way, a few weeks ago. Polite applause…)

But there’s another type of IE and it’s critical from a semantic technology perspective: Information Extraction.

In their book Semantic Web Technologies: Trends and Research in Ontology-based Systems, John Davies, Rudi Studer, and Paul Warren define this type of (IE) as “a technology based on analyzing natural language in order to extract snippets of information.” IE allows users to easily find five types of information:

Contrast IE against what most enterprises rely upon today: basic information retrieval (IR). IR finds relevant text and returns a simple list. While this is useful, IR forces the user to determine the most relevant piece(s). IE, on the other hand, automatically does this analysis for the end user; it only returns the most germane results and, most important, in a superior format. This may be a spreadsheet that allows for sorting, filtering, and adding fields. In other words, there is greater context.

An Example

All of this may seem a bit abstract. Let’s make it more real. Consider searching for golfers with Google. No doubt that you know what basic Google search results look like. However, what if you performed that same search using a semantic technology? Consider the output below:

Pretty neat, eh? Note how each golfer’s picture, name, and date of birth appear by default. But what if you want to see more fields, such as earnings? No problem. Just type in earnings and you can see just how much money folks like Tiger Woods have made by being able to hit a white ball (when he’s not, er, doing other things).

Semantic Technologies

To make magic like this happen obviously requires, among other things, a great deal of technology behind the scenes. Beyond technology, however, accurate data, metadata, and tags are needed.

IE is more efficient and ultimately useful than IR. However, the technological requirements for IE far exceed those of IR. While IR can rely upon simple keywords or text, IE requires much more, often including technologies such as:

  • Natural Language Processing (NLP)
  • Artificial Intelligence
  • Machine Learning
  • Data Mining

To the layperson, all of this is irrelevant. They merely want a way to solve a problem, such as reducing the time required to find the most relevant emails. To this end, consider what one technolgoy company, Meshin, does. It takes a semantic approach to email, using NLP and other technologies to ultimately locate relevant emails quicker and better than traditional methods.

Information extraction trumps information retrieval. However, let’s remember that we’re in the early stages of Web 3.0 and the economy isn’t great. For these reasons, don’t expect simple IR to go away anytime soon. To be sure, accurate IR is certainly far better than the dismal search functionality of Web 1.0 in the 1990s. As semantic technologies develop, the social web matures, and the economy improves, expect search and the semantic web to do the same.

Don’t believe me? Check out what Eric Schmidt of Google said on a recent interview with Charlie Rose. Things are going to get interesting over the next five years.

Feedback

What say you?

TAGGED:semantic web
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

big data analytics in transporation
Turning Data Into Decisions: How Analytics Improves Transportation Strategy
Analytics Big Data Exclusive
AI and fund manager software
AI And The Acceleration Of Information Flows From Fund Managers To Investors
Artificial Intelligence Exclusive
sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

A Semantic Web Case Study

6 Min Read

ReadWriteWeb Interview With Tim Berners-Lee, Part 2: Search…

2 Min Read

Happy New Year: What’s Ahead for the Semantic Web (Part 2)

2 Min Read

Trillion Triple Semantic Database

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?