We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Semantic Search Wikipedia Entry: Needs Help
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Semantic Search Wikipedia Entry: Needs Help
Uncategorized

Semantic Search Wikipedia Entry: Needs Help

Daniel Tunkelang
Daniel Tunkelang
2 Min Read
Semantic Search Wikipedia Entry: Needs Help
Illustration generated with Qwen Image.
SHARE

I haven’t written a community post in a while, but I thought that, with everyone getting into the Thanksgiving spirit, perhaps someone might be inspired to give to a Wikipedia entry in need. I’m talking about the semantic search entry, which–as the talk page notes–needs work.

As I told Ron Miller in my recent one-on-one with him:

Semantic search means different things to different people, but broadly falls into two categories: Using linguistic and statistical approaches to derive meaning from unstructured text, using semantic web approaches to represent meaning in content and query structure.

Perhaps someone here could reorganize the Wikipedia entry along these lines?

Or, if you don’t feel sufficiently expert on semantic search to rework the content, perhaps you could help despam the entry, following the example of what I did for the enterprise search entry. I moved the vendors to a separate entry and culled vendors that didn’t have their own Wikipedia entries (which is the accepted “notability” standard).

More Read

Top 13 Reasons to Have a Smart Intranet Portal
Top 13 Reasons to Have a Smart Intranet Portal
For Rent: Lots Of Space (Not Digital)
Analysis Reveals Dramatic Rise in UK Tech Investments
Use BI to say BYE to the recession
What does it mean to be an expert?

I know that editing Wikipedia entries is a thankless job. But someone has to do it. And if folks like us don’t then these pages often are overrun by spammers. Think of this as a small contribution to global knowledge management. At the very least, you’ll have my thanks.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is that reliable eCommerce attribution depends on a unified, well-st
How eCommerce Data Teams Can Build Attribution That Holds Up
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the contrast between fragmented inherited data infrastructure (wh
Data Stack Consolidation as a Data Quality and Governance Strategy for Mid-Market Teams
Big Data Exclusive
Emergency responder and nurse reviewing tablet with data dashboards
Evaluating Workforce Assessment Tools: Looking Beneath the Dashboard at Psychometric Data
Exclusive Software
Flat editorial illustration: The article's core relationship is the brand protection response workflow: detection of a phishing o
Data & AI Architecture Focus: 6 Best Brand Protection Tools for Phishing and Impersonation
IT Security

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Kotter and the Knowing-Doing Gap
Uncategorized

Kotter and the Knowing-Doing Gap

5 Min Read
The Internet of Things Could Stop Our Waterways from Dying
Uncategorized

The Internet of Things Could Stop Our Waterways from Dying

5 Min Read
Hybrid Cloud: You Don’t Have to Go All In
Uncategorized

Hybrid Cloud: You Don’t Have to Go All In

4 Min Read
Are You a Data Hoarder? Learn How to Manage the Clutter
Uncategorized

Are You a Data Hoarder? Learn How to Manage the Clutter

6 Min Read

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

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?