Mention the Semantic Web, and some people think it’s going to be a little slice of heaven, while others see it as the end of the world.
The first camp, which mainly includes scientists and researchers, wants to use computers to link up data from different sources to create a holistic view of the world.
The second, which is more concerned with the social impact of technology, counters that this would result in a massive invasion of privacy and that it will create useless results in part because it misses out on the implicit or ambiguous communications of the real world — where a wink is often as good as a nod. (And how would you wink if you were a computer?)
Of course, they both could be right. Ultimately, their debate is really about how the technological advances may impact society.
Scientists tend to like their worlds clear-cut and devoid of extraneous loose bits of matter, and typical of those who espouse the pro-Semantic Web view is Prof. James Hendler of Rensselaer Polytechnic Institute.
“My work is trying to integrate heterogeneous data using appropriate amounts of metadata (define) and doing things with metadata that you can’t do with language or specific data,” Hendler told InternetNews.com.
For example, he said, searching for a video on YouTube would likely be fruitless “unless you know the name of the artist and what you want to see.” Having brief descriptions of a video’s contents would be helpful but people submitting videos to the site “don’t want to write that many words when they send in their videos.”
However, if the files include a small amount of metadata, people searching for, say, the James Bond movie “Goldfinger” may be able to find the video even without knowing its name.
Users “would, for example, be able to say ‘I want that video where the guy takes off his hat and throws it at a statue and the head falls off and the hat comes back to you’ and it comes back with the title of the James Bond movie and a spoof.”
Learn how the Semantic Web is changing the way we treat data at the LinkedData Planet |
The vision, as articulated by Sir Tim Berners-Lee back in 1999, was of a Web in which computers “become capable of analyzing all the data on the Web — the content, links, and transactions between people and computers” and this would result in “the day-to-day mechanisms of trade, bureaucracy and our daily lives” being handled by machines talking to machines.
This article was first published on InternetNews.com. To read the full article, click here.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.