103 results for semantic web searches

MAR 11th 2007

For just about every area of research there exists documents online describing background information or techniques to accomplish a task in that domain of research. These documents are often referred to as white papers, provided their content is of technical or research orientation. The information held within white papers is essentially accessible by humans only because machines are not able to read and comprehend text in the same way humans can. If machines were able to read white papers and extract information in the same way humans can we would be able to store each fact and piece of knowledge from the documents. This method of indexing would facilitate much more detailed searches, allowing users to search by topic, theory, conclusion, methods, citations, references, etc.

Continue reading Extracting Information from White Paper Text

AUG 30th 2007

Yesterday I was using Google Trends to get a rough idea of what people were searching for, especially searches related to the Semantic Web. Today I've gathered a few of the graphs I created using Google Trends and BlogPulse Trends to give you an idea of the search and blogging volume for the Semantic Web, as well as how it compares to Web 2.0's buzz on the Web.

Continue reading Search and Blogging Trends for the Semantic Web

FEB 27th 2008

Unlike traditional search engines, which crawl the Web gathering Web pages, Semantic Web search engines index RDF data stored on the Web and provide an interface to search through the crawled data. Below is a list of Semantic Web search engines that are currently under development.

Continue reading Semantic Web Search Engine Roundup

When constructing the Semantic Web, we are actually building two varied aspects simultaneously. One aspect is the Web that includes things such as the communication protocols, the Web data presentation formats, and so on. In particular, we have invented new technologies such as RDF, OWL, SPARQL, and other W3C recommended Semantic Web standards. The other aspect is the semantics that represent the meanings of Web data. Building semantics is, however, different from building the Web.

Continue reading Building Semantics is Different from Building the Web

DEC 14th 2010

What is the Semantic Web?

Published 6 years ago by David Siegel

There's a lot of confusion about what the semantic web is, exactly. There are so many definitions that I can't possibly unify everything in one article. Some people say it's all about linked data, RDF, and ontologies. Some people call it "Web 3.0." (I recently gave a keynote speech at a "Web 3.0" conference, where many of the people had confused "Web 3.0" with "Web in 3D." I'm sure many people in the audience wondered why I wasn't talking about the future 3D web and, instead, was talking about information.) Some people say it will lead us to the singularity. Rather than try to define these terms, I propose we abandon them. I propose we stop talking about complicated solutions and start talking about problems.

Continue reading What is the Semantic Web?

JAN 8th 2007

Let's face it, Web documents in their current state are just about the worst way we exchange data. It usually comes in the form of HTML or XHTML, and rarely validates to any degree. In order to begin our approach towards Tim Berners-Lee's dream of the Semantic Web we must begin writing valid, semantic markup.

Continue reading Semantic markup gives Web documents meaning

JAN 9th 2007

The journey from now to the Semantic Web is a long one. What we currently have on our hands with the current version of the Web are billions of documents totaling terabytes of data. This data is usually found within HTML pages comprised mainly of non-validating markup and very little, if any, meta data.

While there are billions of documents on the Web that contain no meta data whatsoever there is one shining star of hope: Natural Language Processing. NLP can be used to sift through the "garbage" data to extract coherent statements about the information held within.

Continue reading Natural Language Processing and the Semantic Web

JAN 14th 2007

SwoogleSwoogle describes itself as being the search engine for the Semantic Web. Swoogle crawls the web looking for RDF documents. At this time Swoogle offers the these services:

  • Search ontologies and instance data
  • Search terms (URIs that have been defined as classes and properties)
  • Provide metadata of Semantic Web documents
  • Support browsing the Semantic Web
  • Archive different versions of Semantic Web documents

Continue reading Swoogle - the Semantic Web search engine

JUL 25th 2007

This post is a complement to the grassroots vs. ivory towers discussion. In the previous post, James mentioned two trends of realizing the dream of the Semantic Web. While the grassroots way encourages the wider adoption of the Semantic Web, the ivory-tower way stimulates the construction of Semantic Web standards. Besides all of these, these two sides indeed play different roles in weaving the Web — the destiny of web evolution.

Continue reading Weaving the Thread-Driven Semantic Web

JAN 15th 2007

Natural Language Processing is very important to the Semantic Web. Language processing algorithm development will rise as better and smarter NLP agents are used to scour silos of raw textual data for semantic meaning. The addition of NLP Web services to the Web will give light to new and innovative mashups. An example mashup powered could be a service that uses a language processing agent to read a news article about the Apple iPhone and:

Continue reading Future value paradigms of the Semantic Web

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