102 results for microsoft semantic web
It seems as though nothing short of a new buzzword can stop the burst of activity in the vertical search market, and who are we to complain? Vertical search engines differ from their horizontal brethren (who attempt to index the Web as a whole) by focusing on a single topic or niche about which to index information from the Web. Often, a VSE can deliver results with much greater relevancy and accuracy than major horizontal players like Google, Yahoo, and Microsoft.
Continue reading Vertical Search Engines are Domain Knowledge Silos
Microsoft has taken steps in the direction of supporting Semantic Web standards such as RDF, OWL, and SPARQL. While their support is minimal and not hyped very broadly it is still nice to see the them implementing these standards in their software. I also haven't seen any evidence that they wish to formulate a proprietary brand of these standards, so I have no complaints.
Continue reading How Microsoft Invests in Semantic Web Technologies
Here's another list of interesting links for your reading pleasure! If you find a site or article that would fit well in a Link Roundup post send it our way!
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
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
Swoogle 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
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
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
Last night I had an interesting conversation with an online acquaintance about the Semantic Web. I was surprised to find that the mere mention of the name "Semantic Web" sent him into a 5 minute rant about how much he disliked everything to do with it. His biggest qualm was with what he considered to be the empty promises made by proliferators and supporters of the Semantic Web. One example promise was that the Web would be transformed into an artificial intelligence that will think and act independently from humans.
Continue reading Misconceptions of the Semantic Web versus reality
- Semantic metadata for video and other multimedia?
- Will a new platform away from the browser have huge success? (ala Joost)
- How can video games benefit from what we're doing with the Semantic Web?
- Is Wikipedia the best playground for natural language processors to test their ability?
- Does the World Wide Web as we know it need to be replaced?
- Is HTTP inadequate for the future of the Web where streaming and maintaining state are becoming increasingly important?
- Are we entering another brutal browser war? Maybe this one will be different because we know the importance of compatability
- Will RDF or RDF/a be adopted by mainstream Web developers to markup semantic metadata?
- ...Or will something come along that's better suited and easier for beginners to pick-up
- Are we making any progress as-is towards our goal, or do we need to look for a different approach?
- Is the best course bottom-up (building the Semantic Web from the ground up by using semantic markup, microformats, RDF, etc) or is it top-down (using natural language processors to read the Web and make sense of it for us).
- With the freedom to create any RDF vocabulary or any ontology for that matter, will the real power be in mapping my meaning to your meaning?
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