103 results for semantic updates
I've been steadily churning out code for the Planet Semantic Focus aggregator and interface, and I'm happy to say that it's nearing completion. Believe me, I can't wait to release that site!
The aggregator uses SimplePie to process various feed types and I have to say it's been a pleasure to work with! It has made getting a feed aggregator off the ground a much simpler task.
Continue reading Update on Planet Semantic Focus
I've rounded up over 60 Semantic Web blogs for your reading and subscribing pleasure! These blogs are just a portion of the sources being indexed regularly by the soon-to-be-launched Planet Semantic Focus. Enjoy!
Continue reading 60+ Semantic Web Blogs (List)
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
ISWC 2008 will take place at the Kongresszentrum (Congress Center) in Karlsruhe, Germany from October 26th to the 30th. Information on invited speakers is not yet available.
Details surrounding ISWC 2009 have not yet been finalized, however Rudi Studer of the Semantic Web Science Association announced that it will be held in the Washington DC area. The conference is slated to be held at the end of October or the beginning of November.
Now that Freebase is available as Linked Data a big question that comes to mind is whether these two major projects will move to assimilate one another. DBpedia and Freebase – two endeavors primarily focused on curating unstructured and semi-structured data about everything and releasing it back into the wild (with structure) – get the bulk of their information from Wikipedia, so the amount of topical overlap is assumed to be extremely high. DBpedia gains new information when it extracts data from the latest Wikipedia dump, whereas Freebase, in addition to Wikipedia extractions, gains new information through its userbase of editors.
Continue reading Cross-Pollinating DBpedia and Freebase
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
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