58 results for data storage in oracle

JAN 15th 2009

Oracle 11gOracle 10g Release 2 / Oracle 11g offers a robust, scalable, secure platform to store RDF and OWL data. It allows efficient storage, loading and querying of semantic data. Queries are enhanced by adding relationships (ontologies) to data and evaluated on the basis of semantics. Data storage is in the form of RDF triples (Subject, Predicate, Object) and can scale up to millions of triples. The triples stored in the semantic data store are modeled as a graphed structure. All the data is stored in a single central schema allowing access to users for loading and querying data.

Continue reading Semantic Data Storage in Oracle

SIOCSemantically-Interlinked Online Communities (SIOC for short) is a framework aimed at connecting online communities and discussions from blogs, forums, content management systems mailing lists, and anything else. In the current Web, communities such as forums and blogs are like islands - they contain valuable information but are not well connected or queryable. SIOC allows you to connect these sites, and enables the extraction of semantic information from unlimited discussion platforms.

Continue reading Connect Discussions Between Blogs, Forums, and more with SIOC

SEP 25th 2007

I recently read on Network World that Gartner's David Mitchell Smith said "There are a lot of constituencies trying to hijack the term Web 3.0." I don't think I like Web 3.0 just yet, do you? I agree with the Gartner representative that Web 3.0 wreaks of marketing hype, and in my opinion it is a race by people that felt left behind by the Web 2.0 movement. Vendors pushing the term Web 3.0 are advocating the rise of the Mobile Web, virtual worlds, and the Semantic Web. I agree that all of these technologies will take rise, but I don't agree that we should call that era "Web 3.0."

Continue reading Where Do You Stand on Web 3.0?

Update: Joe from the Squio blog has posted a response to this entry.

Microformats vs. RDFMicroformats are a wildly popular set of formats for embedding metadata within normal XHTML. The primary advantage Microformats offer over RDF (including its embedded serializations) is that you can embed metadata directly in the XHTML, reducing the amount of markup you need to write (e.g. you don't have to write XHTML and additional RDF). Many people have contended that Microformats are a possible replacement for RDF, however Microformats were not designed to cover the same scope as RDF was. While both Microformats and RDF make it possible to store data about data, they simply do not work to solve the same set of problems.

Continue reading Microformats vs. RDF: How Microformats Relate to the Semantic Web

OCT 30th 2008

The Seesaw Effect of Algorithms vs. DataOver the years I've noticed that the importance of algorithms and data tends to shift back and forth, depending on which at the time is hardest to duplicate (often from a business perspective). This effect seems to be caused by the availability or demand of one side increasing or decreasing, shifting the balance of importance to the other. At one point the world of software was dominated by the proprietary. The organization with the best software (backend, algorithms, etc) was the dominant entity and data (from say, a Web 2.0 perspective) was generally not the focus. This may have partly been the responsibility of a mindset formed during an era with very little storage space and before mass user activity on the Web.

Continue reading Algorithms vs. Data: The Seesaw Effect

DEC 9th 2008

FreebaseFreebase stores millions of entities and assertions about nearly every topic one can ponder (thanks are owed to their seed dataset – Wikipedia – and their amazing community). The amount of information that Freebase stores is incredible, and is a testament to what can be accomplished with the help of a dedicated community and a little (or a lot) of clever software engineering.

Continue reading Can Graphd Scale to Meet Semantic Web Demands?

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

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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