Archive

Posts Tagged ‘Knowledge Representation’

Planeta Web Semántica: Spanish Semantic Web News Aggregator

May 17th, 2008
I got an email from Dolors Reig about his Semantic Web planet-type site, Planeta Web Semántica, an aggregator of Semantic Web news in Spanish. The site indexes feeds in both Spanish and English to make up for the shortage of Spanish-language Semantic Web activity in the blogosphere. I doubt this will be so in the near future as Semantic Web concepts continue to gain traction with people around the world. The site sports a clean layout and I like that you're given the ability to comment on each news item. This is an excellent resource for those whose primary language is Spanish. Got something to say? Leave a comment!

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Building Semantics is Different from Building the Web

May 17th, 2008
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. Building the Web is a professional activity. Ordinary users do not have the knowledge nor do they have the interest to design efficient network transmission protocols or data presentation formats. Hence to the end, these Web-construction issues can only be solved by few well-trained professionals. As long as the eventual results (i.e. the constructed Web) works well, ordinary users do not care what has been implemented technically. Building semantics is, however, a different story. "Semantics" is a subjective term by contrast to "the Web" which is an objective term. For instance, to the same name Tony Blair George W. Bush will label and assign it the semantics such as ally and friend while Osama bin Laden will label and assign it the semantics such as enemy. So is Tony Blair a friend or an enemy? It very much depends on who answers or who searches the answers. Because of this reason, building semantics cannot be restricted to the hands of few professionals. By contrast, it must engage the participation of all Web users. In a recent blog post, Nova Spivack emphasized that only the companies that have adopted Semantic Web technologies such as RDF and OWL in their infrastructure might be titled the "Semantic Web companies." Though this argument makes sense, it is not the precise declaration in my point of view. As we just discussed, adopting technologies such as RDF and OWL helps build a web that can be enhanced by explicit semantic specifications. These technologies themselves do not mean semantics. No single company can substitute billions of Web users and to specify semantics for them since assigning semantics is a subjective issue. Only Web users can specify semantics by themselves and for themselves. So what Nova's argument suggested is actually the companies dedicated to building a web in contrast to building semantics. The companies dedicated to building semantics are the ones that focus on providing users facilities for declaring their own semantics. Of course, however, Twine seems to match both categories by using Semantic Web technologies and encouraging user-specified semantics. Hence we can determine that Radar Networks is a Semantic Web company. By contrast, Digg is not a Semantic Web company yet even when it has tried to store data in RDF because it hardly encourages user-specified semantics. Got something to say? Leave a comment!

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My First Experiences with Twine

March 12th, 2008

Today finally I logged in to Twine the first time. I was reading yesterday about some shortcomings of the system, so I was keen on trying out the system by myself to get my own impression.

It's true that the system isn't as easy to understand as del.icio.us or other bookmarking tools. It takes a while until you get used to all those additional ways you can navigate through the system. Remember: "Twine looks at content and parses it automatically for the names of people, places, organizations and other subject tags. Users are then able to navigate between related content, view recommended content and connect with recommended people with related interests."

The "shortcoming" mentioned by Marshall Kirkpatrick that "... it's hard to keep track of all the levels and types of information available" I can't agree with: This has only to do with a general problem, which arises whenever semantic technologies should enhance the user experience. Either you stay with "simple" user-interfaces like Google or del.icio.us or you spend 5 minutes or so to learn a new piece of software which will help you to save time in the future and which helps you to find related information automatically.

On the other hand I was very surprised, that the automatic recommendations Twine makes on how to annotate or describe a new resource is really unsatisfying. Users will only spend time to tag their bookmarks if the machine comes up with some intelligent suggestions. And it's true, as Marshall says, "most of the web is made up of ugly, non-standard pages."

So hopefully Twine will add that feature before it will open up to the public (isn't there a plan to integrate OpenCalais or something similar?), otherwise there will be no "first mainstream semantic web application" but only another prototype of a yet another semweb-app.

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Semantic Web Search Engine Roundup

February 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.

Semantic Web Search Engine (SWSE)
SWSE is a search engine for the RDF Web on the Web, and provides the equivalent services a search engine currently provides for the HTML Web. The system explores and indexes the Semantic Web and provides an easy-to-use interface through which users can find the information they are looking for. Because of the inherent semantics of RDF and other Semantic Web languages, the search and information retrieval capabilities of SWSE are potentially much more powerful than those of current search engines. SWSE indexes RDF data from many sources, including OWL, RDF and RSS files. RSS2 is converted to RDF and they will be adding GRDDL sources soon. Developed by DERI Ireland.
Sindice
Sindice is a lookup index for Semantic Web documents built on data intensive cluster computing techniques. Sindice indexes the Semantic Web and can tell you which sources mention a resource URI, IFP, or keyword, but it does not answer triple queries. Sindice currently indexes over 20 million RDF documents. Developed by DERI Ireland.
Watson
Allows you to search through ontologies and semantic documents using keywords. At the moment, you can enter a set of keywords (e.g. "cat dog old_lady"), and obtain a list of URIs of semantic documents in which the keywords appear as identifiers or in literals of classes, properties, and individuals. You can also use wildcards in the keywords (e.g., "ca? dog*"). Developed by KMi, UK.
Yahoo! Microsearch
Microsearch is Yahoo!'s stab at Semantic Web search and provides a richer search experience by combining traditional search results with metadata extracted from Web pages. Indexes RDF, RDFa and Microformats crawled from the Web. Microsearch will soon be adding support for GRDDL.
Falcons
Falcons is a keyword-based search engine for the Semantic Web, equipped with browsing capability. Falcons provides keyword-based search for URIs identifying objects and concepts (classes and properties) on the Semantic Web. Falcons also provides a summarization for each entity (object, class, property) for rapid understanding. Falcons currently indexes 7 million RDF documents and allows you to search through 34,566,728 objects. Developed by IWS China.
Swoogle
Searches through over 10,000 ontologies. 2.3 million RDF documents indexed, currently including those written in RDF/XML, N-Triples, N3(RDF) and some documents that embed RDF/XML fragments. Currently, it allows you to search through ontologies, instance data, and terms (i.e., URIs that have been defined as classes and properties). Not only that, it provides metadata for Semantic Web documents and supports browsing the Semantic Web. Swoogle also archives different versions of Semantic Web documents. Developed by the Ebiquity Group of UMBC.
Semantic Web Search
Powered by RDF Gateway, Intellidimension's proprietary platform for Semantic Web applications and agents. Developed by Intellidimension Inc.
Zitgist Search
The Zitgist Query Service simplifies the Semantic Data Web Query construction process with an end-user friendly interface. The user need not conceive of all relevant characteristics - appropriate options are presented based on the current shape of the query. Search results are displayed through an interface that enables further discovery of additional related data, information, and knowledge. Users describe characteristics of their search target, instead of relying entirely on content keywords.

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