You are currently browsing the monthly archive for October 2008.
The Semantic Web Challenge offers participants the chance to show the best of the Semantic Web. The Challenge thus serves several purposes:
- Helps us illustrate to society what the Semantic Web can provide
- Gives researchers an opportunity to showcase their work and compare it to others
- Stimulates current research to a higher final goal by showing the state-of-the-art every year
What is the goal?
The overall objective of the challenge is to apply Semantic Web techniques in building online end-user applications that integrate, combine and deduce information needed to assist users in performing tasks.
The Semantic Web Challenge Advisory board also defines an additional goal every year based on the development of the Challenge. Find out more about the upcoming Challenge.
Semantic Web Challenge 2008
Here is the list of accepted submissions for “Semantic Web Challenge 2008” which will be presented at ISWC 2008. You will find more information about these projects at challenge.semanticweb.org.
We see the Semantic Web as an enabler of the Relationship Web. What metadata, annotation, and labeling are to the Semantic Web, relationships of all forms (implicit, explicit, and formal) are to the Relationship Web. The primary goal of the Semantic Web has been described (by Tim Berners-Lee and many others) as integration of data or labeling of Web resources for more precise exploitation by both machines and humans. At the next level, the Relationship Web organizes Web resources for analysis that goes beyond integration to trailblazing, leading to deeper insights and better decision making.
Relationship Web takes you away from “which document” could have information I need, to “what’s in the resources” that gives me the insight and knowledge I need for decision making.
For more information, See the article: “Relationship Web Blazing Semantic Trails between Web Resources“.
The Semantic Deep Web integrates Semantic Web components with the employment of ontology-aware browsers to squeeze information out of the Deep Web, which is nonindexable, invisible, and concealed online content that is only accessible via Web services or Web-form interfaces, write New Jersey Institute of Technology professor James Geller and colleagues. “The primary goals of the Semantic Deep Web are to access Deep Web data through various Web technologies and to realize the Semantic Web’s vision by enriching ontologies using this data,” the authors note. To access the Deep Web with Semantic Web technologies, the Semantic Deep Web utilizes ontology plug-in search, a method for enriching a domain ontology with Deep Web data semantics so that it can be used to refine user search queries processed by a conventional search. Another key Semantic Deep Web process is Deep Web service annotation, in which Deep Web services are annotated with Deep Web data semantics so that they can be searched by a Semantic Web search engine. It is simpler from a semantic perspective to obtain ontologies from Deep Web data sources, especially well-structured relational back-end databases, than from unstructured natural-language text documents. Activities Geller lists as necessary for fusing Semantic Web and Deep Web technologies together include the development of ontology-aware, high-quality Web search engines; construction of large ontologies from Deep Web sites, beginning with all e-commerce subdomains; achieving acceptance of an “open source attitude” in the e-commerce space to simplify the building of Deep Web ontologies by accessing securely locked data sources; creation of libraries of semantic crawlers designed to extract back-end database information; and assembly of comprehensive index structures for Deep Web sites.