Tuesday, January 04, 2005

Extracting Structure

Semantic Web vision is missing filters for unstructured data "I'd agree that the TBL's Semantic Web vision is missing filters for unstructured data, but I don't have the solution and I also don't have the answer to Adam's Where Have all the databases gone?"

Semantic Search Technology "As Artificial Intelligence (AI) technologies become more powerful, it is reasonable to ask for better search capabilities which can truly respond to detailed requests. This is the intent of semantic-based search engines and semantic-based search agents. A semantic search engine seeks to find documents that have similar ?concepts? not just similar ?words.? In order for the Web to become a semantic network, it must provide more meaningful meta-data about its content, through the use of Resource Description Framework (RDF - http://www.w3.org/RDF/) and Web Ontology Language (called OWL - http://www.w3.org/2004/OWL/ ) tags which will help to form the Web into a semantic network. In a semantic network, the meaning of content is better represented and logical connections are formed between related information."

"One short term approach is to garner semantic information from existing Web pages using LSI."

1 comment:

Anonymous said...

Here something on one of the earliest commercial semantic search engine: http://www.streamingmediaworld.com/gen/reviews/searchassociation/
(unfortunately the company that made it, now renamed Semagix, has taken on Enterprise focus(rather than pan-Web)
so the system is part of an enterprise software, rather than publically accessible search engine. See: http://www.cs.uic.edu/~ifc/SWDB/keynote-as.html