Semantic Search Engines
Semantic Web search engines are not like the traditional search engines that have been on the internet. Instead of going through the internet to find web pages Semantic is an index RDF data storage website. Basically it stores the data on the web and then provides an interface with the search that will search for data. There are a few different semantic search engines that are currently under development.
First you have Semantic Web Search Engine that has been designed to provide an equivalent to the search engines provided on the HTML web. The system is going to go through various indexes and allow for an easy to use interface in which a user will be able to find what they want with ease. The Semantic program provides more web languages, search and information retrieval, as well as a more powerful search engine.
Sindice is another engine under development. It is going to look up index for the Semantic web documents. It is using information built on cluster computing techniques. In other words it will be able to tell you, which source the information came from like URI, IFP or even keyword. There are over 20 million documents at the moment.
Watson allows you to look through ontologies and semantic documents. To do this you will use keywords. So if you enter cat you are actually surfing for a list of URI’s that will match the keyword search you have just made. There are also going to be things to indentify the information such as classes, properties or individuals. The point of this program is to be able to use misspelled words to actually get the right results.
Yahoo Microsearch is another aspect of Semantic web search. They are trying to provide a better service by combining the traditional search methods with metadata from web pages. This means formats such as RDF, RDFa, and microformats are being searched for to help you as the user get the information you need when you need it. GRDDl is also going to be added very soon.
Falcons is a keyword search engine for Semantic. It is going to have all of the browsing capabilities that you would need including URI’s, concepts, and summarization. Swoogle allows for ontologies as well with about 10,000, and 2.3 million RDF documents that have been indexed. Swoogle will have a keyword index to help the search move smoothly and be as helpful as possible.
Zitgist search is another area that is being developed. It simplifying the semantic data web query with a better model for user friendly searches. The user is not going to need relevant characterisitics during a search to find what they are really looking for. The search results will have the information and knowledge the person requires in an easier to understand format. With the new technology we are soon to have something that will allow us to find what we need in a timely manner. While they are still working on the launch at least you know the technology is coming.





