Documents:

• Inter-Document Data Retrieval (TXT Version)
• Ontology Review (PDF Version, TXT Version)
• Publications by Dr. Netzer Moriya

During the last decades the importance of information as well as the amount of information has dramatically increased. A typical Internet search engine can access more than 10⁹ web pages. The rapid development of telecommunications and computers technology enables millions of people to search for information using a variety of client devices.

In view of the vast amount of information various search engines, data mining techniques and data retrieval methods were developed. They are aimed to locate relevant documents out of a large document database. Common search methods include keyword-based methods, vector-based methods and the like.

The following U.S. patents, all being incorporated herein by reference, provide a brief view of some state of the art search methods and devices as well of some state of the art data retrieval methods and devices: U.S patent 6523026 of Gillis, U.S. patent 6681219 of Aref, U.S. patent 6721728 of McGreevy, U.S. patent 6718324 of Edlund et al., U.S. patent 6681217 of Lewak, U.S. patent 6151610 of Senn et al., U.S. patent 6026388 of Liddy et al. U.S. patent 6012083 of Savitzky et al., U.S. patent 6006221 of Liddy et al., U.S. patent 5963940 of Liddy et al., U.S. patent 5412807 of Moreland, U.S. patent 5933145 of Meek, and U.S. patent 5915251 of Burrows et al.

One keyword-based search method is known as keyword proximity search. It allows a client to define a search query that includes two or more keywords and a distance between said keywords. Any document that includes all the keywords positioned within said distance can be provided as a search result.