Semantic search system and method

• US 20040098250A1
• Filed: 11/19/2002
• Published: 05/20/2004
• Est. Priority Date: 11/19/2002
• Status: Abandoned Application

• Current Assignee: Gur Kimchi, Meyrav Kimchi
• Original Assignee: Gur Kimchi, Meyrav Kimchi
• Inventors: Kimchi, Gur, Kimchi, Meyrav
• Application Number:
  US10/299,153
• Publication Number:
  US 20040098250A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 16/36 Creation of semantic tools, e.g. ontology or thesauri

Abstract

A system and method is described for the effective implementation of a search method using a semantic-space. Said system comprising primarily of a semantic-model, training phase using reliable information, and a semantic-space search method. The system and method described enable contextual search with improved properties over non-semantic methods.

Claims

1. A system and method of searching comprising the following steps:

creating a network semantic model;

adding additional information to the model from text sources; and

performing semantic-space search operations on said model;

2. A system and method of searching comprising the following steps:

creating a network semantic model;

training the model with initial information;

adding additional information to the model from text sources; and

performing semantic-space search operations on said model;

3. A system and method of searching comprising the following steps:

creating a network semantic model;

adding additional information to the model from text sources;

accepting search requests, compiling said search request into a semantic-map; and

performing semantic-space search operation on said model using said compiled search requests;

4. A system and method of searching comprising the following steps:

creating a network semantic model;

training the model with initial information;

adding additional information to the model from text sources;

accepting search requests, compiling said search request into a semantic-map; and

performing semantic-space search operations on said model using said compiled search requests;

5. A method for improving search engines by:

training said search engine with controlled information; and

using a reliability ranking system.

6. A system and method of searching comprising the following:

a semantic model;

a method for retrieving information from a given information space (such as the internet);

a method for converting said information into semantic-form;

a method for accepting search requests;

a method for converting said search requests into semantic-form; and

a method for comparing the semantic form of the search requests to the semantic-model and returning matching information in order of relevance.

7. A System and method of searching comprising the following:

a semantic model;

a training phase using reliable information;

a method for retrieving information from a given information space (such as the internet);

a method for converting said information into semantic-form;

a method for accepting search requests;

a method for converting said search requests into semantic-form; and

a method for comparing the semantic form of the search requests to the semantic-model and returning matching information in order of relevance.