SYSTEM AND METHOD FOR INTELLIGENT ONTOLOGY BASED KNOWLEDGE SEARCH ENGINE

• US 20080270384A1
• Filed: 11/19/2007
• Published: 10/30/2008
• Est. Priority Date: 04/28/2007
• Status: Abandoned Application

• Current Assignee: Raymond Lee Shu Tak
• Original Assignee: Raymond Lee Shu Tak
• Inventors: TAK, RAYMOND LEE SHU
• Application Number:
  US11/942,408
• Publication Number:
  US 20080270384A1
• Time in Patent Office: Days
• US Class Current: 707/5
• CPC Class Codes: G06F 16/367 Ontology

Abstract

The present invention relates to a system and method for intelligent ontology based knowledge search engine (IATOPIA KnowledgeSeeker). Said IATOPIA KnowledgeSeeker, is an intelligent ontology-based system that is designed to help Web users to find, retrieve, and analyze any Web information such as news articles from the Internet and then present the content in a semantic web. We present the benefits of using ontologies to analyze the semantics of Chinese text, and also the advantages of using a semantic web to organize information semantically. IATOPIA KnowledgeSeeker also demonstrates the advantages of using ontologies to identify topics. We use a Chinese document corpus to evaluate IATOPIA KnowledgeSeeker and the testing result was compared to other approaches. It was found that the accuracy of identifying the topics of Chinese web articles is over 87%. It demonstrated a fast processing speed of less than one second per article. It also organizes content flexibly and understands knowledge accurately, unlike traditional text classification systems used in popular search engines today such as Google and Yahoo.

Claims

1. A system for an intelligent ontology based knowledge search engine, wherein said system comprises:

an ontology module for analyzing and annotating Web articles;

an intelligent features module for processing information from the Internet using an intelligent features process; and

a semantic web module for adding machine readable data into web content.

2. A system according to claim 1, wherein said ontology module comprises:

article ontology including article data and semantic data, annotated to express in a machine understandable format semantic content of a Web article;

topic ontology defined to model the area of topic in hierarchical relations and to identify the topic of said article; and

lexical ontology for analyzing Chinese text articles and understanding semantics in Chinese natural language text in HowNet.

3. A system according to claim 2, wherein said ontology module further comprises:

a feature selection module for processing of selecting appropriate sememes that can typically represent a topic class that is defined in said topic ontology;

a feature vectors process module for mapping topic entry to sememe;

a feature weighting module using a features vector creation algorithm incorporating sememe weighting and vectors for all topic classes obtained.

4. A system according to claim 1, wherein said intelligent features module comprises:

an Info-Retrieval Module for connecting to the internet to retrieve web pages to obtain useful articles as sources of information;

an Info-Analysis Process Module for analyzing and understanding the semantic content of articles collected from web sites;

an Info-Annotation Process Module for annotating the information content into a semantic ontology based format such as RDF;

an Info-Recommendation Process Module for providing articles that might be relevant or of interest to users based on personalized content and similar-content recommendations which recommends news articles with similar content to users.

5. A system to claim 4, wherein said Info-Analysis Process Module comprises:

a Textual Analysis Module for text segmentation and using a matching algorithm to match the longest word possible;

a Sememe Extraction Module for extracting a list of related sememes from a “

word”

in a Web article;

an Entity Ontology Matching Module for sememe matching and mapping onto an abstract concept;

a Sememe Weighting Module for weighting sememes according to its count in the text of said Web article; and

a Topic Identification Module for finding a set of topics to which said article is related.

6. A system according to claim 1, including:

IATo News for providing a fully automatic, ontology-based, personalized RSS-based news reading platform.

7. A system according to claim 2, including:

IATo News for providing a fully automatic, ontology-based, personalized RSS-based news reading platform.

8. A system according to claim 3, including:

IATo News for providing a fully automatic, ontology-based, personalized RSS-based news reading platform.

9. A system according to claim 4, including:

IATo News for providing a fully automatic, ontology-based, personalized RSS-based news reading platform.

10. A system according to claim 5, including:

IATo News for providing a fully automatic, ontology-based, personalized RSS-based news reading platform.

11. A system according to claim 6, wherein said IATo News comprises:

an ontology concept tree, containing over 20000 Chinese concepts and knowledge, which is provided to said IATo News to use;

a 5-D KnowledgeWheel for providing a 5-dimensional knowledge seeking functionality with respect to People, Organization, Event, Thing, and Place;

a Multi-Level Article Analyzer for providing links for users to further their search of related articles according to news article sub-categories; and

a Personalized IATo News process module for providing an article search and reading platform that allow users to personalize their IATo News reading and search platform in two perspectives comprising a Personalized News Categorization Scheme and a Preferred News and Automatic Categorization Scheme.

12. A system according to claim 7, wherein said IATo News comprises:

an ontology concept tree, containing over 20000 Chinese concepts and knowledge, which is provided to said IATo News to use;

a 5-D KnowledgeWheel for providing a 5-dimensional knowledge seeking functionality with respect to People, Organization, Event, Thing, and Place;

a Multi-Level Article Analyzer for providing links for users to further their search of related articles according to news article sub-categories; and

a Personalized IATo News process module for providing an article search and reading platform that allow users to personalize their IATo News reading and search platform in two perspectives comprising a Personalized News Categorization Scheme and a Preferred News and Automatic Categorization Scheme.

13. A system according to claim 8, wherein said IATo News comprises:

an ontology concept tree, containing over 20000 Chinese concepts and knowledge, which is provided to said IATo News to use;

a 5-D KnowledgeWheel for providing a 5-dimensional knowledge seeking functionality with respect to People, Organization, Event, Thing, and Place;

a Multi-Level Article Analyzer for providing links for users to further their search of related articles according to news article sub-categories; and

a Personalized IATo News process module for providing an article search and reading platform that allow users to personalize their IATo News reading and search platform in two perspectives comprising a Personalized News Categorization Scheme and a Preferred News and Automatic Categorization Scheme.

14. A system according to claim 9, wherein said IATo News comprises:

an ontology concept tree, containing over 20000 Chinese concepts and knowledge, which is provided to said IATo News to use;

a 5-D KnowledgeWheel for providing a 5-dimensional knowledge seeking functionality with respect to People, Organization, Event, Thing, and Place;

a Multi-Level Article Analyzer for providing links for users to further their search of related articles according to news article sub-categories; and

a Personalized IATo News process module for providing an article search and reading platform that allow users to personalize their IATo News reading and search platform in two perspectives comprising a Personalized News Categorization Scheme and a Preferred News and Automatic Categorization Scheme.

15. A system according to claim 10, wherein said IATo News comprises:

an ontology concept tree, containing over 20000 Chinese concepts and knowledge, which is provided to said IATo News to use;

a 5-D KnowledgeWheel for providing a 5-dimensional knowledge seeking functionality with respect to People, Organization, Event, Thing, and Place;

a Multi-Level Article Analyzer for providing links for users to further their search of related articles according to news article sub-categories; and

a Personalized IATo News process module for providing an article search and reading platform that allow users to personalize their IATo News reading and search platform in two perspectives comprising a Personalized News Categorization Scheme and a Preferred News and Automatic Categorization Scheme.

16. A method for an intelligent ontology based knowledge search engine, comprising the steps of:

a) using an IATOPIA KnowledgeSeeker to obtain web source in HTML, and then to extract semantic content from said HTML; and

b) using said IATOPIA KnowledgeSeeker to analyze said semantic content by using ontologies knowledge to retrieve text semantics which is then annotated in RDF, and presented to users through a web interface.

17. A method according to claim 16, wherein said step b) comprises:

a sub-step of Info-Retrieval Process;

a sub-step of Info-Analysis Process;

a sub-step of Info-Annotation Process; and

a sub-step of Info-Recommendation Process.