Method and system for discovering knowledge from text...

Details Method and system for discovering knowledge from text... Method and system for discovering knowledge from text...

2002-10-24

2010-06-08

Vincent, David R (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

C706S016000, C706S020000

Reexamination Certificate

active

07734556

ABSTRACT:
A method and a system for discovering knowledge from text documents are disclosed, which involve extracting from text documents semi-structured meta-data, wherein the semi-structured meta-data includes a plurality of entities and a plurality of relations between the entities; identifying from the semi-structured meta-data a plurality of key entities and a corresponding plurality of key relations; deriving from a domain knowledge base a plurality of attributes relating to each of the plurality of entities relating to one of the plurality of key entities for forming a plurality of pairs of key entity and a plurality of attributes related thereto; formulating a plurality of patterns, each of the plurality of patterns relating to one of the plurality of pairs of key entity and a plurality of attributes related thereto; analyzing the plurality of patterns using an associative discoverer; and interpreting the output of the associative discoverer for discovering knowledge.

REFERENCES:
patent: 5297039 (1994-03-01), Kanaegami et al.
patent: 5881187 (1999-03-01), Modavis
patent: 5905505 (1999-05-01), Lesk
patent: 6044375 (2000-03-01), Shmueli et al.
patent: 6208735 (2001-03-01), Cox et al.
patent: 6209103 (2001-03-01), Schreiber et al.
patent: 2002-99565 (2002-05-01), None
patent: WO 99-34307 (1999-07-01), None
He et al., Ji, “Machine Learning Methods for Chinses Web Page Categorization”, Proceeding of the Second Workshop on Chinese Language Processing, pp. 93-100, 2000.
Tan et al., Ah-Hwee, “Learning User Profiles for Personalized Information Dissemination”, IEEE, pp. 183-188, May 1998.
Ah-Hwee Tan, “Predictive Self-Organing Networks for Text Categorization”, PAKDD, pp. 66-77, Apr. 18, 2001.
Rajaraman et al., Kanagasabi, “Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks”, PAKDD, pp. 102-107, Apr. 18, 2001.
Ah-Hwee Tan, “Predictive Self-Organizing Networks for Text Categorization”, PAKDD, pp. 66-77, Apr. 18, 2001.
Agency for Science, Technology and Research, International Search Report mailed Dec. 28, 2005 for International Application No. PCT/SG 2002/000249 (3 p.).

Affiliated with

Also associated with

Rating

Method and system for discovering knowledge from text... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and system for discovering knowledge from text..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for discovering knowledge from text... will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4243204