DYNAMIC CONTENT ORGANIZATION IN INFORMATION RETRIEVAL SYSTEMS

Patent №

US 6,236,987

Granted

2001-05-22

Filed 1998

Owner

PERSPECTA, INC.

Lab

AI components

4

nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09054753

An information system and method provide organizational and navigational aids to a user to facilitate exploration and analysis of a document collection. The system includes a document collection containing a plurality of documents, and a knowledge base containing a plurality of topics. Each topic expresses an idea or concept, and is associated with a set of terms which describe the topic, a set of documents in the document collection which are about the topic. Each topic also has topic-subtopic relationships with selected other topics, forming local topic hierarchies. A query analysis module receives a current query and processes the query against the document collection to select a set of documents that satisfy the query. A dynamic content organization module processes the document set according to defined parameters and a user selection or automatic selection of a desired topic arrangement to create various types of topic arrangements. These topic arrangements include supertopics, subtopics, perspective topic, and theme topic arrangements. A supertopic arrangement is a set of parent topics of a topic derived from the query, which parent topics best generalize the document set. A subtopic arrangement is a set of subtopics of a topic derived from the query which best cover and partition the document set. A perspective topic arrangement has perspective topics, each of is a parent topic of a set of subtopics that cover and partition the document set. A theme topic arrangement has theme topics, each of which expresses a major subject or concept that describes the document set and distinguishes it from the rest of the document collection.

Natural languageKnowledge representationPlanningAI hardwareG06Q 40/00G06F 16/338G06F 16/355G06F 16/951Y10S 707/99932Y10S 707/99933Y10S 707/99934Y10S 707/99935

AI classification

Natural language1.00
Planning1.00
Knowledge representation1.00
AI hardware0.98
Machine learning0.19
Vision0.11
Speech0.03
Evolutionary computation0.00

Ownership

PERSPECTA, INC.

assignment · 238610802

Assignors

HOROWITZ, DAMON, SHEFNER, DAVID B.

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC