SYSTEM FOR WEIGHTED INDEXING OF HIERARCHICAL DOCUMENTS

Patent №

US 6,910,029

Granted

2005-06-21

Filed 2000

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

3

ml · nlp · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09510054

Metadata files representing Web document content are parsed in accordance with a specification file, with a specification file being generated for each class of documents, e.g., HTML pages, newsgroup articles, and JAVA programs. Each specification file has the same format, i.e., schema, as a metadata file for the associated document class. Within each specification file, each element in the hierarchy is associated with a weight. When a metadata file is received, both the metadata file and the specification file are walked through top-down to parse data out of the metadata file into an index file in accordance with the weights in the specification file, e.g., a data element having a weight of zero is not written to the index file, an element with a weight of two is written out twice to the index file, and so on. Importantly, the tags in the metadata file are not written out to the index file. The index file is then used by an index engine to build an index, which can then be accessed by a query executor to respond to a user query for Web documents without having to search through an index containing tags and other data that is irrelevant to the search.

Machine learningNatural languageKnowledge representationG06F 16/951Y10S 707/99932Y10S 707/99933Y10S 707/99943

AI classification

Natural language1.00
Machine learning1.00
Knowledge representation1.00
AI hardware0.14
Planning0.00
Evolutionary computation0.00
Speech0.00
Vision0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 106320479

Assignors

SUNDARESAN, NEELAKANTAN

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

From the same owner

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