Douglass R Judd

US Patent:

6442606, Aug 27, 2002

Filed:

Aug 12, 1999

Appl. No.:

09/374315

Inventors:

Ram Subbaroyan - San Francisco CA
Yongdong Wang - Alamo CA
Paul Andre Gauthier - San Francisco CA
Douglas Michael Cook - San Francisco CA
Douglass Russell Judd - San Jose CA

Assignee:

Inktomi Corporation - Foster City CA

International Classification:

G06F 1300

US Classification:

709224, 709217

Abstract:

A method and apparatus are provided for indexing electronic documents that include one or more visible text portions and one or more non-visible text portions. The method includes the step of identifying an electronic document. Once the electronic document is identified, a set of words is selected from a particular tag type that is associated with one or more non-visible text portions of the electronic document. Each word in the selected set of words is compared with words in the one or more visible text portions of the electronic document. An index word set is then determined for the electronic document based on matches between words in the selected set of words and words in the one or more visible text portions of the electronic document.

US Patent:

20040039734, Feb 26, 2004

Filed:

May 14, 2003

Appl. No.:

10/439339

Inventors:

Douglass Judd - Burlingame CA, US
Ram Subbaroyan - San Francisco CA, US
Bruce Karsh - Half Moon Bay CA, US

International Classification:

G06F007/00

US Classification:

707/003000

Abstract:

A document section sensitive relevance ranking system for ranking the results of a free-text search as part of a document indexing and document query system is disclosed. The system has a document indexer that accepts structured, semi-structured, or unstructured documents and creates an easily searchable index of the documents. Then, a document query system receives free-text queries, executes the query against the document index, and creates a list of result documents. The configurable relevance ranking system then ranks the individual documents in the document result list into an order of estimated relevance.

US Patent:

20040044659, Mar 4, 2004

Filed:

May 14, 2003

Appl. No.:

10/439338

Inventors:

Douglass Russell Judd - Burlingame CA, US
Bruce Karsh - Half Moon Bay CA, US
Ram Subbaroyan - San Francisco CA, US
Troy Toman - San Carlos CA, US
Rahul Lahiri - Belmont CA, US
Patrick Lok - Foster City CA, US

International Classification:

G06F007/00

US Classification:

707/003000

Abstract:

A search and retrieval permits a user to search free text within sections of schema independent documents. The documents, which may include structured, semi-structured, and unstructured documents, contain text organized into a plurality of sections, such as XML tags. The repository of documents is schema independent, such that the search system does not require pre-defined fields for the sections. To execute a search, the search system receives a query that specifies at least one section and at least one free text query construct for text within the section. In general, the free text query construct specifies at least one free text search condition. The search system identifies sections in the repository of documents as specified in the query, and evaluates the free text query construct for the text within sections to determine whether the free text search condition is met.

US Patent:

6360215, Mar 19, 2002

Filed:

Nov 3, 1998

Appl. No.:

09/186058

Inventors:

Douglass R. Judd - San Jose CA
Paul Gauthier - San Mateo CA
J. Eric Baldeschwieler - San Francisco CA

Assignee:

Inktomi Corporation - Foster City CA

International Classification:

G06F 700

US Classification:

707 3, 707 4, 707 7, 707 9, 707 10, 707501, 707513, 709202, 382190

Abstract:

A method and apparatus are provided for retrieving documents from a collection of documents based on information other than the contents of a desired document. The collection of documents, which may be a hypertext system or documents available via the World Wide Web, is indexed. In one embodiment, an indexing process of a search engine receives one or more specifications that identify documents, or document locations, and non-content information such as a tag word or code word. The indexing process searches the index to identify all documents in the index that match one or more of the specifications. If a match is found, the tag word is added to the index, and information about the matching document is stored in the index in association with the tag word. A search query is submitted to the search engine. The search query is automatically modified to add a reference to the tag word, such as a query term that will exclude any index entry for a document associated with the tag word.