The following operators can be used to better focus your queries.
( ) , AND, OR, NOT, W/#
? single char wildcard, not at start
* multi char wildcard, not at start
(Cat? OR feline) AND NOT dog?
Cat? W/5 behavior
(Cat? OR feline) AND traits
Cat AND charact*
This guide provides a more detailed description of the syntax that is supported along with examples.
This search box also supports the look-up of an IP.com Digital Signature (also referred to as Fingerprint); enter the 72-, 48-, or 32-character code to retrieve details of the associated file or submission.
Concept Search - What can I type?
For a concept search, you can enter phrases, sentences, or full paragraphs in English. For example, copy and paste the abstract of a patent application or paragraphs from an article.
Concept search eliminates the need for complex Boolean syntax to inform retrieval. Our Semantic Gist engine uses advanced cognitive semantic analysis to extract the meaning of data. This reduces the chances of missing valuable information, that may result from traditional keyword searching.
A program is disclosed that enables seamless access to
human-made knowledge in document retrieval systems for easy utilization of
experts' knowledge in document retrieval.
English (United States)
This text was extracted from a PDF file.
At least one non-text object (such as an image or picture) has been suppressed.
This is the abbreviated version, containing approximately
70% of the total text.
Page 1 of 2
Smart Documents in Document Retrieval Systems
A program is disclosed that enables seamless access to knowledge made by experts in document retrieval systems. Pieces of knowledge are written in a form of "smart documents," which are documents for human reading and also can be handled by programs.
A smart document consists of items, which include a title, description, search conditions for related documents, and invocation for other services. In addition to these kinds of information, keywords for a smart document can be specified for keyword indexing for document retrieval systems. Using these keywords, smart documents can be accessed as the same as normal documents for users by specifying queries.
Fig. 1 shows the system configuration.
In browsing a smart document, the current search context are taken into consideration to visualize the content of the smart document. A search context includes a history of queries which user specified, and the current set of documents. If queries are specified for items in a smart document, their queries are executed for the current document set of the search engines, and presentation changes depending its frequencies. For example, frequencies for each item are showed beside items, or if there are no documents for the specified query, then the item will not showed. In addition, results from a mining engine, or invocation to other services can be included in the same way, depending on the current search context.