ＴＯＰ−Ｋ処理を活用した意味の充実

Japanese Patent JP5894149

B2

Proper representation of the meaning of texts is crucial to enhancing many data mining and information retrieval tasks, including clustering, computing semantic relatedness between texts, and searching. Representing of texts in the concept-space derived from Wikipedia has received growing attention recently, due to its comprehensiveness and expertise. This concept-based representation is capable of extracting semantic relatedness between texts that cannot be deduced with the bag of words model. A key obstacle, however, for using Wikipedia as a semantic interpreter is that the sheer size of the concepts derived from Wikipedia makes it hard to efficiently map texts into concept-space. An efficient algorithm is proved which is able to represent the meaning of a text by using the concepts that best match it. In particular, this approach first computes the approximate top- concepts that are most relevant to the given text. These concepts are then leverage to represent the meaning of the given text.

WO/2012/125950	SYSTEMS AND METHODS FOR CREATING STANDARDIZED STREET ADDRESSES FROM RAW ADDRESS DATA
WO/2012/155012	DYNAMIC IMAGE DISPLAY AREA AND IMAGE DISPLAY WITHIN WEB SEARCH RESULTS

Kim Jung Wook
Ashwin S. Kashup
Lee Big
Sandilla Bamidi Patty
Ban Kim A. Patel
Abinas Sridal
Thorlab Mercer

JP2013513358A

March 23, 2016

June 03, 2011

Click for automatic bibliography generation  

Thomson Licensing

G06F17/30

US6847966

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