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Searching device and searching method

An information retrieval and location information technology, applied in structured data retrieval, digital data information retrieval, instruments, etc., can solve problems such as inability to achieve effective retrieval by voice recognition, no documented solution, and vague memory of user retrieval objects and retrieval terms.

Inactive Publication Date: 2012-11-14
FUJITSU LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, with regard to search objects obtained by searching in the past, the user may wish to obtain the search objects again in the future
However, due to the passage of time, the user's memory of search objects and search words is blurred. Therefore, there is a problem that effective search using voice recognition cannot be realized for such past search objects.
In addition, Japanese Patent Application Laid-Open No. 2006-349427 does not describe a corresponding solution at all.

Method used

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  • Searching device and searching method
  • Searching device and searching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach 1

[0058] figure 1 It is an explanatory diagram showing the outline of the information retrieval system. In the present embodiment, facility information such as stations, sightseeing spots, stadiums, restaurants, houses, hotels, department stores, etc. that can be retrieved by searching with mobile phones, car navigation devices, etc., is taken as an example. Be explained.

[0059] For the search devices 1, 1, 1..., for example, a navigation device mounted on a mobile body such as a vehicle, ship, or motorcycle, a portable navigation device detachable from a vehicle, or a portable terminal can be used. As the portable terminal, a notebook personal computer, a mobile phone, a game machine, a PDA (Personal Digital Assistant), a smart phone, a music player, and the like can be used. When the search device 1 is a mobile phone or the like, route search or the like may be executed through cooperative processing with a server computer 2 connected via a communication network N includin...

Embodiment approach 2

[0097] Embodiment 2 relates to processing when a plurality of extraction results are obtained. Figure 13 It is an explanatory diagram showing the record format of the dictionary DB 157 according to the second embodiment. Figure 13 The example of the example shows the following example: on July 1, the noodle restaurant of store A is searched, on July 2, the pasta restaurant of store E is searched, and on July 7, the noodle restaurant of store A described in Embodiment 1 is searched. In the record shown by the search ID "0701001", the elapsed information is last week and this month, so, in the dictionary DB 157, the dates of unit ID 104 (last week) and unit ID 105 (this month) are stored after the change process Unit 100.

[0098] Regarding search ID "0702005", similar to search ID "0701001", the elapsed information is last week and this month, so in dictionary DB 157, storage unit ID 104 (last week) and unit ID 105 (this month) ) in the date unit 100. Although shop E is a ...

Embodiment approach 3

[0103] Embodiment 3 relates to a system in which the passage information is expanded. For example, when searching for noodle restaurants at the beginning of the year and searching by voice recognition half a year later, since the past information is "this year", it is necessary to input "noodle restaurants visited this year". However, the memory is fuzzy and sometimes mistaken for the end of last year. In this embodiment, the progress information is extended by referring to the associated file. For example, "last year", which is a different date-related sentence, is used as expanded progress information. Thereby, it is possible to search for A shop even for "noodle shop visited last year". Details are given below.

[0104] Figure 16 It is a block diagram showing a hardware group of the car navigation device 1 according to the third embodiment. In addition to the configuration of the first embodiment, a related file 1510 is stored in the storage unit 15 . Figure 17 is a...

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Abstract

A searching device includes a history storing unit storing a search target obtained by a search and a search date in a storage unit; a relevancy storing unit storing in the storage unit a previous searching keyword including a plurality of date-related words as well as the search target and an attribute of the search target in association with one another; a change unit changing the previous searching keyword, based on the search date stored in the storage unit and a date output from a clock unit; a reception unit receiving a previous searching keyword and the search target or attribute that are entered by voice; and an extraction unit extracting a search target corresponding to the previous searching keyword and the search target or attribute received by the reception unit, by referring to the previous searching keyword that is obtained after changing, the search target and the attribute.

Description

technical field [0001] The present invention relates to a retrieval device and retrieval method for information retrieval. Background technique [0002] In recent years, information retrieval processing technologies using mobile phones, car navigation devices, personal computers, or Web server computers have become widespread among a large amount of information. When searching, a search term is input using a keyboard or the like, or a search term is input by voice. When a search term is input by voice, voice recognition processing is performed. The accuracy of voice recognition processing technology is improving year by year, but the recognition rate is low, and there are still problems of poor usability. In order to solve this problem, the vehicle-mounted voice recognition device described in Japanese Patent Application Laid-Open No. 2006-349427 discloses a technique of storing the driving history of the vehicle for each driver, and generating a voice recognition system c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G10L15/00
CPCG06F17/30241G01C21/36G06F16/29
Inventor 鹫尾信之
Owner FUJITSU LTD