Saving a query and its results Sample Clauses

Saving a query and its results. At any time when browsing the result list of a query (either a simple search or an advanced search), the user can hit the save button. At a save request, the GUI software displays a text box requesting the user to provide some mandatory information that will be used as a “title” and will become the “human” identifier of the saved query and its results. It displays also a text box for an optional “description”.
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Saving a query and its results. When a user hits the save button when looking at a result page, the EAGLE Portal will save the information described below. In the present release the “query type” of the data saved at the EAGLE Portal will always be “string”. In the next release of the portal it is planned to support also a “query by example” function, where the user can provide a picture as the query and take advantage of the Image Recognition functionality already used by the Mobile Application.  The User-ID  The type of query (string or image query)  The string entered in the query box OR the image provided as an example (in Release 2)  The page number the user was looking at when hitting the save button  Up to 10 pages of results, at present 5 pages before and 5 after the actual page that the user was looking at when hitting the save button  The number of saved pages  The provided annotations (“title” and “description”)  The date when the query was saved To perform the saving, the GUI software issues (in the background) N calls to the Aggregator to retrieve the N pages of the result of the query that are to be saved, and stores all the information in its internal data structure. Internally, the data for a saved query are stored in a table of a Relational Data Base. The fields of the table (in MySQL notation) are the following.  `query_id` int(11) ====> an internal unique ID, generated by the system (the table primary key)  `user_id` int(11) ====> the ID of the (logged-in) user requesting the save  `query_type` varchar(6) ====> it can have only three values to indicate the content of the query field o Type1 = the query is the string entered in the query box o Type2 = the query is an image provided as an example o Type3 = the query is a picture taken by the mobile user  `query` text ====> the query made by the user OR the URL to an image  `page_number` smallint(5) ====> the number of the page that the user was looking at when requesting the save of the query  `tot_page_saved` tinyint(3) ====> the total number of pages saved  `title` varchar(80) ====> is the mandatory “human ID” entered by the user  `comment` text ====> the optional description entered by the user  `resource` longtext ====> all the saved pages in Json format, following the XML structure returned by the Aggregator (see Section 5); for Type 3 is empty (no query was sent to the EAGLE server)  'data' datetime ====> the date when the query was saved by the user
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Related to Saving a query and its results

  • Justification and Anticipated Results The Privacy Act requires that each matching agreement specify the justification for the program and the anticipated results, including a specific estimate of any savings. 5 U.S.C. § 552a(o)(1)(B).

  • Expected Results VA’s agreement with DoD to provide educational assistance is a statutory requirement of Chapter 1606, Title 10, U.S.C., Chapter 1607, Title 10, U.S.C., Chapter 30, Title 38, U.S.C. and Chapter 33, Title 38, U.S.C (Post-9/11 GI Xxxx). These laws require VA to make payments to eligible veterans, service members, guard, reservist, and family members under the transfer of entitlement provisions. The responsibility of determining basic eligibility for Chapter 1606 is placed on the DoD. The responsibility of determining basic eligibility for Chapter 30 and Chapter 33 is placed on VA, while the responsibility of providing initial eligibility data for Chapter 30 and Chapter 33 is placed on DoD. Thus, the two agencies must exchange data to ensure that VA makes payments only to those who are eligible for a program. Without an exchange of enrollment and eligibility data, VA would not be able to establish or verify applicant and recipient eligibility for the programs. Subject to the due process requirements, set forth in Article VII.B.1., 38 U.S.C. §3684A, VA may suspend, terminate, or make a final denial of any financial assistance on the basis of data produced by a computer matching program with DoD. To minimize administrative costs of implementation of the law and to maximize the service to the veteran or service member, a system of data exchanges and subsequent computer matching programs was developed. The purposes of the computer matching programs are to minimize the costs of administering the Xxxxxxxxxx GI Xxxx — Active Duty, the Xxxxxxxxxx GI Xxxx — Selected Reserve, Reserve Educational Assistance Program, and the Post-9/11 GI Xxxx program; facilitate accurate payment to eligible veterans or service members training under the Chapter of the Xxxxxxxxxx GI Xxxx — Active Duty, the Xxxxxxxxxx GI Xxxx — Selected Reserve, Reserve Educational Assistance Program, and the Post-9/11 GI Xxxx program; and to avoid payment to those who lose eligibility. The current automated systems, both at VA and DoD, have been developed over the last twenty-two years. The systems were specifically designed to utilize computer matching in transferring enrollment and eligibility data to facilitate accurate payments and avoid incorrect payments. The source agency, DMDC, stores eligibility data on its computer based system of record. The cost of providing this data to VA electronically are minimal when compared to the cost DMDC would incur if the data were forwarded to VA in a hard-copy manner. By comparing records electronically, VA avoids the personnel costs of inputting data manually as well as the storage costs of the DMDC documents. This results in a VA estimated annual savings of $26,724,091 to VA in mailing and data entry costs. DoD reported an estimated annual savings of $12,350,000. A cost-benefit analysis is at Attachment 1. In the 32 years since the inception of the Chapter 30 program, the cost savings of using computer matching to administer the benefit payments for these educational assistance programs have remained significant. The implementation of Chapter 33 has impacted the Chapter 30 program over the past 8 years (fiscal year 2010 through fiscal year 2017). Statistics show a decrease of 23 percent in the number of persons who ultimately use Chapter 30 from fiscal year 2015 to 2016. The number of persons who use Chapter 33 has consistently been above 700,000 in the past four years. VA foresees continued cost savings due to the number of persons eligible for the education programs.‌

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