WO2015040052A1

WO2015040052A1 - User-controlled retrieval engine

Info

Publication number: WO2015040052A1
Application number: PCT/EP2014/069784
Authority: WO
Inventors: Hans-Diedrich Kreft
Original assignee: Shuccle Ag
Priority date: 2013-09-17
Filing date: 2014-09-17
Publication date: 2015-03-26
Also published as: DE102013015355A1

Abstract

The invention relates to a method for a user-controlled retrieval engine.

Description

User-controlled finding machine

Technical-economic area:

The invention relates to devices and methods for user-controlled finding tag data.

State of the art:

Under the designation US 61 / 758,068 is a US Patent Application entitled "METHOD AND SYSTEM OF INTERNET CONNECTED COMPUTERES FOR ORGANIZING GLOBALLY PRESENTED ORIGINAL DATA IN THE WORLD WIDE WEB LOCALLY." (METHOD) AND SYSTEM OF INTERNET-LINKED COMPUTERS TO ORGANIZATION GLOBAL PRESENTED ORIGINAL DATA LOCAL IN THE WORLDWIDE WEB)

in front.

In Germany, various applications have been filed using the terms "complement document" as well as "marker". The German applications have in common with the US application that they add additional information as metadata to original web pages or original data (content, content) that can be called up on the Internet by address. These metadata can be searched for and found on the Internet and, with their links, represent a new level for data exchange on the Internet as a supplement to the previous web with its original data (content). In Germany, the following applications have been made on the topic: am

17.06.2013 with the file number DE 10 2013 010 037.2, am

05.08.2013 with the file number DE 10 2013 012 904.4 and am

21.08.2013 with the file number DE 10 2013 013 740.3.

Task:

It is a task to supplement the conventional, search engine-specific search for data on the Web with user-controlled data retrieval. State of the art:

Search engines have condensed datasets on web pages. These databases are automatically retrieved from the data of web pages by so-called crawlers. The crawlers access web pages and use special software programs to analyze the web pages and to compile certain keywords (data) from them. These keywords or data are stored together with the web address in a so-called repository, a memory on computers at the search engine provider. In this way, a repository aggregates many web addresses into a number of same data (keywords). If a user enters keywords in the search field of a search engine, all of the web addresses stored for this are displayed with the data compiled by machine. Importantly, the data on web pages machine-assembled in the repository would look completely different if people had compiled it for free intellectual analysis of the same web pages.

In the conventional search, the intellectual search term specification of a human data queryer encounters a machine-generated data base of a data provider. As a result, people's intellectually driven data demand often faces an unmanageable amount of machine-generated data. With this principle, the individual, human intelligence is used primarily on the part of the customer. On the part of the provider, they are missing because the search results are not there to influence by human intelligence.

It is an object of the invention to make human intelligence usable for the data supply as well as for the data demand and to bring it into a communicative exchange.

Only with this communicative exchange of human intelligence in searching and finding the data in the Web can be assigned a meaning, since only individual humans know, which meaning they give their data offer and their data demand. For example, if the web page content is In the same cultural context, bidders are described with the same keywords as they would a data queryer, assuming that providers like Demand assign the same meaning to the page content. For the sake of completeness, it should be pointed out that, above all, US companies dominating the Web and the Internet are taking a different approach to assigning meaning to data on the Web. They create individual profiles of people from the human activities on the Internet. The purpose is to select the machine-offered web data for a data query as it corresponds to his individual profile data. Ultimately, the machine supply intelligence meets machine-generated demand intelligence. The humane element that balances supply and demand, which determines the entire market economy, has thus been eliminated. Supply and demand would no longer be balanced on the Web due to human qualities. Similar to election results, it could be deduced from a small amount of data of a limited number of users, which demands the large number of users. It is known that this method fails if the voting behavior of the individual user is to be determined. Since individual users ask for data on the Web, similar indeterminacy can be expected for profile search results.

According to the previous understanding of the market economy, such offers are put on markets (shop windows, catalogs, market stalls, etc.) by people who are supposed to interest the unknown "passing" observer This results in an intellectual balance between human supply and human demand, whereas the Internet, as it has evolved until 2013, controls that at the entrance to the marketplace (the web) there is a machine that profiles the newcomer assigns him and assigns his place in the market according to the profile.

In contrast to this prior art, the user-controlled finding of data on the Web is described here. It is known from the prior art that complete web pages that can be found under an Internet address (an account, a URL), as well as special parts of them with markers (also called tags) can be provided. These markers are assigned special data called metadata.

To claim 1

Claim 1 describes devices and methods for finding marker data in the Web,

1 . where marker data are available as metadata for websites for technical data exchange on a tag computer that can be controlled via the Internet,

2. whereby the marker data can be found by keywords,

3. wherein in a first method step keywords are entered in a browser window via a keyword entry "1" and are sent to query the marker data to the controllable computer,

4. in a second browser window, the marker data returned by the computer are displayed as find result data "5" to which the keywords are assigned,

5. wherein in a second method step an input field "3" opens a new browser window for entering metadata for markers,

6. additionally generating a code which can be used to implement a visually visible marker in original web pages,

7. where a marker window is to be called up for the marker in the original web page, which is to be seen and used like an additional web page independently of the original web page,

8. so that in the repetition of the successive process steps 1, 2 intellectually certain finding results "5" are generated to markers.

Claim 1 describes devices and methods for finding marker data (metadata about web content, content, etc.) as well as tag data (from English tag: tag, tag) on the Web. Marker and tag data are technically known by the present applications and disclosures. They are available on computers that can be controlled on the Internet. The marker data contains additional information such as title, description, keywords to web pages, which are as Metadata about the web pages are to understand. The marker data can be found on the internet computers (servers) via their keywords. Markers are to be implemented as visible icons in web pages and show the user in floating windows data that has been set to them. In this sense, markers in web pages display calls to display independent web pages in addition to the web page containing markers.

In a first step, keywords are entered in a browser window by input field "1" and sent in a known manner via Internet techniques to a prepared tag server. The tag server is a common server (computer) specially designed for the management of tag data (marker data, metadata). There the marker data matching the keywords will be found. The marker data found are sent back to the requesting computer and displayed there in the browser window (field B, display "5").

In the second method step, data for markers are changed or entered again via an input field "3" in a browser window. At the same time, the tag calculator generates the marker code, which is to be implemented in original web pages and displays the marking of the web page by means of a graphic. By means of the cursor action, a marker window can be called up via the graphic that can be used like a web page to be designed independently of the original website. The management of this marker window is done via means and methods of the tag server. With the repetition of the method steps 1, 2 marker data are created, which correspond to certain intellectual requirements. Since marker data is to be created specifically for web pages, the marker data provider determines which marker data (also metadata) are found to web pages. If the user of the method steps additionally has data such as frequencies of page views available, a human-specific adaptation to the demand behavior for the data offered can also be taken into account. The marker data is provided with time stamps, which makes the data queryer see the timeliness of the changed data. The procedural steps yield data offers (metadata) for websites that were not created by machines. The object according to the invention that does not oppose machine intelligence in the data offering of human demand intelligence is solved. Search engine methods can be used in addition to the described finding methods. By saving the time-consuming crawl operations, commercial advantages of the described finding process compared to conventional search processes result.

To claim 2

Claim 2 uses marker data according to claim 1,

In the second method step, the results of search engines are queried and displayed on the available keywords via an action field "6." In a second method step, the results of search engines for the keywords with which marker data were previously queried are queried via an action field "6" , Thus, the search engine search results are immediately available for comparison to the finder results of marker data. It is possible for human intelligence to make large or small differences in meaning between finding machine and search engine results.

To claim 3

With claim 3 markers are used according to claim 1 so

1 . that an advertising field C is designed in addition to the marker data,

2. which is displayed in the result of the search matching the marker data.

The display of the search result data known from claim 1 can be supplemented by an area C for displaying advertising. The adjuster of marker data determines which advertisement appears there.

To claim 4

Claim 4, markers are used according to claim 1, so

that the data entered for them in the day calculator should also be queried by search engines. Conventional search engines (also metasearch engines) can send their search terms to the tag calculator. From there, they receive the data stored for this purpose in their search results. This ensures that current data on web pages are also present in conventional search engine results. Usually there are only crawled data with the technically given time delay. The effort to display the tag data is low because it is a simple data exchange between search engine and tag computer.

To claim 5

Claim 5 is used in claim 1

1 . that the software present on the tag computer is also available on additional computers,

2. whereby the computers can exchange their tag data with one another for a variety of purposes and thus communicate with one another in a network,

3. What the original content data for web pages on their original servers are and do not leave the server.

Claim 5 discloses the software known from claim 1 for managing the tag data on additional servers. These can exchange data with each other, so that a key-word input at server A is forwarded to the other connected servers. The servers answer, on which the suitable data lie. In contrast to the cloud concept, this ensures that only the metadata of the tags, but not the original data of the web pages or catalog content, etc. are available on the Internet or stored on servers in cloud concepts. Description Picture 1:

Figure 1, "Keyword entry" shows a browser window for entering data, with which tags can be found Field E is a standard browser line for entering address data of web pages Field B contains the actual entry line for "1" Keywords (search terms, search words ...) With "4" there is another input eg for superordinate find terms such as categories If this input field is activated by clicking, for example only words are searched which are assigned to a certain category In field A, another input field for data or jump addresses is indicated by "2." and "2" symbolizes an action field that is used to trigger certain software-controlled actions in the field D. The field C is used to represent advertising.

Description Picture 2:

Figure 2, "Output Find Results" shows a browser window for outputting find result data that matches find data as shown in Figure 1. In field B, the listed find results "5" are displayed that match the key word "1" Finally, this is the metadata that is input to tags and that essentially serves to describe web data, such as title, description, web addresses, etc. Once such a tag has been found, click to go to web Page that is present in the tag data. Description Picture 3:

Image 3, "Output result" repeats the elements of image 1 where field B now shows the results "5", which are data such as title, description, web addresses, which are available for tag data The key word "1 "is contained here repeatedly in field B, so that by changing the entry there a new result can be created without having to jump back to the side of image 1. With an action field" 2 ", which in the fields A, B, C, D , E can be arranged in different forms and with different functions, actions such as re-searching, rearranging the results, evaluating the results or querying search engines can be triggered with the given data from the key-word entry the browser areas A, B, C, D, E.

Claims

Claims: Claim 1: Devices and methods are claimed for finding marker data in the web,

1 . where marker data for websites for technical data exchange are available on a tag computer which can be controlled via the Internet,

2. whereby the marker data can be found by keywords,

5. wherein in a second method step a new browser window for inputting data for markers is opened via an input field "3",

7. where the marker in the original web page is to be called a marker window which, like an additional web page, can be seen and used independently of the original web page,

Claim 2 according to claim 1, characterized

that in the second method step the results of search engines for the present keywords are queried and displayed via an action field "6",

Claim 3 according to claim 1, characterized

1 . that an advertising field C is designed in addition to the marker data,

2. which is displayed in the result of the search matching the marker data. Claim 4 according to claim 1, characterized

that the data entered for them in the day calculator should also be queried by search engines.

Claim 5 according to claim 1, characterized