Method and means for data searching and language translation

• US 9,953,092 B2
• Filed: 01/28/2016
• Issued: 04/24/2018
• Est. Priority Date: 08/21/2009
• Status: Active Grant

• Current Assignee: Mikko Vaananen
• Original Assignee: Mikko Vaananen
• Inventors: Vaananen, Mikko
• Primary Examiner(s): LE, HUNG D
• Application Number:
  US15/008,537
• Publication Number:
  US 20160154810A1
• Time in Patent Office: 817 Days
• Field of Search: None
• CPC Class Codes: G06F 16/24522 Translation of natural language queries to structured queries
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/3338 Query expansion
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

The invention relates to data searching and translation. In particular, the invention relates to searching documents from the Internet or databases. Even further, the invention also relates to translating words in documents, WebPages, images or speech from one language to the next. A computer implemented method comprising at least one computer in accordance with the invention is characterized by the following steps: receiving a search query including at least one search term, deriving at least one synonym for at least one search term, expanding the received search query with the at least one synonym, searching at least one document using the expanded search query, retrieving the search results obtained with the expanded query, ranking the said search results based on context of occurrence of at least one search term. The best mode of the invention is considered to be an Internet search engine that delivers better search results.

Claims

1. A Internet Search Engine stored in a memory medium of at least two server computers, wherein

a mixed search input query, comprising at least one text term and at least one image, is extracted from visual data provided by the camera of a mobile subscriber terminal, is received by said Internet search engine via a radio connection from the mobile subscriber terminal,

at least one document is searched from the Internet using said mixed search input query comprising the at least one image and the at least one text term with at least two server computers by said Internet search engine,

the mixed search input query is divided into different search queries, by the Internet search engine, that are executed by different computers within the same Internet search engine,

most relevant search results obtained using said mixed search input query are retrieved from the Internet to the mobile subscriber terminal via a radio connection by said Internet search engine using the different computers, and

most relevant search results are ranked based on one or more predefined contextual rules, wherein the one or more predefined contextual rules include data that is open in an application on the mobile subscriber terminal of the user, and wherein the one or more predefined contextual rules further include email context ontology, and wherein for the email context ontology, data appearing in sent emails of an email application open on the mobile subscriber terminal of the user are assigned a higher weight than data appearing in inbox of the email application.

2. The Internet Search Engine as claimed in claim 1, wherein, at least one search result is ranked based on location of the at least one mobile subscriber terminal and/or the nationality of the user of the mobile subscriber terminal.

3. The Internet Search Engine as claimed in claim 1, wherein, speech is used as input for search.

4. The Internet Search Engine as claimed in claim 1, wherein the one or more predefined contextual rules further include context ontologies selected from a group consisting of word ontologies, browser context ontology, context term ontology, and publication context ontology.

5. The Internet Search Engine as claimed in claim 4, wherein the user or the server computer assigns a weight to particular regions of the ontology, or to the entire ontology.

6. The Internet Search Engine as claimed in claim 5, wherein email context ontology is assigned a higher weight than browser context ontology.

7. The Internet Search Engine as claimed in claim 5, wherein for the context term ontology, weight of a term is assigned based on frequency of the term appearing in an application open on the mobile subscriber terminal of the user.