A computerized travel system for providing advices and warnings per travel destination to end-users of the travel system, comprising: a client service module for receiving queries from the end-users and delivering merged reports of travel advices and warnings for queried travel destinations; a download and parsing module for parsing travel raw documents having an hypertext markup language (HTML) structure downloaded from a plurality of online reliable travel sources into cleaned raw documents sharing a common formatting structure including sections, sections headers and paragraphs; an algorithmic module for integrating the cleaned raw documents into the merged reports of travel advices and warnings per travel destination; a relational database for storing and retrieving all travel information and controls to operate the travel system including the cleaned raw documents and the merged reports; an administrative module to manage and control the building and delivery of the merged reports to the end-users of the travel system, wherein the computerized travel system is configured to: perform the integration of the cleaned raw documents into merged reports from a base document chosen among all the relevant clean raw documents (310, 320, and 330) for each queried travel destination, wherein the section headers of the base document are retained as section headers of the merged report, for each section of the base document, determine comparable sections between the section of the base document and sections of all other documents on the basis of contents of their section headers, for each paragraph of the comparable sections, determine a semantic similarity score with the paragraphs of the corresponding section of the base document, wherein semantic similarities of clean raw document paragraphs are evaluated on the basis of a reduced set of content-bearing keywords per paragraph and wherein semantic similarity scores are computed versus the corresponding base paragraphs, insert each paragraph of the comparable section next to the paragraph of the section of the base document returning the best semantic similarity score in the merged report. a client service module for receiving queries from the end-users and delivering merged reports of travel advices and warnings for queried travel destinations; a download and parsing module for parsing travel raw documents having an hypertext markup language (HTML) structure downloaded from a plurality of online reliable travel sources into cleaned raw documents sharing a common formatting structure including sections, sections headers and paragraphs; an algorithmic module for integrating the cleaned raw documents into the merged reports of travel advices and warnings per travel destination; a relational database for storing and retrieving all travel information and controls to operate the travel system including the cleaned raw documents and the merged reports; an administrative module to manage and control the building and delivery of the merged reports to the end-users of the travel system, perform the integration of the cleaned raw documents into merged reports from a base document chosen among all the relevant clean raw documents (310, 320, and 330) for each queried travel destination, wherein the section headers of the base document are retained as section headers of the merged report, for each section of the base document, determine comparable sections between the section of the base document and sections of all other documents on the basis of contents of their section headers, for each paragraph of the comparable sections, determine a semantic similarity score with the paragraphs of the corresponding section of the base document, wherein semantic similarities of clean raw document paragraphs are evaluated on the basis of a reduced set of content-bearing keywords per paragraph and wherein semantic similarity scores are computed versus the corresponding base paragraphs, insert each paragraph of the comparable section next to the paragraph of the section of the base document returning the best semantic similarity score in the merged report.