Mobile agent for the building of automatic textual reports from web queries

Traditionally, web searching in order to discover meaningful information is an action that obeys a typical way. A user launches a web query by means of a set of keywords directed toward a web searcher. Thus, it returns a list of web links (URLs) which must be read and then, analyzed by the user for finding out the required information. This way of web searching is normal for devices with broad screens, but for mobile devices with small visual areas is tiresome and cumbersome, especially if we consider the amount of information to be deployed. In this work we present a software agent (a mobile app) for the preparation and deployment of text reports in natural language from a web query. The tool implies the definition of a formal method for the extraction of text fragments from web pages, the development of a library for natural language processing, the design of a software architecture and the development of mobile apps for interfacing with users. Our agent presents small text reports, which ensures more readability and improves searching user experience.