Abstract: The application relates to a method for facilitating the selection of an information source, comprising: providing two search strings to an electronic device; obtaining strings and relationship values, wherein each relationship value defines a degree of semantic relationship between two strings or a string and a search string and wherein at least some of the strings match with elements in the information sources; and displaying at least some of the matching strings on a two-dimensional map. The map comprises a first, a second and a third region, the first region comprising matching strings that have a non-zero relationship value only with regard to the first search string, the second region comprising matching strings that have a non-zero relationship value only with regard to the second search string and the third region comprising matching strings that have non-zero relationship values with regard to the first and the second search string.

Abstract: The invention relates to the field of man-machine interfacing. In particular, it relates to a user interface allowing a unified approach for organizing and navigating data on a computing device, such as a work station, a desktop computer, a tablet PC, a laptop computer and/or a mobile device. A user interface method executed on a processor for displaying, on a screen, indicia for a set of entities along a time line represented by a linear indicia is described, wherein an entity of the set of entities is associated with a time instant on the time line.

Abstract: A method for enabling machine learning from unstructured documents is described. The method comprises analyzing at an electronic device, one or more structured databases, thereby providing a mapping between a plurality of referenced character strings and a corresponding plurality of type labels; providing, at the electronic device, a first unstructured document comprising a plurality of unstructured character strings; analyzing the first unstructured document to identify a first character string of the plurality of unstructured character strings which is associated with a first referenced character string of the plurality of referenced character strings; associating, within the first unstructured document, a first type label which is mapped to the first referenced character string to the first character string; and determining a training set for machine learning from the first unstructured document comprising the association to the first type label.

Abstract: The invention relates to the field of data storage. In particular, it relates to a method and system for allowing flexible creation and management of associations between informational entities on a computing device, such as a work station, a desktop computer, a tablet PC, a laptop computer and/or a mobile device. A storage system configured for storing a network of informational entities is described. The system comprises a storage medium configured to store a plurality of informational entities; to store a corresponding plurality of association records; wherein an association record corresponding to an entity indicates an association and an association strength between the entity and another entity; and to store a corresponding plurality of frequency indicators, wherein a frequency indicator corresponding to the entity indicates the frequency of access to the entity. Furthermore, the system comprises a processor configured to access the plurality of informational entities.

Abstract: The invention relates to the field of man-machine interfacing. In particular, it relates to a user interface allowing a unified approach for organizing and navigating data on a computing device. A method executed on a processor for displaying on a screen a set of entities associated with at least one of at least two particular entities, comprises the steps of: displaying on the screen indicia of the at least two particular entities; determining the distance on the screen between the displayed indicia of the at least two particular entities; determining the set of entities based on the distance on the screen between the indicia of the at least two particular entities; and displaying on the screen indicia for the set of entities.

Abstract: The present invention relates to a text input device and a method for inputting text. The method comprises the step of predicting a ranked list of candidate words for text input, based on textual context. In a next step, the method displays the list of candidate words in alphabetical order, i.e. not according to the ranking determined by the prediction algorithm. Instead of indicating the ranking of a candidate word by its relative position within the list of candidate words, the method indicates the ranking of the candidate words by visual prominence. In response to the displayed list of candidate words, the method proceeds in receiving a user input regarding the intended word.