SYSTEM AND METHOD FOR INSERTING A DESCRIPTION OF IMAGES INTOAUDIO RECORDINGS

    公开(公告)号:CA2567505A1

    公开(公告)日:2008-05-09

    申请号:CA2567505

    申请日:2006-11-09

    Applicant: IBM CANADA

    Abstract: There is disclosed a system and method for interpreting and describing graph ic images. In an embodiment, the method of inserting a description of an image into an audio recording, includes interpreting an image and producing a word description o f the image including at least one image keyword; parsing an audio recording into a plurality of audio clips, and producing a transcription of each audio clip, each audio clip transcription including at least one audio keyword; calculating a similarity distance between the at least one image keyword and the at least one audio keyword of each audio clip; and selecting the audio clip transcription having the shortest similarity distance to the at least one image keyword as the location to insert the word description of the image. The word description o f the image may then be appended to the selected audio clip to produce an augmented audio recording including the interpreted word description of the image.

    SYSTEM AND METHOD FOR INTERACTION BETWEEN USERS OF AN ONLINECOMMUNITY

    公开(公告)号:CA2616234A1

    公开(公告)日:2009-06-21

    申请号:CA2616234

    申请日:2007-12-21

    Applicant: IBM CANADA

    Abstract: There is disclosed a method of facilitating interaction between users of an electronic community. In an embodiment, the method comprises: reviewing a user activity log for ea ch user in the electronic community; executing a natural language parser to extract significant noun phrases from the user activity log; updating user profiles from the newly extracted noun phrases, based on their usage frequency and importance value; and storing the updated profiles in a user profile and relationship data base; and executing a similarity based clustering algorithm to cluster user profiles, thereby discovering relationships among users and storing them in a user profile and relationship database. The method may further comprise displaying for each user the one or more relationships to which the user is assigned, together with a list of users assigned to the one or more relationships. The method may also comprise storing for each user th e relationship to which the user is assigned in a user profile and relationship database.

    INTEGRATED AUTOMATIC USER SUPPORT AND ASSISTANCE

    公开(公告)号:CA2691326A1

    公开(公告)日:2011-07-28

    申请号:CA2691326

    申请日:2010-01-28

    Applicant: IBM CANADA

    Abstract: A method of integrated automatic support and assistance includes identifying a user and retrieving models representing a computer system, receiving a query from the user, determining if the received query is a machine translatable query, restructuring machine translatable terms of the received query into semantic components based upon the retrieved models, determining a set of candidate knowledge bases both related to the semantic components, submitting the machine translatable query to each knowledge base of the set of candidate knowledge bases, receiving a set of responses from each knowledge base of the set of knowledge bases in response to the submitting, formatting the set of responses, submitting the formatted set of responses to the user, determining if a response of the submitted formatted set of responses is accepted by the user, applying updated weights within the formatted set of responses, and storing the updated weights for future queries.

    SYSTEMS AND METHODS FOR CLUSTERING DATA OBJECTS

    公开(公告)号:CA2554951A1

    公开(公告)日:2008-02-01

    申请号:CA2554951

    申请日:2006-08-01

    Applicant: IBM CANADA

    Abstract: There is disclosed a system and method for clustering data objects. In an aspect, a system for clustering data objects comprises means for calculating an importance value of at least one member in a first data object represented as a variable length vector of 0 to N members; and a clustering module for dynamically forming a plurality of clusters containing one or more data objects, the clustering module configured to associate the first data object with at least one of the plurality of clusters in dependence upo n the at least one member's similarity value in comparison to members in other data objects. Th e clustering module may be configured to cluster the first data object into a plurality o f clusters if it has at least two members and each member belongs to a different cluster.

Patent Agency Ranking