International Business Machines Corporation

Verity, Inc.

Sumit Taank

Jianchang Mao

David Gerard Kuehr-McLaren

Hari Shankar

Govindaraj Sampathkumar

Alpha Kamchiu Luk

Pratik Gupta

Vincent C Williams

Sharon L Cutcher

Brian A Stube

Christina Yip Chung

Hari Haranath Madduri

Anamitra Bhattacharyya

Ann Marie Fred

Thomas J Sarasin

Jinhui Liu

Vamsi Vutukuru

Policies defining the entitlements to be assigned to a new identity joining a role are automatically generated. An automatic policy assigns a new identity the entitlements commonly owned by a predetermined number of identities in the role, which may be all of the role identities. A conditional policy recommends that a new identity be assigned the non-commonly-owned entitlements associated with the role identity whose non-entitlement attributes most closely match the non-entitlement attributes of the new identity. This may be automatically determined by iterating through a vector that maps the non-commonly-owned entitlements with the non-entitlement attributes of each role identity, comparing the non-entitlement attributes of the new identity to find the closest match. The non-commonly-owned entitlements of that identity are then recommended to be assigned to the new identity, upon approval.

Automatic policy generation based on role entitlements and identity attributes

A method for implementing organization-specific policy during establishment of an autonomous connection between computer resources includes evaluating a relative priority between default credentials and alternative credentials; and using the highest priority credentials to establish a connection between the computer resources. The alternative credentials are based on organization-specific policy and provide for autonomous connections between computer resources differently than the default credentials.

Implementing organization-specific policy during establishment of an autonomous connection between computer resources

The invention is a method, system and computer program for automatically discovering concepts from a corpus of documents and automatically generating a labeled concept hierarchy. The method involves extraction of signatures from the corpus of documents. The similarity between signatures is computed using a statistical measure. The frequency distribution of signatures is refined to alleviate any inaccuracy in the similarity measure. The signatures are also disambiguated to address the polysemy problem. The similarity measure is recomputed based on the refined frequency distribution and disambiguated signatures. The recomputed similarity measure reflects actual similarity between signatures. The recomputed similarity measure is then used for clustering related signatures. The signatures are clustered to generate concepts and concepts are arranged in a concept hierarchy. The concept hierarchy automatically generates query for a particular concept and retrieves relevant documents associated with the concept.

System and method for automatically discovering a hierarchy of concepts from a corpus of documents

The present invention provides a method, system and computer program for naming a cluster, or a hierarchy of clusters, of words and phrases that have been extracted from a set of documents. The invention takes these clusters as the input and generates appropriate labels for the clusters using a lexical database. Naming involves first finding out all possible word senses for all the words in the cluster, using the lexical database; and then augmenting each word sense with words that are semantically similar to that word sense to form respective definition vectors. Thereafter, word sense disambiguation is done to find out the most relevant sense for each word. Definition vectors are clustered into groups. Each group represents a concept. These concepts are thereafter ranked based on their support. Finally, a pre-specified number of words and phrases from the definition vectors of the dominant concepts are selected as labels, based on their generality in the lexical database. Therefore, the labels may not necessarily consist of the original words in the cluster. A hierarchy of clusters is named in a recursive fashion starting from leaf clusters. Dominant concepts in child clusters are propagated into their parent to reduce the labeling complexity of parent clusters.

Method and system for naming a cluster of words and phrases

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Austin, TX, United States of America

Sumit Taank