International Business Machines Corporation

Thomas A P Hampp-Bahnmueller

Michael Baessler

Daniel Pittner

Philipp Hoffmann

Juergen Maletz

Werner Schollenberger

Jochen F Doerre

Markus Lorch

Dirk Seider

Peng Hui Jiang

Lars Bremer

Pavlo Petrenko

Sebastian B Schmid

Provided is a technique for matching different user representations of a person in a plurality of computer systems may be provided. The technique includes collecting information sets about user representations from a plurality of computer systems; normalizing the information sets to a unified format; grouping the information sets in the unified format into indexing buckets based on a user name using a non-phonetic algorithm; determining a similarity score for each pair of information sets in each of the indexing buckets; classifying each information set pair into a set of classes based on the similarity scores, wherein the set of classes comprise at least matches and non-matches; and using a data structure for merging information of information set pairs classified as matches.

Custodian disambiguation and data matching

A method for determining an encoding used for a sequence of bytes may be provided. The method comprises providing a set of candidate code pages and transforming them into different groups of sequences of bytes, wherein each group of sequences of bytes corresponds to one of the candidate code pages. Thereby each code point is transformed by applying a transformation from one of the candidate code pages to a reference code point value relating to a reference encoding for each code point. The method comprises further separating each of the transformed sequences of bytes into groups of tokens, wherein each group of tokens relates to one candidate code page, and providing an index relating to a text corpus. Furthermore, the method comprises selecting a code page from the set of candidate code pages at least partially based on how many tokens are found in the index.

Detection of unknown code page indexing tokens

A computer processor may extract identity information from a document. The identity information may include at least one custodian identity attribute. After extracting the identity information, the computer processor may determine that the identity information is associated with a specific custodian. The computer processor may then search for the custodian identity attribute in a custodian directory to determine whether the custodian directory contains an entry for the custodian. If the custodian is not in the custodian directory, the computer processor may create a new entry in the custodian directory for the custodian and store the extracted identity information in the new entry.

Maintaining a custodian directory by analyzing documents

Providing an encrypted search index for performing searches on encrypted documents, the method comprising: (i) providing a set of documents, the documents comprising a plurality of unencrypted phrases; (ii) providing a master key; (iii) providing, based on the master key, for each phrase a set of encryption keys comprising one or more encryption keys; (iv) selecting, for each phrase, one encryption key of the set of encryption keys; (v) encrypting each phrase with the selected encryption key; and (vi) building an index based on the encrypted phrases, the index comprising information regarding which encrypted phrase is comprised within a certain document.

Providing secure indexes for searching encrypted data

A computer-implemented method, carried out by one or more processors, for consolidating an index entry of a dictionary. In an embodiment, the method comprises the steps of receiving, by one or more processors, a set of parameters, wherein the set of parameters indicates at least a length of prefix and a length of hash value; receiving, by one or more processors, a first term for entry into an index; converting, by one or more processors, the first term for entry into the index according to the set of parameters; and responsive to determining the converted first term is not present in the index, storing, by one or more processors, the first converted term into the index.

Term consolidation for indices

A computer manages methods for determining accurate document transformation by rendering the source document into a non-rasterized format, where the non-rasterized format is a rendered source document. The computer rendering the target document into a non-rasterized format, where the non-rasterized format is a rendered target document. The computer comparing one or more aspects of the rendered source document to corresponding one or more aspects of the rendered target document. The computer determining, based, at least in part, on the compared one or more aspects, whether or not the source document was accurately transformed to the target document.

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Stuttgart, Germany

Thomas A P Hampp-Bahnmueller