Patent application number | Description | Published |
20080243482 | Method for performing effective drill-down operations in text corpus visualization and exploration using language model approaches for key phrase weighting - The invention relates to a method and an apparatus for performing a drill-down operation on a text corpus comprising documents, using language models for key phrase weighting, said method comprising the steps of weighting key phrases occurring both in a foreground language model, which contains a selected document cluster of said text corpus, and in a background language model, which does not contain said selected document cluster, by calculating for each key phrase a key phrase weight comprising a ratio between the foreground weight of said key phrase and a background weight of said key phrase, and assigning documents of the foreground language model to cluster labels which are formed by key phrases having high calculated key phrase weights. | 10-02-2008 |
20090030891 | METHOD AND APPARATUS FOR EXTRACTION OF TEXTUAL CONTENT FROM HYPERTEXT WEB DOCUMENTS - Textual content is extracted from hypertext documents by generating for each text document a pruned document model tree of merged text nodes by removing selected tag nodes from a document model tree of the text document, calculating for each merged text node of the pruned document model tree a set of text features which are compared with predetermined feature criteria to decide whether the merged text node is an informative merged text node, and assembling the informative merged text nodes to generate a text file containing the textual content. | 01-29-2009 |
20100042576 | AUTOMATED COMPUTATION OF SEMANTIC SIMILARITY OF PAIRS OF NAMED ENTITY PHRASES USING ELECTRONIC DOCUMENT CORPORA AS BACKGROUND KNOWLEDGE - An overall semantic similarity score value between pairs of named entities in a text corpus is obtained by calculating for at least one pair of named entities a plurality of corresponding pair similarity score values according to a first and at least a second classifier using electronic information sources. Each pair similarity score value of the pair of named entities per classifier is normalized by calculating a rank list per classifier, for example, for each named entity. The rank list holds each pair of named entities of the text corpus, wherein a rank of each pair of named entities within the rank list reflects the respective pair similarity score value. Further an arithmetic mean of the normalized pair similarity score value of each pair of named entities is calculated to provide the overall semantic similarity score value. | 02-18-2010 |
Patent application number | Description | Published |
20080306883 | Techniques for automatically provisioning a database over a wide area network - Techniques for provisioning databases for users on a wide area network include a first party managing one or more database systems. Multiple second parties subscribe to database services supported by the database systems managed by the first party. The first party provides, over a network, to database applications controlled by the second parties, access to the database services to which the second parties are subscribed. | 12-11-2008 |
20100235513 | TECHNIQUES FOR AUTOMATICALLY PROVISIONING A DATABASE OVER A WIDE AREA NETWORK - Techniques for provisioning databases for users on a wide area network such as the Internet include a first party managing one or more database systems. Second parties subscribe to database services supported by the database systems managed by the first party. The first party provides, over a network, to database applications controlled by the second parties, access to the database services to which the second parties are subscribed. The database systems may use database appliances hosting both database process(es), and non-database process(es) tailored to the needs of the database process(es). A user is therefore able to obtain database resources from an Internet Database Service Provider (IDSP) without the user incurring the full costs of database administrator(s), dedicated database equipment facilit(ies), or even dedicated database device(s), depending on usage. Meanwhile, the IDSP incurs minimum staffing loads because of various self-service tools Costing model and automatic billing features are also described. | 09-16-2010 |
20110184978 | TECHNIQUES FOR AUTOMATICALLY PROVISIONING A DATABASE OVER A WIDE AREA NETWORK - Techniques for provisioning databases for users on a wide area network such as the Internet include a first party managing one or more database systems. Second parties subscribe to database services supported by the database systems managed by the first party. The first party provides, over a network, to database applications controlled by the second parties, access to the database services to which the second parties are subscribed. The database systems may use database appliances hosting both database process(es), and non-database process(es) tailored to the needs of the database process(es). A user is therefore able to obtain database resources from an Internet Database Service Provider (IDSP) without the user incurring the full costs of database administrator(s), dedicated database equipment facilit(ies), or even dedicated database device(s), depending on usage. Meanwhile, the IDSP incurs minimum staffing loads because of various self-service tools Costing model and automatic billing features are also described. | 07-28-2011 |
20120101994 | TECHNIQUES FOR AUTOMATICALLY PROVISIONING A DATABASE OVER A WIDE AREA NETWORK - Techniques for provisioning databases for users on a wide area network such as the Internet include a first party managing one or more database systems. Second parties subscribe to database services supported by the managed database systems. The first party provides, over a network, to database applications of the second parties, access to database services to which the second parties are subscribed. The database systems may use database appliances hosting both database process(es), and non-database process(es) tailored to the needs of the database process(es). A user is therefore able to obtain database resources from an Internet Database Service Provider (IDSP) without incurring the full costs of database administrator(s), dedicated database equipment facilit(ies), or even dedicated database device(s), depending on usage. Meanwhile, the IDSP incurs minimum staffing loads because of self-service tools. Costing model and automatic billing are also described. | 04-26-2012 |
20120303584 | TECHNIQUES FOR AUTOMATICALLY PROVISIONING A DATABASE OVER A WIDE AREA NETWORK - Techniques for provisioning databases for users on a wide area network such as the Internet include a first party managing one or more database systems. Second parties subscribe to database services supported by the managed database systems. The first party provides, over a network, to database applications of the second parties, access to database services to which the second parties are subscribed. The database systems may use database appliances hosting both database process(es), and non-database process(es) tailored to the needs of the database process(es). A user is therefore able to obtain database resources from an Internet Database Service Provider (IDSP) without incurring the full costs of database administrator(s), dedicated database equipment facilit(ies), or even dedicated database device(s), depending on usage. Meanwhile, the IDSP incurs minimum staffing loads because of self-service tools. Costing model and automatic billing are also described. | 11-29-2012 |
20130290180 | TECHNIQUES FOR AUTOMATICALLY PROVISIONING A DATABASE OVER A WIDE AREA NETWORK - Techniques for provisioning databases for users on a wide area network such as the Internet include a first party managing one or more database systems. Second parties subscribe to database services supported by the managed database systems. The first party provides, over a network, to database applications of the second parties, access to database services to which the second parties are subscribed. The database systems may use database appliances hosting both database process(es), and non-database process(es) tailored to the needs of the database process(es). A user is therefore able to obtain database resources from an Internet Database Service Provider (IDSP) without incurring the full costs of database administrator(s), dedicated database equipment facilit(ies), or even dedicated database device(s), depending on usage. Meanwhile, the IDSP incurs minimum staffing loads because of self-service tools. Costing model and automatic billing are also described. | 10-31-2013 |