A technique for arranging nodes on a landscape based on a viewpoint desired by a user is provided. One aspect of the present disclosure relates to a node processing apparatus for synthesizing and extracting feature quantities that meet the needs of a user analysis from a plurality of types of feature quantities assigned for each node of a node set, and the node processing apparatus includes a receiving unit configured to receive, from a user, a designation related to an arrangement of nodes selected from the node set on an analysis axis assumed by the user, and a node processing unit configured to synthesize and extract feature quantities based on the arrangement of the received designation.

A technique for arranging nodes on a landscape based on a viewpoint desired by a user is provided. One aspect of the present disclosure relates to a node processing apparatus for synthesizing and extracting feature quantities that meet the needs of a user analysis from a plurality of types of feature quantities assigned for each node of a node set, and the node processing apparatus includes a receiving unit configured to receive, from a user, a designation related to an arrangement of nodes selected from the node set on an analysis axis assumed by the user, and a node processing unit configured to synthesize and extract feature quantities based on the arrangement of the received designation.

In a search or delete request towards a storage entity storing data in a plurality of records, an identifier list indicating identifiers associated with specific records to be processed is included, and the request including the identifier list is transmitted.

In a search or delete request towards a storage entity storing data in a plurality of records, an identifier list indicating identifiers associated with specific records to be processed is included, and the request including the identifier list is transmitted.

A computer-implemented method, system and computer program product for improving understandability of text by a user. A final word vector for each word in a sentence of a document is computed, such as by averaging a first word vector and a second word vector for that word. Furthermore, elements of a user portrait are vectorized. A distance is then computed between a vector for each word in the sentence and a vectorized element in the user’s portrait which is summed to form an evaluation result for the element. An evaluation result is also formed for every other element in the user’s portrait by performing such a computation step. A “final evaluation result” is then generated corresponding to the evaluation results for every element in the user’s portrait. The document is then transformed in response to the final evaluation result indicating a lack of understanding of the sentence by the user.

A computer-implemented method, system and computer program product for improving understandability of text by a user. A final word vector for each word in a sentence of a document is computed, such as by averaging a first word vector and a second word vector for that word. Furthermore, elements of a user portrait are vectorized. A distance is then computed between a vector for each word in the sentence and a vectorized element in the user’s portrait which is summed to form an evaluation result for the element. An evaluation result is also formed for every other element in the user’s portrait by performing such a computation step. A “final evaluation result” is then generated corresponding to the evaluation results for every element in the user’s portrait. The document is then transformed in response to the final evaluation result indicating a lack of understanding of the sentence by the user.

A system and method are presented that improves search results based on skills associated with individuals. The system monitors an individual's contributions to a third-party forum and associates the contributions with skills. The system also monitors learnings received by the individual. Assignments are made to associate the individual with the skills and to assign points. Users request a search based on search skill parameters, and the system uses forum-based data and non-forum data to identify and sort individuals. Skill and point assignments are made temporarily, and assignments are deleted upon the expiration of a time-to-live clock. Save events can permanently save data. Local forum data is also stored and can be used to restore deleted assignments. Points are used to improve avatars used when interacting with searching users.

A system and method are presented that improves search results based on skills associated with individuals. The system monitors an individual's contributions to a third-party forum and associates the contributions with skills. The system also monitors learnings received by the individual. Assignments are made to associate the individual with the skills and to assign points. Users request a search based on search skill parameters, and the system uses forum-based data and non-forum data to identify and sort individuals. Skill and point assignments are made temporarily, and assignments are deleted upon the expiration of a time-to-live clock. Save events can permanently save data. Local forum data is also stored and can be used to restore deleted assignments. Points are used to improve avatars used when interacting with searching users.

A computer-implemented method for extracting semantic relations is disclosed. In the method, a plurality of hierarchal structures that originates from a corpus of documents is obtained. Each hierarchal structure includes a plurality of elements having respective recitations included in a corresponding document. In the method, for each predetermined relationship between ancestor and descendant elements in the hierarchal structures, a first keyword list is extracted from the ancestor element and a second keyword list is extracted from the descendant element. A statistical index is calculated for each pair of first and second keywords using the first keyword lists and the second keyword lists. The index indicates a strength of association between the first and second keywords. In the method, a candidate list of keyword pairs having semantic relationships is output using the statistical index calculated for each pair.

A computer-implemented method for extracting semantic relations is disclosed. In the method, a plurality of hierarchal structures that originates from a corpus of documents is obtained. Each hierarchal structure includes a plurality of elements having respective recitations included in a corresponding document. In the method, for each predetermined relationship between ancestor and descendant elements in the hierarchal structures, a first keyword list is extracted from the ancestor element and a second keyword list is extracted from the descendant element. A statistical index is calculated for each pair of first and second keywords using the first keyword lists and the second keyword lists. The index indicates a strength of association between the first and second keywords. In the method, a candidate list of keyword pairs having semantic relationships is output using the statistical index calculated for each pair.