Abstract: Methods and arrangements for configuring document editors. A search client add-in is loaded at a document editor. At the document editor, a document is accepted from a search engine. Communication is established between the search client add-in and the search engine. At the search client add-in, supplementary information about the document is received from the search engine. User input about the document is accepted, and is directed to the search engine. The document is informatively enhanced via at least one of: the supplementary information and the user input. Other variants and embodiments are broadly contemplated herein.

Abstract: Systems and associated methods for automated and semi-automated building of domain models for documents are described. Embodiments provide an approach to discover an information model by mining documentation about a particular domain captured in the documents. Embodiments classify the documents into one or more types corresponding to concepts using indicative words, identify candidate model elements (concepts) for document types, identify relationships both within and across document types, and consolidate and learn a global model for the domain.

Abstract: Methods and arrangements for managing user access to a graph database. Nodes are represented in a graph, along with edges which interconnect the nodes. One or more facts are associated with each of the edges, and an access control list is provided with respect to one or more facts associated with one or more of the edges. There is restricted user access to one or more facts associated with the one or more of the edges, based on the access control list. Other variants and embodiments are broadly contemplated herein.

Abstract: Discovering work-item relations, in one aspect, may include identifying mappings of work-item elements to standardized specification elements, for instance, by analyzing a plurality of work-item elements and their relationships generated from a description of a collection of work-items, and a plurality of standardized specification elements and their relationships generated from a description of practice guidelines for completing the project. One or more missing relations may be discovered among the plurality of work-item elements based on the mappings.

Abstract: Methods and arrangements for managing user access to a graph database. Nodes are represented in a graph, along with edges which interconnect the nodes. One or more facts are associated with each of the edges, and an access control list is provided with respect to one or more facts associated with one or more of the edges. There is restricted user access to one or more facts associated with the one or more of the edges, based on the access control list. Other variants and embodiments are broadly contemplated herein.

Abstract: Embodiments of the present invention provide a system, method, and program product for predicting the classification of a work-item notification generated by an issue tracking system. A computing device analyzes a new work-item notification using a trained binary classifier that was trained using at least a past and/or current work-item history that was collected as a tuple that includes information reflecting the workitem-ID, actor, timestamp, attribute, work-item start-value, and work-item end-value. The computing device, in response to analyzing the new work-item notification, predicts a classification of the new work-item notification. In an embodiment, the classification is used for display of the new work-item notification.

Abstract: Methods, systems, and articles of manufacture for managing and using shareable search lists are provided herein. A method includes generating a search list associated with a first user, wherein said search list comprises an identification of one or more sites pertaining to a given topic; managing said search list in accordance with (i) one or more instructions provided by said first user, and (ii) one or more access control policies associated with one or more additional users; and sharing said search list associated with said first user with one or more additional users based on the one or more access control policies associated with one or more additional users.

Abstract: A system and an article of manufacture for semantic and contextual searching over a knowledge repository including creating a search query for each concept related to the target concept to form a search context, wherein the search query for each related concept comprises at least one word derived from a record of that concept previously authored in the project, running the search query on a search index of a knowledge repository to identify a record of the related concept for which the search query is created, and fetching the record of the target concept from the repository as a search result such that the fetched record of the target concept is linked in the knowledge repository to a record of the related concept returned as a result of running the search query on at least one record of the at least one related concept.

Abstract: A method for semantic and contextual searching over a knowledge repository. The method includes creating a search query for each concept related to the target concept to form a search context, wherein the search query for each related concept comprises at least one word derived from a record of that concept previously authored in the project, running the search query on a search index of a knowledge repository to identify a record of the related concept for which the search query is created, and fetching the record of the target concept from the repository as a search result such that the fetched record of the target concept is linked in the knowledge repository to a record of the related concept returned as a result of running the search query on at least one record of the at least one related concept.

Abstract: A method that comprises receiving a plurality of inputs including data a plurality of multiple business repositories, generating from the plurality of inputs a corpus graph as a statistical relational network, inferring a plurality of new relations between informational elements of the statistical relational network, and generating a plurality of summaries of the plurality of new relations. Further, each summary describes the informational elements of the statistical relational network associated with a corresponding risk-relation.

Abstract: Methods, systems, and articles of manufacture for managing and using shareable search lists are provided herein. A method includes generating a search list associated with a first user, wherein said search list comprises an identification of one or more sites pertaining to a given topic; managing said search list in accordance with (i) one or more instructions provided by said first user, and (ii) one or more access control policies associated with one or more additional users; and sharing said search list associated with said first user with one or more additional users based on the one or more access control policies associated with one or more additional users.

Abstract: An example embodiment disclosed is a system for automated model extraction of documents containing flow diagrams. An extractor is configured to extract from the flow diagrams flow graphs. The extractor further extracts nodes and edges, and relational, geometric and textual features for the extracted nodes and edges. A classifier is configured to recognize process semantics based on the extracted nodes and edges, and the relational, geometric and textual features of the extracted nodes and edges. A process modeling language code is generated based on the recognized process semantics. Rules to recognize patterns in process diagrams may be determined using supervised learning and/or unsupervised learning. During supervised learning, an expert labels example flow diagrams so that a classifier can derive the classification rules. During unsupervised learning flow diagrams are clustered based on relational, geometric and textual features of nodes and edges.

Abstract: A computer system, method and computer program product for automatically converting, through automating-test-automation software, a manual test case representation (in a natural language), for testing a target software, into a machine-readable test case representation. In preferred embodiments, the machine-readable test case is in the form of a keyword-based test case that is made from action-target-data tuples. The automation-test-software uses a methodical process of trial-and-error to resolve ambiguities that are generally present (and generally resolvable by humans) in the manual test case representation.

Abstract: Embodiments of the invention provide systems and methods for applying Business Process Management (BPM) to enterprises having business processes documented in multiple representations. Embodiments of the invention reconcile and organize documented information about processes into groups that convey inter-process similarity. The discovered knowledge can be used by embodiments of the invention for many applications to find process clusters that significantly boost performance.

Abstract: Embodiments of the present invention provide a system, method, and program product for predicting the classification of a work-item notification generated by an issue tracking system. A computing device analyzes a new work-item notification using a trained binary classifier that was trained using at least a past and/or current work-item history that was collected as a tuple that includes information reflecting the workitem-ID, actor, timestamp, attribute, work-item start-value, and work-item end-value. The computing device, in response to analyzing the new work-item notification, predicts a classification of the new work-item notification. In an embodiment, the classification is used for display of the new work-item notification.

Abstract: Techniques, a system and an article of manufacture for designing integrated enterprise solutions. A method includes aggregating multiple work-products pertaining to solutions submitted in response to one or more previous solution requests, segmenting the multiple work-products into multiple segments based on content category, annotating each of the multiple segments with a tag based on one or more semantic associations with the content of each of the segments, adding each of the segments and each of the tags into a database, performing a search in the database to identify a set of one or more of the segments with at least one tag that corresponds to content of a current solution request, and ranking each of the segments in the set based on a degree of semantic matching with one or more parts of the current solution request.

Abstract: Embodiments of the present invention provide a system, method, and program product for predicting the classification of a work-item notification generated by an issue tracking system. A computing device analyzes a new work-item notification using a trained binary classifier that was trained using at least a past and/or current work-item history that was collected as a tuple that includes information reflecting the workitem-ID, actor, timestamp, attribute, work-item start-value, and work-item end-value. The computing device, in response to analyzing the new work-item notification, predicts a classification of the new work-item notification. In an embodiment, the classification is used for display of the new work-item notification.

Abstract: Methods and arrangements for configuring document editors. A search client add-in is loaded at a document editor. At the document editor, a document is accepted from a search engine. Communication is established between the search client add-in and the search engine. At the search client add-in, supplementary information about the document is received from the search engine. User input about the document is accepted, and is directed to the search engine. The document is informatively enhanced via at least one of: the supplementary information and the user input. Other variants and embodiments are broadly contemplated herein.

Abstract: Embodiments of the present invention provide a system, method, and program product for predicting the classification of a work-item notification generated by an issue tracking system. A computing device analyzes a new work-item notification using a trained binary classifier that was trained using at least a past and/or current work-item history that was collected as a tuple that includes information reflecting the workitem-ID, actor, timestamp, attribute, work-item start-value, and work-item end-value. The computing device, in response to analyzing the new work-item notification, predicts a classification of the new work-item notification. In an embodiment, the classification is used for display of the new work-item notification.

Abstract: Techniques, a system and an article of manufacture for designing integrated enterprise solutions. A method includes aggregating multiple work-products pertaining to solutions submitted in response to one or more previous solution requests, segmenting the multiple work-products into multiple segments based on content category, annotating each of the multiple segments with a tag based on one or more semantic associations with the content of each of the segments, adding each of the segments and each of the tags into a database, performing a search in the database to identify a set of one or more of the segments with at least one tag that corresponds to content of a current solution request, and ranking each of the segments in the set based on a degree of semantic matching with one or more parts of the current solution request.