International Business Machines Corporation

Naveen G Balani

Amit P Bohra

Vijay K Sukthankar

Abhishek Shrivastava

Archana Kumar

Krishna Kummamuru

Rahul Gupta

Lohitashwa Thyagaraj

Vijay R Kalangumvathakkal

Paul Andrew Titheridge

Sowmya H Dayananda

Mohan G Shenoy

Vikas S Kokare

Ramkishor Singh

Amrutha S Shenoy

A set of first results from a first query are received. Using a natural language processing technique, a set of second results using a second query having at least a portion of the first query and at least a portion of set of first results are generated, wherein the natural language processing technique comprises a machine learning model configured to analyze the set of first results. The set of second results are scored based upon a semantic comparison of the set of first results, the second query, and the set of second results. Using the scored set of the second results, a set of processed results are generated.

Managing a search

A mechanism is provided in a data processing system for automatically generating question and answer pairs for training a question answering system for a given domain. The mechanism identifies a set of patterns of components in passages within a corpus of documents for the given domain. The mechanism identifies a set of rules that correspond to the set of patterns for generating question and answer pairs from the passages within the corpus of documents. The mechanism applies the set of rules to the passages to generate the question and answer pairs.

Automatically generating test/training questions and answers through pattern based analysis and natural language processing techniques on the given corpus for quick domain adaptation

A method and system for managing a search is disclosed. The method and system can include receiving a set of first results from a first query. A set of categories can be identified based on the set of first results. The method and system can include generating a set of second results using a second query having at least a portion of the first query, at least a portion of the first results, and at least a portion of the set of categories. The method and system can also include scoring the set of second results based upon a relationship of the first query, the second query, and the set of second results.

A method, system, and program product for identifying cloud resources are provided, and further a method, system, and program product for configuring cloud resources are provided. The method for identifying cloud resources may include receiving a request with respect to at least one resource in a cloud and determining a set of resources among the at least one resource in the cloud in accordance with the received request. Determining the set of resources may include consulting an ontology including metadata associated with the at least one resource in the cloud and computing the set of resources based on the metadata and the received request. Additionally, the method may include computing a cost factor with respect to the determined set of resources. Furthermore, the method may include rendering, in response to the received request, the determined set of resources and the cost factor with respect to the determined set of resources.

Configuring cloud resources

A transformation tool and a validation tool are used to verify programmable artifacts, such as Java models, that are generated from an original ontology model. The verification process ensures that the programmable artifacts are semantically equivalent to the original ontology model from which they are created. Each element in the programmable artifacts is tagged with appropriate metadata, using, for example, Java language annotation support. Once tagged, the programmable artifacts can be parsed to form a generated ontology model. This generated ontology model can then be compared to the original ontology model with a validation tool, in order to verify their semantic equivalence.

Verifying programming artifacts generated from ontology artifacts or models

A log event can be received from a log source within an application server environment. The log event can be an error message which is associated with a log level. In one embodiment, the application server environment can be a JAVA 2 ENTERPRISE EDITION runtime environment. The log event can be analyzed to determine the ontology of the log event which can comprise of the log event, the user context, and the relationship of the log event to the user context. The log event can be associated with the user context as determined by the relationship of the log event.

Utilizing log event ontology to deliver user role specific solutions for problem determination

A first queue stores messages to be consumed. A second queue temporarily stores completely duplicative messages that have message identifiers equal to message identifiers of messages currently being processed s and that have times equal to times of the messages being processed; processing of the completely duplicative messages never occurs. By comparison, a partially duplicative message has its processing delayed until the message of which it is partially duplicative has been finished being processed. A partially duplicative message has a message identifier equal to a message identifier of a message referenced within the non-persistent store and has a time unequal to a time of the message referenced within the non-persistent store is moved from the first to the second queue. A non-persistent store stores references to the messages currently being processed. Once the messages are finished being processed, the references to them are removed from the non-persistent store.

Partially and completely duplicative messages handling

A computer implemented method, system and/or program product configure cloud resources. A request is received for a specific set of cloud resources. The set of cloud resources comprises at least one cloud resource that has been associated with an ontological database. The ontological database defines descriptive terms for the cloud resource and describes relationships between the descriptive terms used by different cloud resources. An optimal set of cloud resources that satisfies the request is configured and saved for future usage in responding to requests for the specific set of cloud resources.

Growing community of inventors

Mumbai, India

Naveen G Balani