International Business Machines Corporation

Unscrambl Inc

Anand Ranganathan

Anton Viktorovich Riabov

Zhen Liu

Mark David Feblowitz

Octavian Udrea

Eric P Bouillet

Nagui Halim

Hao Yang

Srinivasan Parthasarathy

Alexander Pyasik

Yifat Yulevich

Leonid Gorelik

Evgeny Chernis

Dmitry Shusterman

Larisa Shwartz

Hui Lei

Genady Grabarnik

Irina Rish

Deepak Srinivas Turaga

Royi Ronen

Richard Thomas Goodwin

Shirin Sohrabi Araghi

Vibhore Kumar

Laurent Sebastien Mignet

Hanhua Feng

Kuldeep K Nigam

Swati Shah

Bugra Gedik

Benjamin Arar

Alim Sukrucan Gokkaya

Merter Sualp

A conversational analytics system may provide for a conversational interface to any relational database. A controlled natural language may be constructed in an automated manner from a given database (e.g., from schema and values associated with a relational database). For instance, a user natural language expression may be converted to an expression in the constructed controlled natural language and the controlled natural language expression may be converted into a sequence of one or more queries in a query language (e.g., queries in structured query language (SQL)). Such an intermediate controlled natural language may provide queries without ambiguity (e.g., as each expression or phrase in the controlled natural language may be mapped to one sequence of SQL queries). Accordingly, any natural language user utterance that ultimately follows the controlled natural language may be automatically converted into a sequence of one or more SQL queries sent to the database.

Conversational interface for generating and executing controlled natural language queries on a relational database

Examples of techniques for generating streaming analytics applications are described herein. An example computer-implemented method includes receiving, via a processor, subject matter requirements in a semi-structured format. The method includes classifying, via the processor, the subject matter requirements based on a predefined taxonomy. The method includes extracting, via the processor, a list of entities from the subject matter requirements based on grammar. The method includes generating a solution based on a glossary and the list of extracted entities. The method includes generating, via the processor, a streaming analytics application based on the solution.

Generating streaming analytics applications using a glossary

Techniques for generating code for a flow are provided. The techniques include receiving a flow for an application to be deployed, wherein the flow comprises one or more sub-flows, identifying sub-flows of the flow that match existing sub-flows that are already running in separate flows by querying a run-time flow information repository, generating code for the flow, wherein the code comprises newly generated code for each of the sub-flows that do not match existing sub-flows that are already running in separate flows, and wherein the code also comprises one or more connectors to matching sub-flows that are already running in separate flows in lieu of generating new code for the sub-flows that match existing sub-flows that are already running in separate flows, and deploying the generated code for the flow and updating the run-time flow information repository with information pertaining to the flow.

Sharing of flows in a stream processing system

A flow pattern is generated from a single flow, in which the flow pattern describes a plurality of flows that are structurally similar to one another and perform similar tasks. End users are then capable of exploring the different flows of the pattern and selecting one or more flows based on high-level goals.

Constructing and deploying patterns of flows

A method for automated composition of an application including: receiving a customizable template for application composition and a composition goal, wherein the goal comprises a plurality of tags and the goal is incomplete such that more than one possible composition matches the goal; refining the goal by automatically adding refinement tags to the goal; and generating an application flow that matches the customizable template and the refined goal, wherein the application flow comprises data sources, data processing operators, and outputs of the application flow.

Automated software composition

A method and computer program product for assembling and deploying multi-platform flow based applications. An information processing flow that produces a result is assembled, the information processing flow includes components connected by data links, a component includes software code that describes at least one of an input constraint or an output constraint of the component, and at least two of the components are deployable on different computing platforms. The information processing flow is partitioned into sub-flows, such that for each sub-flow every component in the sub-flow is deployable on the same computing platform. The sub-flows are deployed on their respective computing platforms.

Assembly and deployment of multi-platform flow-based applications

Techniques for automatically partitioning a multi-platform data transform flow graph to one or more target output platforms are provided. The techniques include performing type inference on a transform graph, wherein the transform graph comprises one or more data transforms, automatically partitioning the transform graph to one or more target output platforms based on one or more policies, performing an optimization of the partitioned transform graph, and generating code, from the partitioned transform graph, for each set of the one or more data transforms based on the one or more target output platforms.

Cross-platform compiler for data transforms

A method for assembling an information processing application, includes: inputting a plurality of component descriptions, wherein each of the component descriptions includes a graph pattern that semantically describes an applicability condition of a component and a graph pattern that semantically describes an inclusion effect of the component; inputting a processing request, wherein the processing request includes a goal that is represented by a graph pattern that semantically describes a desired processing outcome; assembling a processing graph, wherein the processing graph includes at least one component that satisfies the desired processing outcome; and outputting the processing graph.

Method and system for assembling information processing applications based on declarative semantic specifications

Techniques for creating a distributed application flow from a set of rules are provided. The techniques include creating a control-flow graph for each rule, creating one or more dependency links between two or more rules, partitioning a resulting graph, wherein the resulting graph comprises one or more control-flow graphs and one or more dependency links, into one or more operators by determining an optimal set of one or more cuts through the resulting graph such that a cost function is minimized, and generating stream processing flow code from the partitioned graph.

Creating stream processing flows from sets of rules

A number of Web 2.0 sites support collaborative tagging systems, which allow users to tag resources with keywords. The tags enable search and retrieval of resources both for the user and for other users, using interfaces like a conventional search form or a tag cloud. A tag hierarchy-based search and retrieval system is provided that enhances the existing interfaces by improving search recall and allowing the discovery of even poorly annotated resources. The system uses tag co-occurrence information to automatically learn tag hierarchies. The learned hierarchies are used for automatically inferring additional tags to resources. These inferences are used to improve the recall of queries issued from a search form or via a tag cloud. The learned hierarchies can be viewed as an emergent ontology that is built up through the collaborative wisdom of a large number of users.

Method for enhancing search and browsing in collaborative tagging systems through learned tag hierarchies

A stream processing system for processing a routing request specifying a first location and a destination location in a network of interconnected locations includes a plurality of data processing elements, a memory connected to the plurality of data processing elements for storing a plurality of maps having different scopes, wherein each of the data processing elements is associated with one of the plurality of maps and determines a section of a path from the first location to the destination location in the network of interconnected locations, and a routing selection element for merging the sections of the path as a solution to the routing request.

Stream processing based intelligent transport systems

A method, system and computer program product for matching an entry of a list to data. The method includes the steps of: generating source code which matches at least a part of said list with said data; compiling said source code into binary code; and determining a match between said list and said data using said compiled binary code wherein at least one of the steps is carried out using a computer device.

Matching an entry of a list to data

A method, including: providing a computer menu from which a processing goal can be created, wherein the menu includes a plurality of facets, and wherein each facet includes at least one tag; receiving a processing goal, wherein the processing goal includes a plurality of tags selected from the menu; executing at least one application that includes a plurality of components arranged in a processing graph to produce information that satisfies the processing goal; and outputting the information.

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Stamford, CT, United States of America

Anand Ranganathan