Abstract: A computer processor monitors a service marketplace and a deployed service application that includes one or more services based on a set of service requirements. The computer processor collects consumption data of the deployed service application and service marketplace information including change and trend information associated with the service marketplace. The computer processor analyzes the consumption data and the service marketplace information with respect to the set of service requirements, and the computer processor determines a gap between at least a requirement of the set of requirements and the consumption data, and a gap between at least a requirement of the set of requirements and the service marketplace information.

Abstract: A processor stores information associated with one or more programming modules, including one or more license terms associated with the one or more programming modules. The processor receives an input indicating a set of programming modules selected from the one or more programming modules, based on the information which is stored. The processor compares the one or more license terms associated with the set of programming modules. In response to determining a conflict between the one or more license terms of the set of programming modules, the processor applies a set of rules to resolve the conflict between the one or more license terms of the set of programming modules, and the processor composes a composite license for the set of programming modules, based on the one or more license terms of the set of programming modules and the set of rules applied to resolve the conflict.

Abstract: An application programming interface (API) exploration data structure is used in presenting an API composite to a first entity. A query associated with a topic is received from the first entity. A portion of the data structure is accessed. The accessed portion includes nodes that represent entities, nodes that represent APIs, and edges that represent relationships between nodes. A similarity score is calculated for each entity using a comparison to the first entity. Each similarity score is then compared to a threshold. A first network including each entity that has a similarity score above the threshold is generated. An API group including each API that has a relationship with the first network is generated. The API composite is identified based on the topic. As identified, the API composite includes an API of the related API group. The API composite is presented to the first entity.

Abstract: A method and computer for managing analysis of sentiment is disclosed. A computer retrieves data used to perform the analysis of sentiment. The computer analyzes the data and the analysis of sentiment to determine if a gap exists requiring further processing to improve the analysis of sentiment. Responsive to a determination that the gap exists requiring further processing to improve the analysis of sentiment, the computer generates a task to address the gap. The computer then uses crowdsourcing to submit the generated task for processing.

Abstract: Predicting consumption of APIs is provided. A set of consumed APIs corresponding to a user and software service applications related to APIs associated with the user is determined based on an API consumption history. A set of users related to the set of consumed APIs corresponding to the user and the software service applications related to the APIs associated with the user is retrieved from an API analytics engine. A set of API consumption prediction models corresponding to the user is generated based on the APIs associated with the user, the software service applications related to the APIs associated with the user, the set of consumed APIs corresponding to the user and the software service applications related to the APIs associated with the user based on the API consumption history, the set of users related to the set of consumed APIs, and APIs associated with the set of users.

Abstract: Software that uses machine logic based algorithms to help determine and/or prioritize an application programming interface's (API) desirability to a user based on how closely the API's terms of service (ToS) meet the users' ToS preferences. The software performs the following steps: (i) receiving a set of API ToS feature information that includes identifying information for at least one API and respectively associated ToS features for each identified API; (ii) receiving ToS preference information that relates to ToS related preferences for a user; and (iii) evaluating a strength of a match between each respective API identified in the API ToS feature information set and the ToS preference information to yield a match value for each API identified in the API ToS feature information set. The ToS features include at least a first ToS field. At least one API includes multiple, alternative values in its first ToS field.

Abstract: Software that utilizes machine logic-based algorithms to combine the Terms of Service (ToS) portions of multiple Application Programming Interfaces (APIs) by performing the following steps: (i) providing a first ToS portion of a first API, with the first ToS portion including a first ToS feature value for a first ToS feature; (ii) providing a second ToS portion of a second API, with the second ToS portion including a second ToS feature value for the first ToS feature; and (iii) merging, at least, the first ToS portion and the second ToS portion, according to a set of ToS merger rule(s) applied by machine logic, to generate a merged ToS. One merger rule combines at least the first ToS feature value and the second ToS feature value according to a set of operator(s) to generate a first merged ToS feature value included as the first ToS feature in the merged ToS.

Abstract: An embodiment of the invention is provided for use in discovering a specified API service capability. The embodiment includes generating a search statement related to the specified API service capability. The embodiment further includes constructing a data structure, wherein the data structure includes one or more characteristic nodes that are each associated with data describing a particular API characteristic, and the associated data for respective characteristic nodes is ordered in accordance with one or more API service ontologies. The search statement is used to selectively search the data structure. The embodiment determines whether the search finds a match between data included in the search statement, and particular ontological data associated with one or more of the characteristic nodes of the data structure.

Abstract: Methods, systems, and computer program products for managing access of user information by third party applications are provided herein. A method includes compiling a set of user instructions for providing access of user resources to one or more third party applications, wherein the set of user instructions specifies a context in which each of multiple items of the user resources at one or more application programming interface providers can be accessed by the third party applications; mapping a request from one of the third party applications for access to one or more items of the user resources to the application programming interface providers, which correspond to one or more entities maintaining the user resources; and granting access to the one or more items of the user resources to said one third party application through the application programming interface providers based on the set of user instructions.

Abstract: Offline functionality-based co-ranking and clustering is carried out on a knowledge base that characterizes a heterogeneous information technology services network including a plurality of services, a plurality of providers, and a plurality of attributes. Results of the functionality-based co-ranking and clustering are stored as annotations of the services and the providers in the knowledge base, to obtain an annotated knowledge base. A service requirement is obtained from a customer requiring information technology services. The annotated knowledge base is queried, based on the service requirement; and an ordered list of at least given ones of the services, based on the querying, is returned to the customer.

Abstract: An embodiment of the invention pertains to Web application programming interface (API) data associated with a Web API ecosystem. The embodiment comprises constructing a data structure that is selectively related to at least some of the Web API data associated with the Web API ecosystem. The embodiment further comprises commencing an analytics operation to determine specified information which is of interest to a given Web API user, wherein the given Web API user has a role that pertains to the Web API ecosystem. Responsive to commencing the operation, Web API data related to the data structure is used to determine one or more preliminary data elements, wherein at least one of the preliminary data elements comprises an answer to a specified preliminary query. Respective preliminary data elements are selectively used to determine the specified information that is of interest to the given Web API user.

Abstract: An embodiment of the invention comprises a method associated with a Web API ecosystem and API users includes identifying specified events over a period of time that respectively affect the ecosystem. Events can comprise an interaction between the ecosystem and a Web API user or a specified Web API. The embodiment further includes constructing a data structure that contains a data element representing each identified event. An interface is used to translate respective data elements between the data structure and a data store, wherein the data store represents translated data elements in a form different from that used to represent the data elements in the data structure.

Abstract: Predicting consumption of APIs is provided. A set of consumed APIs corresponding to a user and software service applications related to APIs associated with the user is determined based on an API consumption history. A set of users related to the set of consumed APIs corresponding to the user and the software service applications related to the APIs associated with the user is retrieved from an API analytics engine. A set of API consumption prediction models corresponding to the user is generated based on the APIs associated with the user, the software service applications related to the APIs associated with the user, the set of consumed APIs corresponding to the user and the software service applications related to the APIs associated with the user based on the API consumption history, the set of users related to the set of consumed APIs, and APIs associated with the set of users.

Abstract: Bundling application programming interfaces is provided. Related application programming interfaces within a set of application programming interfaces and their corresponding dependent application programming interfaces are combined with related composite application programming interfaces within a set of composite application programming interfaces and their corresponding dependent application programming interfaces to generate a set of application programming interface bundles. The computer prunes the set of application programming interface bundles based on a determined application programming interface budget pattern that corresponds to a selected cluster of application programming interface consumers. The computer prices the pruned set of application programming interface bundles based on an application programming interface bundle pricing model.

Abstract: A natural language specification of at least one high level information technology services requirement is obtained from a user, via a conversational interface; the same is parsed into first pre-defined semi-structured data, using a conversation parser. Based on the first pre-defined semi-structured data, a subset of candidate information technology services is identified, with a dialog engine, from a plurality of candidate information technology services provided by a plurality of vendors, the dialog engine is used to formulate a response including second pre-defined semi-structured data. The response is reverse-parsed into a natural language response, using the conversation parser. The natural language response includes a question for the user to assist in further refining the subset of candidate information technology services; the natural language response is presented to the user via the conversational interface.

Abstract: An embodiment of the invention comprising a method captures information for a data structure, the information pertaining to Web APIs and Web API users. The method includes identifying a first set of relationships, wherein an identified relationship can be at least a relationship between a Web API and a Web API user, between different Web API users, or between different Web APIs. The method further includes furnishing the first set of relationships to the data structure as first captured information, and using the first captured information to perform a specified analysis operation. Prior to or during performance of the specified analysis operation, second information is added to the data structure wherein the added second information includes at least one of a user, a Web API, or a relationship that is not included in the first captured information, and the added second information does not affect performance of the specified analysis operation.

Abstract: Systems and methods for custom-fitting a service solution to consumer requirements are provided. A method for custom-fitting a service solution to consumer requirements, comprises acquiring a request for the service solution from a consumer via a conversational interface, and issuing a query to a service knowledge base to obtain a set of service knowledge representation items from the service knowledge base and analyzing each service knowledge representation item to determine whether a custom-fit service solution can be developed.

Abstract: Systems and methods for custom-fitting a service solution to consumer requirements are provided. A method for custom-fitting a service solution to consumer requirements, comprises acquiring a request for the service solution from a consumer via a conversational interface, and issuing a query to a service knowledge base to obtain a set of service knowledge representation items from the service knowledge base and analyzing each service knowledge representation item to determine whether a custom-fit service solution can be developed.

Abstract: An embodiment of the invention comprising a method is associated with an API marketplace, wherein one or more API providers can each supply an API of a specified type, and each provider has a set of ToS for its API of the specified type. The method includes, responsive to an API consumer having a need for an API of the specified type, obtaining the ToS of each of the API providers. The method further includes implementing an automated process to determine differences between the ToS of a given API provider, and a ToS required by the API consumer. The ToS differences determined for respective API providers are used to decide whether to select a particular one of the API providers to supply an API of the specified type to the API consumer.

Abstract: A natural language specification of at least one high level information technology services requirement is obtained from a user, via a conversational interface; the same is parsed into first pre-defined semi-structured data, using a conversation parser. Based on the first pre-defined semi-structured data, a subset of candidate information technology services is identified, with a dialog engine, from a plurality of candidate information technology services provided by a plurality of vendors, the dialog engine is used to formulate a response including second pre-defined semi-structured data. The response is reverse-parsed into a natural language response, using the conversation parser. The natural language response includes a question for the user to assist in further refining the subset of candidate information technology services; the natural language response is presented to the user via the conversational interface.