Abstract: A computer-implemented method for creating a web programming interface (API) description may include parsing an API usage dataset with a processor to identify a plurality of nodes in each of a plurality of uniform resource locators (URLs), and tagging path parameters for the plurality of nodes. Tagging the path parameters may include identifying, with the processor, which nodes are static parts of the URLs, and identifying, with the processor, which of the nodes are path parameters for the URLs. The method may further include aggregating, with the processor, a plurality of node types based on the tagged path parameters and the static parts of the URLs, and outputting, via the processor, an API description based on the aggregated plurality of node types.

Abstract: A computer-implemented method for creating a web programming interface (API) description may include parsing an API usage dataset with a processor to identify a plurality of nodes in each of a plurality of uniform resource locators (URLs), and tagging path parameters for the plurality of nodes. Tagging the path parameters may include identifying, with the processor, which nodes are static parts of the URLs, and identifying, with the processor, which of the nodes are path parameters for the URLs. The method may further include aggregating, with the processor, a plurality of node types based on the tagged path parameters and the static parts of the URLs, and outputting, via the processor, an API description based on the aggregated plurality of node types.

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.

Abstract: Network based service composition with variable distance conditions may be provided. A workflow definition may be received and a network topology may be built based on the workflow definition. Relational data may be received and a network instance may be built based on the network topology and the distance measurement. A plurality of network instances may be built, for example, for different distance conditions. One or more paths may be determined for a pair of services based on one or more of the network instances.

Abstract: Web API recommendations for a context of an application are provided. A ranked list of recommended Web APIs and a set of Web API recommendations regarding the context of the application is sent to a client device via a network. In response to determining that a selection of a set of Web APIs in the ranked list of recommended Web APIs was received, the set of Web APIs selected is added to the context of the application to generate a new context of the application. A display of a relationship among the set of Web APIs added to the new context of the application is sent to the client device via the network.

Abstract: Providing Web API recommendations for a context of an application is provided. A ranked list of recommended Web APIs and a set of Web API recommendations regarding the context of the application is sent to a client device via a network. In response to determining that a selection of a set of Web APIs in the ranked list of recommended Web APIs was received, the selected set of Web APIs is added to the context of the application to generate a new context of the application. A display of a relationship among the set of added Web APIs to the new context of the application is sent to the client device via the network.

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.

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: Web API recommendations for a context of an application are provided. A ranked list of recommended Web APIs and a set of Web API recommendations regarding the context of the application is sent to a client device via a network. In response to determining that a selection of a set of Web APIs in the ranked list of recommended Web APIs was received, the set of Web APIs selected is added to the context of the application to generate a new context of the application. A display of a relationship among the set of Web APIs added to the new context of the application is sent to the client device via the network.

Abstract: Providing Web API recommendations for a context of an application is provided. A ranked list of recommended Web APIs and a set of Web API recommendations regarding the context of the application is sent to a client device via a network. In response to determining that a selection of a set of Web APIs in the ranked list of recommended Web APIs was received, the selected set of Web APIs is added to the context of the application to generate a new context of the application. A display of a relationship among the set of added Web APIs to the new context of the application is sent to the client device via the network.

Abstract: An embodiment of the invention comprising a method captures information for a data structure, the information pertaining to Web application programming interfaces APIs and Web application programming interface 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.

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: 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: 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.