Intent-Driven Internet Interoperability: Enabling Cross-Platform Task Execution Across Heterogeneous Digital Environments

The Internet has evolved into a heterogeneous ecosystem of interconnected platforms, applications, digital services, information systems, and computational resources. Although these environments increasingly expose APIs, automation interfaces, and machine-accessible capabilities, their underlying operational structures remain fragmented. Different platforms may employ incompatible data formats, communication protocols, interaction mechanisms, state representations, authentication requirements, and business rules. Consequently, completing a task across multiple digital environments frequently requires users or autonomous systems to perform intermediate transformations, translate operations, reconcile execution states, and resolve compatibility problems. This paper proposes Intent-Driven Internet Interoperability (IDII), a conceptual research framework designed to enable autonomous task execution across heterogeneous digital environments by organizing interoperability around user intent rather than individual platform specifications. Instead of requiring every digital service to adopt an identical technical architecture, the proposed approach seeks to establish an adaptive interoperability layer that interprets task requirements, identifies cross-environment compatibility conditions, translates semantic representations and operational instructions, and coordinates interactions between heterogeneous capabilities. To operationalize this approach, the paper introduces the Intent-Driven Interoperability Framework (IDIF), comprising eight interconnected components: intent-oriented task representation, semantic interoperability analysis, heterogeneous environment profiling, capability and protocol adaptation, cross-environment operation planning, state and context synchronization, interoperability failure detection and recovery, and outcome verification. The framework further introduces an interoperability compatibility model that evaluates whether two or more digital capabilities can cooperate with respect to semantic meaning, data structures, operational protocols, execution requirements, state transitions, and business constraints. A central principle of IDII is that interoperability should be evaluated according to whether heterogeneous environments can collectively preserve and accomplish the intended task, rather than merely whether they can exchange data or communicate through compatible interfaces. This distinction extends interoperability research from static technical connectivity toward intent-preserving, task-oriented coordination. The framework also examines potential advantages concerning reduced platform dependency, improved service composability, autonomous workflow execution, legacy-system integration, task continuity, adaptive compatibility, and extensibility across evolving digital environments. The paper develops the framework's conceptual architecture, operational models, interoperability mechanisms, research propositions, evaluation methodology, and implementation considerations. It further distinguishes the proposed approach from conventional API integration, data transformation, service-oriented interoperability, and capability discovery. Importantly, this paper presents a conceptual research framework and does not claim completed experimental validation or demonstrated performance superiority. Its proposed mechanisms and potential advantages require further formalization, implementation, and empirical evaluation.