Semantic Integration FrameworkA semantic, reactive microservices-based framework for integrating diverse applications through RDF, ontologies, and AI-powered inference.The framework aims to enable unified, conversational interfaces that expose discoverable use cases and transactional flows across integrated applications. ^^ [Submitter's Note: This StratML rendition was compiled by ChatGPT from the content of a Microsoft Word document shared on the W3C Semantic Web IG & W3C AIKR CG listservs by Sebastian Samaruga.] Semantic Integration ProjectSIP_18617638-577f-11f0-9a6d-36b02583ea00Sebastian SamarugaProject ProponentPerformerApplication DevelopersDevelopmentPerformerUser CommunityApplication UsageBeneficiaryEmpowering seamless, intelligent, and interoperable collaboration across diverse applications and domains._1861773c-577f-11f0-9a6d-36b02583ea00To develop a semantic, microservices-based integration framework leveraging RDF, ontologies, and AI to unify diverse applications and data sources._18617796-577f-11f0-9a6d-36b02583ea00InteroperabilityCommitment to open standards and seamless data exchange.DiscoverabilityEnabling accessible and transparent pathways to integrated use cases.ProvenanceMaintaining traceability and accountability across all transactions.ModularityBuilding flexible, composable, microservices-based solutions.User-CentricityPrioritizing human goals and intuitive interaction design.Data IntegrationEnable RDF-based translation and inference for cross-application data integration._186177be-577f-11f0-9a6d-36b02583ea001TranslationTranslate tabular, API, and document sources into RDF triples._186177e6-577f-11f0-9a6d-36b02583ea001.11.1.1Data SourcesNumber_09d7b9d2-5785-11f0-99e8-3c1d94babdf6PLACEHOLDER_1Translate at least five distinct data sources into RDF triples within the initial development phase.StatusTranslated5[To be determined]InferenceImplement type, state, and order inference across datasets._1861780e-577f-11f0-9a6d-36b02583ea001.21.2.1Entity Types & RelationshipsNumber_09d7bba8-5785-11f0-99e8-3c1d94babdf6PLACEHOLDER_2Successfully infer types and relationships across a minimum of 100 entities.StatusInferred100[To be determined]AlignmentEstablish cross-application ontology alignment and semantic matching._18617836-577f-11f0-9a6d-36b02583ea002Upper OntologiesAlign upper ontologies for cross-application concepts and relationships._1861785e-577f-11f0-9a6d-36b02583ea002.12.1.1Upper OntologiesNumber_09d7bca2-5785-11f0-99e8-3c1d94babdf6PLACEHOLDER_3Establish alignment for at least three upper ontologies.StatusAligned3[To be determined]MatchingPerform ontology matching using machine learning clustering._18617886-577f-11f0-9a6d-36b02583ea002.22.2.1AccuracyPercentage_09d7bd10-5785-11f0-99e8-3c1d94babdf6PLACEHOLDER_4Achieve at least 85% accuracy in ontology matching as validated by test datasets.StatusAchieved85[To be determined]Use CasesEnable dynamic exposure and execution of use cases and transactional flows._186178ae-577f-11f0-9a6d-36b02583ea003Contexts & InteractionsExpose dynamically inferred contexts and interactions via APIs._186178d6-577f-11f0-9a6d-36b02583ea003.13.1.1Contexts & InteractionsNumber_09d7bd88-5785-11f0-99e8-3c1d94babdf6PLACEHOLDER_5Make at least 10 dynamic contexts discoverable via APIs.StatusDiscoverable10[To be determined]TransactionsEnable cross-application transactional flows based on user-driven goals._18617930-577f-11f0-9a6d-36b02583ea003.23.2.1TransactionsNumber_09d7be00-5785-11f0-99e8-3c1d94babdf6PLACEHOLDER_6Enable at least five transactional flows integrating two or more applications.StatusEnabled5[To be determined]TraceabilityEnsure traceable synchronization between source applications and semantic layers._18617a8e-577f-11f0-9a6d-36b02583ea004SynchronizationMaintain real-time synchronization with integrated backend datasources._18617ac0-577f-11f0-9a6d-36b02583ea004.14.1.1Synchronization IntervalsMinutes_09d7be82-5785-11f0-99e8-3c1d94babdf6PLACEHOLDER_7Achieve synchronization updates at intervals of five minutes or less.Status5[To be determined]ProvenanceProvide provenance tracking for all synchronized data and interactions._18617b60-577f-11f0-9a6d-36b02583ea004.24.2.1Provenance CoveragePercentage_09d7bf0e-5785-11f0-99e8-3c1d94babdf6PLACEHOLDER_8Provide provenance tracking for at least 95% of all transactions.StatusProvided95[To be determined]MicroservicesDevelop a modular, reactive microservices architecture to support semantic processing._18617bb0-577f-11f0-9a6d-36b02583ea005DevelopmentDevelop Aggregation, Alignment, Activation, and Augmentation services with streaming capabilities._18617be2-577f-11f0-9a6d-36b02583ea005.15.1.1MicroservicesNumber_09d7bfcc-5785-11f0-99e8-3c1d94babdf6PLACEHOLDER_9Develop and deploy four core microservices: Aggregation, Alignment, Activation, and Augmentation.StatusDeployed4[To be determined]_09d7c06c-5785-11f0-99e8-3c1d94babdf62025-07-012025-07-02http://stratml.us/docs/SIF2.xml_09d7c1b6-5785-11f0-99e8-3c1d94babdf6OwenAmburOwen.Ambur@verizon.net