Abstract: Various examples relate to methods, apparatuses, device, computer programs, computer systems and systems. A method comprises obtaining, by a non-fungible token (NFT) smart contract being executed in a trusted execution environment, a request to perform an operation using the asset, providing, by the NFT smart contract, the request for a service for providing access to the asset if the request is obtained from a current owner of the NFT smart contract, obtaining, by the NFT smart contract, a result provided by the service for providing access to the asset, the result being based on the request, and providing, by the NFT smart contract, the result for the current owner of the NFT smart contract.

Abstract: Embodiments involve using smart contracts in a decentralized network as a framework for a smart city commodity exchange. In at least one embodiment, consumers and service providers negotiate terms and conditions of a smart contract for providing goods or services to the consumer. The service provider may provide all requested goods and services or bundle goods and services provided from multiple vendors. Verification of smart contract fulfillment may be assisted by information from sensors or other independent data collection. The service provider may provide discounted services in exchange for information to provide to a third party. Resources of both the consumer and service provide are committed during smart contract negotiations until completion of the smart contract, or rejection of the offered terms. Resource commitments, smart contract generation, performance of the smart contract and intermediate transactions are recorded in public ledgers according to Blockchain protocols.

Abstract: Systems and methods help explain search logic and search results to a user, who performed a search. The search is part of any application, such as email, word processing, e-commerce, database queries, Internet search engines, website searches, document management. Systems and methods of displaying similarity profiles and manipulating the profile of a relevancy search help a user to understand how a search is performed and why the results are what they are. In this way, a user learns more quickly and searches more efficiently.