Semantic class of the referent: we always code the referent, not the noun (e.g. kanisa ‘church’ could be a physical object or an institution, depending on context) • human • kinship term • environment (field, river etc.) • animal • physical object (can be touched) • abstract entity (cannot be touched), but not an event • event (involves the time dimension) • organization • anthropomorphic (god, angels, demons, etc.)
Semantic. Id Description Type SE-001 The platform must support the usage of ontologies and semantic modelling of data Semantic SE-002 The platform must ensure a generic structure for data representation Semantic SE-003 The platform shall provide capabilities to represent other sources of information rather than devices Semantic SE-004 The platform shall support semantic descriptions management Semantic SE-005 The platform shall support a common information model for different verticals Semantic SE-006 The platform shall support interworking proxy between different modeling languages Semantic SE-007 The platform shall support the discovery of devices based on semantic descriptions Semantic SE-008 The platform shall be skilled to perform data analytics based on semantic descriptions Semantic
Semantic processing
Semantic evaluation is standard as in first-order logic, except for updates and behavioral modalities which are given in Fig. 8.
Semantic services are used to annotate the files. The storage service only accesses this services that are deployed over the Internet to get the tags/classes of DON that are useful for annotation purposes. As mentioned before, the storage service follows a mixed approach. When users want to share/upload a file, two different scenarios are possible: • The user wants to store a file in a centralized repository directly managed by the storage service. • The user wants to maintain the file and provides a public and accessible URI/reference to retrieve such file when required.
Semantic agreement when the controller comprises several nouns
Semantic. Images: U. S. Army Photo, Two women operating the ENIAC, xxxx://xxxxxxx.xxxxxxxxx.xxx/wiki/File:Two_women_operating_ENIAC.gif Jfreyre, typical server rack, xxxx://xxxxxxx.xxxxxxxxx.xxx/wiki/File:Rack001.jpg, Attribution-Share Alike Technology Users
Semantic. Images: umjanedoan, CC BY 2.0, Law books on a shelf. xxxxx://xxx.xxxxxx.xxx/photos/umjanedoan/497364007, "Environmental Law Practice Guide“ xxxxx://xxx.xxxxxx.xxx/photos/umjanedoan/497364021/in/photostream/ Technology Policies Processes Semantic Images: Intel Free Press, Child with Apple iPad, xxxxx://xxx.xxxxxx.xxx/photos/intelfreepress/8433147083 General Services Administration. National Archives and Records Service. Office of Educational Programs. Education Division. ARC Identifier 3493233. Process Part A Action B Process Part A Action B Finish Result C Transformation Technology Policies Users Processes Semantic Technology Policies Users Processes
Semantic. Images: NASA – Xxxxxx Flight Research Center Photo Collection - xxxx://xxx.xxxx.xxxx.xxx/Gallery/Photo/Places/HTML/E49-54.html
Semantic. Digital Archive”. The IPR management activities for all these artifact types have to consider, right from the start of the project, any implications arising from potentially reused or exploited third-party material. For instance, while service- and component-based software development usually involves the reuse of a range of software libraries and public Application Programming Interfaces (APIs), DURAARK will consider any implications arising from such reuse and steer the project towards the widest possibility, availability and re-usability of its outcomes. Assessment of used data, software or knowledge has been established as a continuous process to be carried out throughout the project as a means to inform all design decisions.
