Semantic Web form for sense attributes Most of the historical language thesauri of Scots and English contain information on lexical senses beyond merely the existence of these senses.63 These thesauri specify such attributes as the part of speech, definition, language, and usage features. Although LEMON suggests definitions are best captured using the definition relation from SKOS,64 choosing an appropriate data vocabulary for expressing the remainder of these attributes on the Semantic Web is not as straightforward as choosing that for the other components has been. Indeed, the LEMON specification states that it neither aims to provide such terminology itself nor wishes to proclaim a single data vocabulary as being the most suitable. Instead, the specification lists a number of efforts that may be useful for describing properties of linguistic objects: GOLD, LexInfo, OLiA, ISOcat (recently superseded by DatCatInfo), and the Clarin Concept Registry.65 Thus, the specification fails to standardize sense attributes. The reluctance to put forward a single data vocabulary for this purpose is not without reason, as an examination of the expressivity of the existing data vocabularies will show.
Semantic Web. W3C. 2015. Semantic Web. Online. Available at xxxx://xxx.x0.xxx/standards/semanticweb/ Accessed 08.12.2015 Appendix 1: SCIS and CITYkeys A short description of the currently running H2020 project Smart City Information System (SCIS)35 is presented and preliminary, possible linking to the CITYkeys project is evaluated. The SCIS project brings together information for project developers, cities, institutions, industry and experts to collaborate on the creation of smart cities and an energy-efficient urban environment. SCIS focuses on energy efficiency (energy demand reduction, CO2 emission, renewable energy). SCIS is oriented towards the neighbourhood/building level, so synergies with the project level of CITYkeys may be possible for projects that are not heavily ICT-oriented. Information about economic monitoring as well as social and policy monitoring is also collected by SCIS.
Semantic Web. Technologies This action line has four foci, and we will describe how this project is related to each of them. Methods and tools for coding and structuring digital content, for defining and declar- ing its semantics. These would typically employ XML, RDF and other techniques for semantic interoperability and reasoning such as ontologies for domain specific applica- tions. * Mathematics is a distinctive medium, and this project will provide mechanisms for describing the semantic attributes of mathematical content and mathematical services on the Web. OpenMath, an XML-encoding of mathematical objects, gives the partners in a mathematical conversation the common semantic framework needed to communi- cate mathematical information. It will therefore form the basis of the various ontologies that will be needed for problem, service, and query description. Methods and tools for the derivation of semantic attributes of Web-based content
Semantic Web. In the original Xxx Xxxxxxx-Xxx’x article (Xxxxxxx-Xxx, 2001), the term Semantic Web described the evolution from a Web containing mainly documents for humans to read to one that included data and information for computers to manipulate. The main idea is that the Semantic Web could help integrating and retrieving information which is stored in isolate silos, in different software applications, and different places that currently cannot be connected easily. The Semantic Web activities at W3C23 provide web sites with standards allowing to publish internet contents in a form that machines can process and integrate more readily. A framework is defined that allows data to be shared and reused across application, comprising: 15 xxxx://xxx.xxxxxxxxx.xxx/wiki/MediaWiki , last visited on 2012-05-18 16 xxxx://xxxxxxxxx.xxx/ , last visited on 2012-05-18 20 xxxx://xxx.xxxxxxxx.xxx/ , last visited on 2012-05-18 21 xxxx://xxxxxxxx.xxx.xxx/products/product_family/documentum_family.htm , last visited on 2012-05-18 • the Resource Description Framework (RDF), an XML language for representing information about resources in the World Wide Web; • the Web Ontology Language (OWL), designed for use by applications that need to process the content of information instead of just presenting information to humans; OWL provides a mean for describing relations between classes, cardinality, equality, richer typing of properties, characteristics of properties, and enumerated classes; • SPARQL, a protocol and query language for semantic web data sources. The intent is to enhance the usefulness of the Web and its interconnection capabilities through a common standard (RDF) for websites to expose information "marked up" with semantic information, and then having automated agents to perform tasks for users of the semantic web using this data. Within this framework, for example, it would be possible for users to instruct their computers to search for a camera with a resolution of at least 7M pixels, an optical zoom of at least 6X, in the nearest shopping centre opened in the first Sunday of each month, offering the possibility to pay with a given credit card. This is a task that a computer cannot perform without human direction because it requires the ability to interact with heterogeneous data and information types and searching into a set of databases which are connected not by wires but by being about the same thing.
Semantic Web. The Semantic Web is the representation of data on the World Wide Web. It is a collaborative effort led by The World Wide Web Consortium (W3C) with participation from a large number of researchers and industrial partners. It is based on the Resource Description Framework (RDF), which integrates a variety of applications using XML for syntax and URIs for naming. When looking at a possible formulation of a universal Web of semantic assertions, the principle of minimalist design requires that it be based on a common model of great generality. Only when the common model is general can any prospective application be mapped onto the model. The general model is the Resource Description Framework. OWL is a language for defining structured, Web-based ontologies, which enable richer integration and interoperability of data across application boundaries. Early adopters of these standards include medical communities, corporate enterprise and governments. OWL enables a range of descriptive applications including managing web portals, content-based searches, enabling intelligent agents, web services and ubiquitous computing. W3C has now issued OWL as a W3C Candidate Recommendation, which is an explicit call for implementations, indicating that the specification is stable and ready for implementation. eu-DOMAIN will use RDF and OWL to formulate semantic searches for methods of interaction and data exchange among devices and terminal in order to support self- configuration and service deliver on-demand.
