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Vastness: The World Wide Internet contains many billions of pages. The SNOMED CT medical terminology ontology alone contains 370,000 class names, and existing technology has not yet been able to eliminate all semantically duplicated terms. Any automated reasoning system will have to deal with truly huge inputs.

Effective use of such a formal representation requires the author to become a skilled knowledge engineer hinein addition to any other skills required by the domain. […] Once one has learned a formal representation language, it is lautlos often much more effort to express ideas hinein that representation than rein a less formal representation […]. Indeed, this is a form of programming based on the declaration of semantic data and requires an understanding of how reasoning algorithms will interpret the authored structures.

The fundamental idea is focused on networking and communities of users working with a number of Internet-based applications like blogging services, publishing services of multimedia content, social networks or wikis.

Ontology engineering research includes the question of how to involve non-expert users rein creating ontologies and semantically annotated content[48] and for extracting explicit knowledge from the interaction of users within enterprises. Future of applications[edit]

The term "Semantic Internet" is often used more specifically to refer to the formats and technologies that enable it.[5] The collection, structuring and recovery of linked data are enabled by technologies that provide a formal description of concepts, terms, and relationships within a given knowledge domain. These technologies are specified as W3C standards and include:

Social bookmarking tools are rapidly emerging on the World wide web. Hinein such systems users are Schauplatz up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Ur approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of ur approach on three large Echt-world examples. @article jaeschke2008discovering, abstract = Social bookmarking tools are rapidly emerging on the Netz. Hinein such systems users are Schauplatz up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit.

ActivityPub, a generic way for client and server to communicate with each other. This is used by the popular decentralized social network Mastodon.

The knowledge graph construct has emerged to help developers and decision makers to more tightly constrain the development and application of the Semantic Internet standards. 

The Semantic Netz is a central activity of the World Wide Internet Consortium (W3C) for representing web information hinein a machine-readable fashion - such that it can Beryllium used by machines not just for display purposes, but for automation, integration, and reuse across applications.

Semantic Internet is an extension to the World Wide World wide web. The purpose of the semantic Netz is to provide structure to the web and data hinein general. It emphasizes on representing a Internet of data instead of World wide web of documents.

On that Web, it welches based on the interconnection of documents using hypertext Linke seite, new tools through the development of programming languages to the Web and its integration with database systemshave been created.

These standards aim to provide a Gleichförmig and interoperable way of representing and managing data and content so that it can Beryllium easily shared and reused across applications, enterprises and individuals.

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