Semantic Knowledge Graphing Market 2021 Size, Status and Global Outlook | Google Inc., metaphacts GmbH, Stardog Union, Grakn Labs, Microsoft Corporation, LinkedIn.

A knowledge graph, also known as a semantic network, depicts the link between a network of real-world things, such as objects, events, situations, or concepts.



A knowledge graph, also known as a semantic network, depicts the link between a network of real-world things, such as objects, events, situations, or concepts. The name "knowledge graph" comes from the fact that this information is generally kept in a graph database and displayed as a graph structure.


A knowledge graph is a knowledge base that Google uses to improve its search engine results by combining semantic-search data from a variety of sources. It was first introduced to Google's search engine in 2012, with an initial release in the United States.


The Semantic Knowledge Graph market seeks to automatically extract and present domain knowledge from a set of documents typical of that area. The representation encodes the semantic relationship between various words, sentences, and concepts in such a way that those associations can provide new information about the interrelationships between all things in the domain.


The semantic knowledge graphing market may be used to uncover related terms within a domain, explain various meanings of a similar phrase, improve semantic search by expanding user searches to related keywords/phrases, and detect trending themes among time-series data, among other things.


Semantic knowledge graphs can serve as the foundation for any information architecture, allowing for entity-centric representations of data, goods, suppliers, workers, locations, and research subjects. Semantic graphs not only retrieve what is needed, but they also show the interrelationships between the various items, even if they aren't expressed explicitly. As a result, they assist in the conversion of unstructured data into usable information.


Traditional machine learning approaches are used in current semantic knowledge graphs. As a result, algorithms cannot reuse their results, and people cannot readily comprehend them. The quantity of data being uploaded to the World Wide Web on a daily basis is unimaginable. Semantic knowledge graphing is not progressing at the rate that is necessary.


The major Key players operating in the global semantic knowledge graphing market include Google Inc., metaphacts GmbH, Stardog Union, Grakn Labs, Microsoft Corporation, LinkedIn, Semantic Web Company, Baidu, Yandex, Wolfram Alpha, and Ontotext.

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