Global Knowledge Graph Market Size, Share, Opportunities Report & Forecast 2023-2029
Global Knowledge Graph Market
A Knowledge Graph is a structured representation of knowledge that captures information in a way that is understandable for both humans and machines. It is a form of knowledge representation that connects entities, concepts, and their relationships to create a graph-like structure.
The global Knowledge Graph revenue was US$ million in 2022 and is forecast to a readjusted size of US$ million by 2029 with a CAGR of % during the review period (2023-2029).
Get a sample copy of this report: Knowledge Graph Market
Key characteristics of a Knowledge Graph include:
Entities: Entities encompass a wide range of objects, concepts, or individuals within the knowledge domain, spanning from people and places to abstract concepts and specific data instances.
Relationships: Relationships establish connections and associations between entities, often featuring properties and attributes that provide context to these connections.
Attributes or Properties: Attributes supply extra information linked to entities and relationships in the graph, furnishing metadata and descriptive details about them.
By Company:
iFLYTEK Open Platform , Smartech , Tongdun Technology Indonesia , Grand Data Technolgy , Knowlegene, Suoxinda Holdings, MingGlamp Technology, Star Graph, Utry Information, 太极计算机股份有限公司
Segment by Type:
Segment by Application:
???????? ???????? ?????????? ???????? ???????????? (??????????????????????, ??????, ?????? ???????? ???? ???????????? ?????? ??????????????): Knowledge Graph Market
Knowledge Graphs have gained popularity for their ability to organize and represent vast amounts of information in a semantically rich and interconnected manner. They are used in various applications, including:
Semantic Search: Knowledge Graphs can enhance search engines by providing more contextually relevant results based on the relationships between entities and concepts.
领英推荐
Recommendation Systems: They are employed to suggest products, services, or content by comprehending user preferences and item associations.
Data Integration: Knowledge Graphs aid in integrating data from various sources by aligning disparate data to a unified schema, simplifying data querying and analysis.
Natural Language Processing: In natural language processing (NLP), Knowledge Graphs are valuable for disambiguating and comprehending the meanings of words and phrases through their connections within the graph.
Question Answering: Knowledge Graphs can be employed to answer questions by retrieving relevant information from the graph.
Google's Knowledge Graph, a prominent large-scale implementation, enhances Google Search by offering insights into entities and their connections. Other institutions and research initiatives have also crafted their Knowledge Graphs for domain-specific knowledge representation.
In summary, Knowledge Graphs are potent tools for structuring and harnessing data and find applications across diverse fields, such as artificial intelligence, data analytics, and knowledge management.
Related Topics:
Note:
- Custom research reports can be available upon request.
- If you wish to request a discount, please refer to the discount link on our website or send an email [email protected].
Contact Us:
Pragma Market Research,
+1 425 230 0999