Increasing Consumer Awareness to Fuel Adoption of Semantic Knowledge Graphing Market

Semantic Knowledge Graphing Market Overview
A knowledge graph is a knowledge base utilised by Google to optimise its search engine results with semantic-search information taken from many sources. It was added to Google’s search engine in 2012 with the initial rollout in its home market, the United States. The Semantic Knowledge Graph market aims at extracting and presenting the knowledge of a specific domain automatically from a group of documents representative of that domain. The representation encodes the semantic relationship between different words, phrases and concepts such that those relationships can expose new information about the interrelationships between all entities in that domain.
The semantic knowledge graphing market has numerous applications like being used to discover related terms within a domain, explain multiple meanings of a similar phrase, boost semantic search by expanding user queries to related keywords/ phrases, and identifying trending topics among time-series data. It can also build a recommendation engine based on content, perform data cleansing by scoring each item according to relevance, summarise documents by judging the importance of each phrase and entity within the document and do a predictive analysis of time-series data.
To remain ‘ahead’ of your competitors, request for a sample here@ https://www.persistencemarketresearch.com/samples/20017
Semantic Knowledge Graphing Market Drivers
A key driver of the semantic knowledge graphing market is the sheer volume of data available on search engines. According to Internet Live Stats, there are approximately 1.11 billion websites live as of 2016 with hundreds more being added every minute. It can be extremely challenging for website owners to reach their target market or even customers to find the exact data they are looking for. Semantic knowledge graphs can act as the backbone of any information architecture, enabling entity-centric views on information, data, products, suppliers, employees, locations and research topics. Semantic graphs not only retrieve what is required but also provide the interrelations between the various objects, even if not stated in explicit terms. They thus help in converting unorganized data into useful information.
The second driver of the semantic knowledge graphing market is the occasional personalization of information required. For e.g. - Some drugs might have regulatory aspects, a unique therapeutic character and an entirely different meaning to product managers or salespeople. At a given time, an individual might only require a certain aspect of information which is relevant in that particular situation. This personalised information processing requires a semantic layer on top of the data layer, particularly when the information is stored in different forms and scattered in several different repositories. Semantic knowledge graph engines can link similar content and documents related to one another in a highly precise manner.
Semantic Knowledge Graphing Market Restraints
Current semantic knowledge graphs rely on traditional machine learning methods. Thus, their results are not reusable by algorithms and neither can humans easily interpret them. The amount of information being added to the World Wide Web daily is beyond the realm of imagination. Semantic knowledge graphing is not evolving anywhere near as rapidly as required.
Semantic Knowledge Graphing Market Key Regions
China currently has the world’s largest online population, followed by the U.S. which makes these two countries the largest semantic knowledge graphing markets. India is expected to outpace the U.S within this decade and should be a key focus for companies offering semantic knowledge graphs.
Semantic Knowledge Graphing Market Key Market Players
Some companies in the semantic knowledge graphing markets are Microsoft Bing’s Satori Knowledge Base, Yandex's Object Answer, LinkedIn's Knowledge Graph and Google’s Knowledge Graph.
The research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, and statistically supported and industry-validated market data. It also contains projections using a suitable set of assumptions and methodologies. The research report provides analysis and information according to market segments such as geographies, types and applications.
To receive extensive list of important regions, ask for TOC here@ https://www.persistencemarketresearch.com/toc/20017
The report covers exhaustive analysis on:
• Market Segments
• Market Dynamics
• Market Size
• Supply & Demand
• Current Trends/Issues/Challenges
• Competition & Companies involved
• Technology
• Value Chain
Regional analysis includes:
• North America (U.S., Canada)
• Latin America (Mexico. Brazil)
• Western Europe (Germany, Italy, France, U.K, Spain)
• Eastern Europe (Poland, Russia)
• Asia Pacific (China, India, ASEAN, Australia & New Zealand)
• Japan
• Middle East and Africa (GCC, S. Africa, N. Africa)

Contact us: 305 Broadway, 7th Floor
New York City, NY 10007 United States
Ph.no. +1-646-568-7751
E-mail id- sales@persistencemarketresearch.comWebsite: https://www.persistencemarketresearch.com

About us: Persistence Market Research (PMR) is a third-platform research firm. Our research model is a unique collaboration of data analytics and market research methodology to help businesses achieve optimal performance.To support companies in overcoming complex business challenges, we follow a multi-disciplinary approach. At PMR, we unite various data streams from multi-dimensional sources. By deploying real-time data collection, big data, and customer experience analytics, we deliver business intelligence for organizations of all sizes.Our client success stories feature a range of clients from Fortune 500 companies to fast-growing startups. PMR’s collaborative environment is committed to building industry-specific solutions by transforming data from multiple streams into a strategic asset.

This release was published on openPR.