AI is capable of recognizing but not understanding in the modern day. When a child sees a picture of a “dog,” they can recognize it. Nonetheless, before AI can effectively recognize a “dog,” it must be fed a large amount of data with pattern recognition. The four major stages of AI development are computational intelligence, perceptual intelligence, cognitive intelligence, and conscious intelligence.
- Computational intelligence allows machines to save and compute data;
- Perceptual intelligence allows machines to listen, speak, see, and recognize objects; and
- Cognitive intelligence allows machines to comprehend and interpret information.
- Machines with conscious intelligence can self-learn and retain information.
AI’s perceptual intelligence has progressed significantly to this point, allowing face and speech recognition systems to pervade our daily lives via our mobile devices.
The next step is to improve AI’s cognitive intelligence, which will allow it to comprehend and analyse data, which will necessitate a significant amount of structured information. Robots prefer knowledge to be structured in a well-defined framework rather than humans being able to grasp incoherent text, photographs, and videos.
In order to do so, Google proposed the knowledge graph technology in 2012, which uses organised entities, concepts, relationships, and other features to represent human knowledge. This makes it possible for machines to understand and explain facts.
- For starters, documenting human knowledge across broad disciplines is not a task that can be accomplished by an institution, a firm, or even a nation on its own.
- Next, constructing a high-quality knowledge graph, from (a) knowledge extraction to (b) knowledge fusion to © knowledge processing to (d) updating existing knowledge graphs, is a labor-intensive and time-consuming task.
- Finally, the high costs of constructing a KG present a considerable barrier to entry into this sector.
Many companies are unable to construct their own KG to meet their goals and must rely on third-party KG to develop cognitive abilities, placing them at risk of fraudulently manipulated data, which will eventually affect their AI.
EpiK Protocol uses blockchain technology to construct a decentralised KG with secure storage, incentives, governance, and financial capabilities. This offers a trusted, multi-party collaboration platform where all trusted contributors are adequately compensated while human knowledge is irreversibly preserved at a low cost, widening the boundaries of today’s AI and ushering in a new era of AI.
EpiK Protocol utilises Filecoin’s decentralised storage technology to achieve trustworthy storage. The IPFS protocol, which is a peer-to-peer network for storing and exchanging data in a distributed system, is the foundation of Filecoin. The protocol combines the file systems of disparate devices and converts all files into a Merkle Trie structure, yielding a unique Root Hash.
IPFS, on the other hand, is lacking in both an incentive and an anti-fraud mechanism. Filecoin was created to improve on IPFS.
(i) creates Proof-of-Storage to incentivize its ecosystem, and
(ii) couples Zero-Knowledge Proof to create Proof-of-Replication (PoRep) and Proof-of-Spacetime (PoSt) to avoid frauds.
Filecoin allows international partners to self-organize their idle equipment into a uniform worldwide storage system without having to trust one another, even more so than standard distributed databases like Hadoop. All parties are allowed to store and access data without obtaining permission under the terms of the agreement.
In the same way that Ethereum describes a decentralised computation framework, Filecoin defines a decentralised storage framework. The Layer 1 network of Filecoin focuses on large file storage with low throughput as a universal storage framework that can handle a variety of storage application scenarios.
For efficient and dependable collaboration, the EpiK Protocol’s KG collaboration network will save most files as tiny bin-log files rather than large file storage. The EpiK protocol employs Filecoin core technology to create a Filecoin Layer 2 storage network for KG collaboration and to collect KG data on Layer 2 through various incentives, resulting in seamless integration between the two platforms. The KG data will then be continuously concatenated into large snapshot files and saved in the Filecoin network indefinitely.
The EpiK Protocol Layer 2 network preserves the Filecoin Layer 1 network’s trust while focusing on mutual cooperation to build KG data from many domains and save it as bin-log files in the EpiK Protocol network. Without the permission of a centralised organisation, anyone can access the bin-log files and run them locally to restore a graph database.
The Token Economy of the EpiK Protocol provides a safe incentive paradigm for its ecosystem. Tokenization makes use of blockchain technology to provide a new way to move money.
(i) tokens may be spent, transferred, and swapped, and
(ii) transactions are visible and immutable.
Tokenization is a programmable asset that can be used to transfer value at a minimal cost and without the need for third-party verification. The EpiK Protocol’s native token, EPK, is used to power the EpiK Token Economy. The EpiK Protocol establishes a collaborative relationship amongst the major actors in the KG network so that they can work together to build a knowledge graph while pursuing their own goals.
The key participants in EpiK Protocol ecosystems are Domain Experts, Bounty Hunters, Knowledge Nodes, and Knowledge Gateways. Domain Experts (DEs) are in charge of arranging and inspecting data in the Knowledge Bases (KGs).
Knowledge Nodes (KNs) profit by providing preservation space and bandwidth for knowledge graph data. The more money you make, the more data you save; the more money you make, the more data download traffic you have.
Users can obtain the most recent knowledge graph data through Knowledge Gateways (KGs). They must stake EPK in order to gain access to knowledge graph data. As the demand for knowledge graph data on EpiK develops, Knowledge Gateways and Knowledge Nodes will stake more EPK tokens. As a result, demand for EPK tokens increases, as does the value of EPK tokens.
Bounty Hunters earn money by gathering knowledge graph data, annotating it, and executing any additional duties assigned by Domain Experts.
Domain Experts (DEs) are primarily responsible for organising and inspecting data in the KGs. They also have the authority to add knowledge graph data, but only under rigorous supervision. Contributing high-quality knowledge graph data benefits Domain Experts.
EpiK Protocol’s dependable governance is built on Decentralized Autonomous Organization Technology (DAO), which employs blockchain technology to manage a decentralised organisation, enforcing rules with codes and ensuring data immutability to prevent data tampering.
Any issues that require internal governance can be resolved with DAO, which allows eligible people to vote on the results. As a result, if DAO technology is employed for governance, discrepancies will not be corrected immediately.
Two principles are upheld in the EpiK Protocol
· First, only those who are directly impacted can vote on the governance topic;
· second, the weighting of voting power varies depending on how severely the parties are affected.
Based on this, the EpiK Protocol divides the key participants into three groups: the Global Group, Storage Group, and Knowledge Group.
The Global Group is in charge of enforcing global parameters that protect the interests of all EPK token holders. At different stages of development, the EpiK Protocol’s reliance on each sort of participant fluctuates.EPK distribution to different participants must also be dynamically modified in order to adapt to dynamic changes in market demand. By locking up their EPK tokens, participants obtain the opportunity to vote in the Global Group.
EpiK Protocol’s trustworthy financial capabilities are based on Decentralized Financial Technology (DeFi). The bulk of cryptocurrency users currently own mainstream cryptos such as BTC and ETH.
On EpiK Protocol, a decentralised lending service will be made available, allowing these consumers to participate in EpiK’s decentralised knowledge graph economy with ease.
About EpiK Protocol
EpiK Protocol is a decentralised knowledge graph data sharing network based on blockchain technology. EpiK’s open source knowledge graph database allows anybody to contribute their knowledge, allowing users to act as both providers and consumers in the network.