Finance Knowledge Graph Extension Knowledge Model
Overview
The Finance Knowledge Graph Extension Knowledge Model (display name: Finance Knowledge Graph Extension EN v#) performs semantic analysis similarly to the NLP Core model, but based on a Knowledge Graph for English that's been enriched with thousands of finance-related concepts.
Extraction
The model is used to obtain a semantic analysis with a better ability to recognize finance-related concepts, but it also performs information extraction. Extracted classes correspond to the concepts that have been added to the Knowledge Graph: this allows using the model to easily predict concepts in the finance domain, possibly ignoring the outcome of semantic analysis.
The extraction group is named CONCEPT and has these classes:
| Class | Description |
|---|---|
| KGE_ID | Syncon ID. In expert.ai terminoloy, a syncon is the representation of a concept inside the Knowledge Graph |
| KGE_CONCEPT | Main lemma used to express the concept |
Output structure
The model output has the same structure as any other model and is affected by the functional options of the workflow block.
Extracted information is returned in the extractions array.
Example
Considering the following text:
ATLANTA, NEW YORK & HONG KONG--(BUSINESS WIRE)-- Intercontinental Exchange, Inc. (NYSE: ICE), a leading global provider of data, technology and market infrastructure, today announced that KB Securities has selected the NYSE FANG+Daily 2x Leveraged Index (Interest Rate Adjusted Total Return) for its KB Leverage FANG Plus ETN(H).
The NYSE FANG+Daily 2x Leveraged Index (Interest Rate Adjusted TR) delivers a daily return that is approximately twice that of the NYSE FANG+ Index (Total Return) with the application of an overnight interest rate to account for the leverage. The NYSE FANG+ Index (TR) is an equal-dollar weighted index with the objective of tracking the performance of highly-traded growth stocks of technology and tech-enabled companies in the technology, media & communications and consumer discretionary sectors. The KB Leverage FANG Plus ETN(H) began trading on April 19, 2022.
KB Securities, a wholly owned subsidiary of KB Financial Group, is a leading investment bank in Korea that provides asset management services to retail customers as well as financing advisory and investment services to corporate customers. KB Securities is committed to providing investment products that are tailored to their clients' demands across various asset classes.
"This new ETN will allow Korean market participants to access key "FAANG" stocks, such as Facebook (Meta Platforms), Apple, Amazon, Netflix and Google (Alphabet), through a single instrument", said Magnus Cattan, Head of ICE Fixed Income & Data Services, Asia Pacific. "We are pleased to have worked with one of Korea's largest investment banks to launch the first ETN that tracks an ICE index in the country".
"The KB Leverage FANG Plus ETN(H) will provide our investors access to some of the most recognizable companies in the world", said Ho Young Kim, Head of Equity Trading at KB Securities. "We believe that this product offers Korean market participants a unique tool to capture the performance of U.S. listed technology and tech-enabled companies".
ICE's global family of indices serve as the performance benchmark for $1.5 trillion in fund assets managed by investors around the globe. For more information about ICE's Indices, please visit: https://www.theice.com/market-data/indices.
About Intercontinental Exchange
Intercontinental Exchange, Inc. (NYSE: ICE) is a Fortune 500 company that designs, builds and operates digital networks to connect people to opportunity. We provide financial technology and data services across major asset classes that offer our customers access to mission-critical workflow tools that increase transparency and operational efficiencies. We operate exchanges, including the New York Stock Exchange, and clearing houses that help people invest, raise capital and manage risk across multiple asset classes. Our comprehensive fixed income data services and execution capabilities provide information, analytics and platforms that help our customers capitalize on opportunities and operate more efficiently. At ICE Mortgage Technology, we are transforming and digitizing the U.S. residential mortgage process, from consumer engagement through loan registration. Together, we transform, streamline and automate industries to connect our customers to opportunity.
the extraction part of the output is:
"extractions": [
{
"fields": [
{
"name": "KGE_CONCEPT",
"positions": [
{
"end": 325,
"start": 322
},
{
"end": 859,
"start": 856
},
{
"end": 1283,
"start": 1280
},
{
"end": 1638,
"start": 1635
},
{
"end": 1711,
"start": 1708
}
],
"value": "ETN"
},
{
"name": "KGE_ID",
"positions": [
{
"end": 325,
"start": 322
},
{
"end": 859,
"start": 856
},
{
"end": 1283,
"start": 1280
},
{
"end": 1638,
"start": 1635
},
{
"end": 1711,
"start": 1708
}
],
"value": "8000705"
}
],
"namespace": "kge_finance",
"template": "CONCEPT"
},
{
"fields": [
{
"name": "KGE_CONCEPT",
"positions": [
{
"end": 820,
"start": 798
}
],
"value": "consumer discretionary"
},
{
"name": "KGE_ID",
"positions": [
{
"end": 820,
"start": 798
}
],
"value": "8000395"
}
],
"namespace": "kge_finance",
"template": "CONCEPT"
},
{
"fields": [
{
"name": "KGE_CONCEPT",
"positions": [
{
"end": 1195,
"start": 1176
}
],
"value": "investment product"
},
{
"name": "KGE_ID",
"positions": [
{
"end": 1195,
"start": 1176
}
],
"value": "8001461"
}
],
"namespace": "kge_finance",
"template": "CONCEPT"
},
{
"fields": [
{
"name": "KGE_CONCEPT",
"positions": [
{
"end": 1268,
"start": 1255
},
{
"end": 2527,
"start": 2514
},
{
"end": 2817,
"start": 2804
}
],
"value": "asset class"
},
{
"name": "KGE_ID",
"positions": [
{
"end": 1268,
"start": 1255
},
{
"end": 2527,
"start": 2514
},
{
"end": 2817,
"start": 2804
}
],
"value": "8000163"
}
],
"namespace": "kge_finance",
"template": "CONCEPT"
},
{
"fields": [
{
"name": "KGE_CONCEPT",
"positions": [
{
"end": 2482,
"start": 2462
}
],
"value": "financial technology"
},
{
"name": "KGE_ID",
"positions": [
{
"end": 2482,
"start": 2462
}
],
"value": "8000791"
}
],
"namespace": "kge_finance",
"template": "CONCEPT"
},
{
"fields": [
{
"name": "KGE_CONCEPT",
"positions": [
{
"end": 2650,
"start": 2626
}
],
"value": "operational efficiency"
},
{
"name": "KGE_ID",
"positions": [
{
"end": 2650,
"start": 2626
}
],
"value": "8002263"
}
],
"namespace": "kge_finance",
"template": "CONCEPT"
}
]
Note
If you are familiar with Platform extraction projects, the template key in this model's output corresponds to the concept of group and template fields correspond to classes.