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Building and Exploring an Enterprise Knowledge Graph for Investment Analysis
[chapter]
2016
Lecture Notes in Computer Science
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Knowledge Graph (KG) was first introduced by Google to empower its search. The big success of knowledge graph attracts many attentions from other internet companies as well as traditional industries. ...
Deployment of KG in ZhouShan Library We build an integrated tool 7 with three key components namely knowledge integration module, knowledge store module, and knowledge access module. ...
doi:10.1007/978-3-319-46547-0_35
fatcat:jrwf3bkz5fgyvk7jg6ibagg2mm
Learning of Knowledge Graphs with Entity Descriptions
2022
Zenodo
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In fact, most of the method usually concern of description of entity which is hard for existing strategies to take benefit of. ...
The representing learning makes specialty of knowledge graph and it indicates the difference between different entities. The knowledge graph representing with the low-dimensional space. ...
For instance, in this description the basic strategies aren't always trivial for the knowledge graph and representing the learning graph but the shows the strategies to make use the entity instance(C. ...
doi:10.5281/zenodo.6008531
fatcat:k5i6taho7nhfveojv46zpbyoqm
Elevating Data to Knowledge: Practical Approach to Weave Knowledge Graph Technology in Enterprise Data Architecture
2021
Zenodo
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Knowledge Graph Opportunities Knowledge Graphs help elevate data to knowledge by adding meaning/context and connecting more dots in a single graph, foundation for a digital brain to mimic human intelligence ...
Developers seamlessly
integrate KE into their apps
Semantics in App/Service Logic
Tax Knowledge Engine -Expand on Proven Success
13
Best Practices -Value Proposition
14
Semantics in Fit-for-Purpose ...
doi:10.5281/zenodo.4903186
fatcat:ubhowmciwrhzpjtv4hd6kihkxa
Strategic Management Model of Network Organization Based on Artificial Intelligence and Modular Enterprise Big Data
2021
Mobile Information Systems
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The integration and application of internal knowledge resources also force enterprises to adjust their structure, so that knowledge can spread and create value within the enterprise more effectively. ...
This paper, based on artificial intelligence and modular enterprise big data, constructs a matching model of corporate strategy and performance management mode, determines four different matching methods ...
Knowledge management includes processes such as the acquisition of knowledge, the integration and application of knowledge by enterprises, and the application of knowledge. ...
doi:10.1155/2021/1987430
fatcat:trv5rdtk3nez7kp7a7rnlgc7rm
From Card Sorting to Data Automation: PoolParty—A Complete Semantic Middleware
2020
Zenodo
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We outline some of the core features and capabilities of PoolParty Semantic Suite along the enterprise knowledge graph life cycle (EKG-LC), which provides also a comprehensive overview of the actors and ...
agents involved during the most important operational steps for the (ongoing) development of the graph. ...
Solution PoolParty Semantic Suite helped them offer a more personalized online experience for their customers with an Enterprise Knowledge Graph. ...
doi:10.5281/zenodo.3820251
fatcat:sd2f7frlpvgs5hekqbq67gv4mu
Correlation Analysis Model of Social Capital and Innovation Performance Based on Knowledge Mapping
2022
Computational Intelligence and Neuroscience
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In this paper, the correlation between social capital and innovation performance is analyzed using a knowledge graph approach, and a correlation analysis model is designed for practical use. ...
a cross-attention fusion-based knowledge graph recommendation algorithm (CAKR). ...
In this work, a BLS system based on conditional knowledge graph representation learning is proposed, with a core architecture of multi-encoder for incorporating multilayer conditional knowledge graphs ...
doi:10.1155/2022/2138200
pmid:35707194
pmcid:PMC9192253
fatcat:pnwdzi3nczadffpb4r3i24zdy4
How A Knowledge Graph Became The Focal Point Of The Internal Knowledge Hub In A Software Company
2022
Zenodo
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This presentation provides deep insights into the methodology used to develop the Semantic Web Company's Knowledge Hub as a core element of a broader knowledge management strategy. ...
Implicit Knowledge Understanding of concepts, principles, theories, models, classifications, etc. ▸ Integration of the knowledge graph as a service. ...
Knowledge graphs serve as a basis for the provision of active metadata and precise business semantics. ...
doi:10.5281/zenodo.6522636
fatcat:2wt6fgabdfe53e5y4wkksp3dzi
A Literature Review on Innovation-Driven Development in China-----Based on Citespace 5.3 Knowledge Graph Analysis
2019
International Journal of Humanities and Social Science
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After searching research papers with the topic of innovation-driven development (1998 to 2018) from Chinese Social Sciences Citation Index, we generate knowledge graphs produced by Citespace5.3 to conclude ...
Innovation-driven development is one of the most important strategies in many countries and thus related study on it matters. ...
Graph 2 Keywords clustering graph of innovation-driven development First, research on innovation-driven development strategy. ...
doi:10.30845/ijhss.v9n1p15
fatcat:aehut7cy65cbhppjo6dgj3ugce
Application of Extension Strategy Generation System Algorithm in Chemical Enterprise Management
2018
Chemical Engineering Transactions
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It provides an important reference for solving the problems in the enterprise management process. ...
but also provide effective guarantees for promoting the long-term sound development of enterprises. ...
It provides a good idea and foundation for chemical enterprise extension strategy management. ...
doi:10.3303/cet1866245
doaj:6430896621a84e979ca82af7843102a5
fatcat:nu5pvcri3zgr3fcvxo2dlmwgnm
A review of ontologies with the Semantic Web in view
2001
Journal of information science
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Ontologies are the backbone for this Semantic Web. This paper aims to introduce and give the readers an overview of ontology in general. ...
The components of the Enterprise Toolset are: a Procedure Builder for capturing process models, an Agent Toolkit for supporting the development of agents, a Task Manager for integration, visualization, ...
and resource -terms related to processes and planning; (3) organization -terms related to how organizations are structured; (4) strategy -terms related to high level planning for an enterprise; and (5 ...
doi:10.1177/016555150102700603
fatcat:q54skcm2ezcuxajee63hteoawa
Enterprise Knowledge Graph Foundation
2020
Zenodo
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Launch presentation of the Enterprise Knowledge Graph Foundation A non-profit organization to help accelerate adoption of semantic standards, promote data interoperability and facilitate reuse. ...
storage, integration and deployment of data
DataOps Process Rules and standards for building, testing, deploying and maintaining the enterprise knowledge graph
End-User Tools The ability of end users ...
Key proficiencies required to design, build, operate and manage the EKG product suite
Resourcing Organizational, financial and human resource plans for implementation of the enterprise knowledge graph ...
doi:10.5281/zenodo.3874814
fatcat:ucyjjewlsfcbnersz3tokd76ti
THE USE OF FUZZY COGNITIVE MODELS FOR DIAGNOSTICS OF PROBABILITY OF ENTERPRISES' BANKRUPTCY
2013
Modern Management Review
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The result of cognitive diagnosis is to determine the probability of enterprises' bankruptcy based on integral indicator of probability of bankruptcy, which reflects the management level in five directions ...
Cognitive diagnostic of probability of bankruptcy is aimed to obtaining knowledge of processes of business entity's activities based on a study of quantitative and qualitative indicators with a purpose ...
situations' functioning and methods of management strategies for such situations [6] . ...
doi:10.7862/rz.2013.mmr.30
fatcat:5y3e4d7ohzdordkrskkyju4iim
D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks
[article]
2020
arXiv
pre-print
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These strategies integrate real-world adversarial actions (e.g., privilege escalation) to generate attack paths: a series of compromised machines. ...
We systematically address these problems through D2M, the first framework that models lateral attacks on enterprise networks using multiple attack strategies developed with researchers, engineers, and ...
However, this form of topological vulnerability scoring can only indirectly measure the vulnerability of the graph to lateral movement since no security domain knowledge is integrated. ...
arXiv:2001.11108v1
fatcat:zh4rmd3jyrejnozx2ko54uf3bm
Goal-Oriented Requirements Engineering: A Unifying Framework
2002
Requirements Engineering
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The directed nature of the graph indicates the way one might progress from one knowledge state to the next. ...
and documenting knowledge about the As-Is enterprise state. ...
doi:10.1007/pl00010362
fatcat:pyvltkxvlzghvfgij7pwjvza5a
Enhancement of Power Equipment Management Using Knowledge Graph
[article]
2019
arXiv
pre-print
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This study proposes an approach for constructing power equipment knowledge graph by merging existing multi-source heterogeneous power equipment related data. ...
Knowledge graph has been widely developed in large part owing to its schema-less nature. ...
KNOWLEDGE GRAPH CREATION FOR POWER EQUIPMENT Knowledge graph is usually divided into two categories: general knowledge graph and enterprise knowledge graph. ...
arXiv:1904.12242v1
fatcat:yxtuzpaagjemholbqr36s3iqym
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