Automatic Construction of Enterprise Knowledge Base
In this paper, we present an automatic knowledge base construction system from large scale enterprise documents with minimal efforts of human intervention. In the design and deployment of such a knowledge mining system for enterprise, we faced several challenges including data distributional shift, performance evaluation, compliance requirements and other practical issues. We leveraged state-of-the-art deep learning models to extract information (named entities and definitions) at per document level, then further applied classical machine learning techniques to process global statistical information to improve the knowledge base. Experimental results are reported on actual enterprise documents. This system is currently serving as part of a Microsoft 365 service.
Code (0)
등록된 구현이 없습니다.
Tasks
Knowledge Base ConstructionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
We present Enterprise Alexandria, one of the core AI technologies behind Microsoft Viva Topics. Enterprise Alexandria is a new system for automatically constructing a knowledge base with high-precision and typed entities…
Knowledge Base ConstructionEnterprise domain ontology learning from web-based corpus
Enterprise knowledge is a key asset in the competing and fast-changing corporate landscape. The ability to learn, store and distribute implicit and explicit knowledge can be the difference between success and failure. Wh…
ManagementUncertainty Management in the Construction of Knowledge Graphs: a Survey
Knowledge Graphs (KGs) are a major asset for companies thanks to their great flexibility in data representation and their numerous applications, e.g., vocabulary sharing, Q/A or recommendation systems. To build a KG it i…
Knowledge GraphsManagementRecommendation SystemsSurvey+1Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing
Knowledge management is a critical challenge for enterprises in today's digital world, as the volume and complexity of data being generated and collected continue to grow incessantly. Knowledge graphs (KG) emerged as a p…
Knowledge GraphsManagementLLM-Driven Ontology Construction for Enterprise Knowledge Graphs
Enterprise Knowledge Graphs have become essential for unifying heterogeneous data and enforcing semantic governance. However, the construction of their underlying ontologies remains a resource-intensive, manual process t…
Knowledge Graphs