Multiple Knowledge GraphDB (MKGDB)
We present MKGDB, a large-scale graph database created as a combination of multiple taxonomy backbones extracted from 5 existing knowledge graphs, namely: ConceptNet, DBpedia, WebIsAGraph, WordNet and the Wikipedia category hierarchy. MKGDB, thanks the versatility of the Neo4j graph database manager technology, is intended to favour and help the development of open-domain natural language processing applications relying on knowledge bases, such as information extraction, hypernymy discovery, topic clustering, and others. Our resource consists of a large hypernymy graph which counts more than 37 million nodes and more than 81 million hypernymy relations.
Code (0)
등록된 구현이 없습니다.
Tasks
ClusteringKnowledge GraphsSimilar Papers 제목 키워드 기반
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
Electronic health records (EHRs) are stored in various database systems with different database models on heterogeneous storage architectures, such as relational databases, document stores, or graph databases. These diff…
In-Context LearningSemantic bSDD: Improving the GraphQL, JSON and RDF Representations of buildingSmart Data Dictionary
The buildingSmart Data Dictionary (bSDD) is an important shared resource in the Architecture, Engineering, Construction, and Operations (AECO) domain. It is a collection of datasets ("domains") that define various classi…
Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries
Online knowledge libraries refer to the online data warehouses that systematically organize and categorize the knowledge-based information about different kinds of concepts and entities. In the era of big data, the setup…
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems
Many state-of-the-art natural language understanding (NLU) models are based on pretrained neural language models. These models often make inferences using information from multiple sources. An important class of such inf…
coreference-resolutionCoreference ResolutionNatural Language UnderstandingComparing Knowledge Source Integration Methods for Optimizing Healthcare Knowledge Fusion in Rescue Operation
In the field of medicine and healthcare, the utilization of medical expertise, based on medical knowledge combined with patients' health information is a life-critical challenge for patients and health professionals. The…