A Schema-Driven Synthetic Knowledge Graph Generation Approach With Extended Graph Differential Dependencies (GDDxs)
- Computer ScienceIEEE Access
The results from the experiments show that the KG generation method can generate KGs that exhibit the desired graph patterns, node attributes and degree distributions associated with each entity type in the graph’s schema.
Credibility Analysis in Social Big Data
- Computer ScienceSocial Big Data Analytics
This chapter presents an overview of the notion of credibility in the context of SBD and lists an array of approaches to measure and evaluate the trustworthiness of users and their contents.
Defining a Knowledge Graph Development Process Through a Systematic Review
- BusinessACM Transactions on Software Engineering and Methodology
Knowledge graphs are widely used in industry and studied within the academic community. However, the models applied in the development of knowledge graphs vary. Analysing and providing a synthesis of…
Emotion detection of social data: APIs comparative study
- Computer ScienceArXiv
This study compares eight technologies: IBM Watson NLU, ParallelDots, Symanto – Ekman, Crystalfeel, Text to Emotion, Senpy, Textprobe, and NLP Cloud to assess the performance of these APIs incorporating the evaluation measures.
A Scholarly Knowledge Graph-Powered Dashboard: Implementation and User Evaluation
- Computer ScienceFrontiers in research metrics and analytics
A dashboard is presented, which visualizes the research contributions on an educational science topic in the frame of the Open Research Knowledge Graph (ORKG), which can be used for the development of scholarly knowledge graph-powered dashboards in different domains.
Contexts and contradictions: a roadmap for computational drug repurposing with knowledge inference.
- BiologyBriefings in bioinformatics
Challenges to creating literature-scale representations of pharmacological knowledge are described and current approaches toward incorporating context and resolving contradictions are surveyed.
Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities
- Computer ScienceArXiv
This paper is the first to provide a comprehensive taxonomy and a bird's eye view of healthcare KG construction and critically evaluated the current state-of-the-art techniques drawn from academic works relevant to various healthcare contexts.
Building Narrative Structures from Knowledge Graphs
. Humans constantly create narratives to provide explanations for how and why something happens. Designing systems able to build such narratives would therefore contribute to building more…
Building A Knowledge Graph for Audit Information
- Computer ScienceEDBT/ICDT Workshops
From the experience of creating a knowledge graph for the auditing domain, a set of observations on the limits of automatic methods for the construction of audit KGs are derived and a possible direction to address them is presented.
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges
- Computer ScienceArXiv
Existing KGC approaches are discussed, including the state-of-the-art Knowledge Graph Embeddings (KGE), not only on static graphs but also for the latest trends such as multimodal, temporal, and uncertain knowledge graphs.
SHOWING 1-10 OF 265 REFERENCES
What Are the Parameters that Affect the Construction of a Knowledge Graph?
- Computer ScienceOTM Conferences
This paper analyzes and empirically studies a set of variables and configurations that impact on the behaviour of two state-of-the-art engines that interpret the RDF Mapping Language (RML) and transform (semi)-structured data into RDF knowledge graphs.
Revisiting Evaluation of Knowledge Base Completion Models
- Computer ScienceAKBC
A semi-complete KG is gathered, using a random subgraph from the test and validation data of YAGO3-10, which enables us to compute accurate triple classification accuracy on this data, and the shortcomings of these evaluation metrics are studied.
Towards a Definition of Knowledge Graphs
- Computer ScienceSEMANTiCS
This work discusses and defines the term knowledge graph, considering its history and diversity in interpretations and use, and proposes a definition of knowledge graphs that serves as basis for discussions on this topic and contributes to a common vision.
Knowledge graph refinement: A survey of approaches and evaluation methods
- Computer ScienceSemantic Web
A survey of such knowledge graph refinement approaches, with a dual look at both the methods being proposed as well as the evaluation methodologies used.
A Practical Framework for Evaluating the Quality of Knowledge Graph
- Computer ScienceCCKS
This paper proposed a practical framework for evaluating quality on “fit for purpose” of knowledge graphs and selected a set of quality dimensions and their corresponding metrics based on the requirements of knowledge discovery based on knowledge graphs through systematic investigation of representative published applications.
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
- Computer ScienceIEEE Transactions on Neural Networks and Learning Systems
A comprehensive review of the knowledge graph covering overall research topics about: 1) knowledge graph representation learning; 2) knowledge acquisition and completion; 3) temporal knowledge graph; and 4) knowledge-aware applications and summarize recent breakthroughs and perspective directions to facilitate future research.
Knowledge Graph Embedding: A Survey of Approaches and Applications
- Computer ScienceIEEE Transactions on Knowledge and Data Engineering
This article provides a systematic review of existing techniques of Knowledge graph embedding, including not only the state-of-the-arts but also those with latest trends, based on the type of information used in the embedding task.
Towards Knowledge Graph Construction from Entity Co-occurrence
- Computer ScienceEKAW
This work wants to explore the potential of co-occurrence patterns in varying contexts and test their generality when applying them to the Document Web, and shows how the three-phased approach for the extraction ofco-occurring patterns fits in.
DKGBuilder: An Architecture for Building a Domain Knowledge Graph from Scratch
- Computer ScienceDASFAA
A domain knowledge graph construction system DKGBuilder is presented, which utilizes a template-based approach to extract seed knowledge from semi-structured data and employs an is-a relation classifier to learn a domain taxonomy using a bottom-up strategy.
Expert-Guided Entity Extraction using Expressive Rules
- Computer ScienceSIGIR
This paper presents a system that allows domain experts to construct knowledge graphs by writing sophisticated rule-based entity extractors with minimal training, using a GUI-based editor that offers a range of complex facilities.