TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic [PDF]
Publicly available social media archives facilitate research in the social sciences and provide corpora for training and testing a wide range of machine learning and natural language processing methods.
Dimitar Dimitrov +6 more
semanticscholar +1 more source
The Embedded Strategy of Enterprise Innovation Network Based on Knowledge Base [PDF]
Constructing the innovation network is an important means of breakthrough in the traditional manufacturers for the emerging e-commerce platform, based on two different levels of innovation network node, content and structure, YEATION and YOUPIN were ...
Li Chen Guang +2 more
doaj +1 more source
gMatch: Knowledge base question answering via semantic matching
Effectiveness is essential for knowledge base question answering (KBQA) to determine whether the query can return the correct answers. Existing works for KBQA mainly focus on converting input questions into corresponding logic formats, such as SPARQL ...
Wang, J +5 more
core +1 more source
OncoKB: A Precision Oncology Knowledge Base
Executive Summary PURPOSE With prospective clinical sequencing of tumors emerging as a mainstay in cancer care, there is an urgent need for a clinical support tool that distills the clinical implications associated with specific mutation events into a ...
D. Chakravarty +47 more
semanticscholar +1 more source
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion [PDF]
Knowledge graph embedding has been an active research topic for knowledge base completion, with progressive improvement from the initial TransE, TransH, DistMult et al to the current state-of-the-art ConvE.
Mingmin Zhen +4 more
semanticscholar +1 more source
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network [PDF]
In this paper, we propose a novel embedding model, named ConvKB, for knowledge base completion. Our model ConvKB advances state-of-the-art models by employing a convolutional neural network, so that it can capture global relationships and transitional ...
D. Q. Nguyen +3 more
semanticscholar +1 more source
Knowledge base about risk and safety of nuclear facilities to support analysts and decision-makers
Epistemic uncertainty (related to lack of knowledge), often found in the documentation of nuclear facility engineering projects, can affect the decision-making process of managers and analysts on safety and risk issues.
Antonio Souza Vieira Neto +5 more
doaj +1 more source
IMPLEMENTATION OF THE APPROACH TO ONTOLOGICAL MODELING OF THE MUSICAL SUPERGENRE “METAL”
Background. The relevance of the article is due to the development of modern ontological methods of structuring information and the need to systematize data in many new specific subject areas.
Дарія Зелінська +2 more
doaj +1 more source
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
Knowledge Graphs (KG) are multi-relational graphs consisting of entities as nodes and relations among them as typed edges. Goal of the Question Answering over KG (KGQA) task is to answer natural language queries posed over the KG. Multi-hop KGQA requires
Apoorv Saxena +2 more
semanticscholar +1 more source
Query-Based Multicontexts for Knowledge Base Browsing: an Evaluation [PDF]
Tane J, Cimiano P, Hitzler P. Query-Based Multicontexts for Knowledge Base Browsing: an Evaluation. In: Schärfe H, Hitzler P, Øhrstrøm P, eds. Conceptual Structures: Inspiration and Application: 14th International Conference on Conceptual Structures ...
Schärfe, Henrik +4 more
core +1 more source

