An overview on generative AI at scale with Edge-Cloud Computing
As a specific category of artificial intelligence (AI), generative artificial intelligence (GenAI)
generates new content that resembles what humans create. The rapid development of …
generates new content that resembles what humans create. The rapid development of …
Efficient GAN-based method for extractive summarization
Background and Objectives: Text summarization plays an essential role in reducing time
and cost in many domains such as medicine, engineering, etc. On the other hand, manual …
and cost in many domains such as medicine, engineering, etc. On the other hand, manual …
[PDF][PDF] Knowledge graph exploration systems: are we lost?
Knowledge graphs (KGs) represent facts in the form of nodes and relationships and are
widely used to represent and share knowledge in many different domains. However, their …
widely used to represent and share knowledge in many different domains. However, their …
FREDE: anytime graph embeddings
Low-dimensional representations, or embeddings, of a graph's nodes facilitate several
practical data science and data engineering tasks. As such embeddings rely, explicitly or …
practical data science and data engineering tasks. As such embeddings rely, explicitly or …
[PDF][PDF] Constructing product usage context knowledge graph using user-generated content for user-driven customization
User-driven customization is a particular design paradigm where customers act as co-
designers to configure products based on their needs. However, due to insufficient product …
designers to configure products based on their needs. However, due to insufficient product …
What is normal, what is strange, and what is missing in a knowledge graph: Unified characterization via inductive summarization
Knowledge graphs (KGs) store highly heterogeneous information about the world in the
structure of a graph, and are useful for tasks such as question answering and reasoning …
structure of a graph, and are useful for tasks such as question answering and reasoning …
Summer: Structural summarization for RDF/S kgs
Knowledge graphs are becoming more and more prevalent on the web, ranging from small
taxonomies, to large knowledge bases containing a vast amount of information. To construct …
taxonomies, to large knowledge bases containing a vast amount of information. To construct …
Personal knowledge graphs: Use cases in e-learning platforms
E Ilkou - Companion Proceedings of the Web Conference 2022, 2022 - dl.acm.org
Personal Knowledge Graphs (PKGs) are introduced by the semantic web community as
small-sized user-centric knowledge graphs (KGs). PKGs fill the gap of personalised …
small-sized user-centric knowledge graphs (KGs). PKGs fill the gap of personalised …