Cyber-all-intel: An ai for security related threat intelligence
Thinking, fast and slow: Combining vector spaces and knowledge graphs
On Efficient Link Recommendation in Social Networks Using Actor‐Fact Matrices
Link recommendation is a popular research subject in the field of social network analysis
and mining. Often, the main emphasis is put on the development of new recommendation …
and mining. Often, the main emphasis is put on the development of new recommendation …
[PDF][PDF] Thinking fast, thinking slow! Combining knowledge graphs and vector spaces
Knowledge graphs and vector space models are both robust knowledge representation
techniques with their individual strengths and weaknesses. Vector space models excel at …
techniques with their individual strengths and weaknesses. Vector space models excel at …
[PDF][PDF] Collaborative filtering based on bi-relational data representation
Widely-referenced approaches to collaborative filtering (CF) are based on the use of an
input matrix that represents each user profile as a vector in a space of items and each item …
input matrix that represents each user profile as a vector in a space of items and each item …
Crowdsourced Linked Data Question Answering with AQUACOLD
N Collis, I Frommholz - 2021 ACM/IEEE Joint Conference on …, 2021 - ieeexplore.ieee.org
There is a need for Question Answering (QA) to return accurate answers to complex natural
language questions over Linked Data, improving the accessibility of Linked Data (LD) …
language questions over Linked Data, improving the accessibility of Linked Data (LD) …
Using virtual documents to move information retrieval and knowledge management closer together
While Information Retrieval approaches typically rely on a bag-of-word approach and are
therefore fairly shallow, Knowledge Management is based on a deep semantic …
therefore fairly shallow, Knowledge Management is based on a deep semantic …