Actively learning to rank semantic associations for personalized contextual exploration of knowledge graphs
Abstract Knowledge Graphs (KG) represent a large amount of Semantic Associations (SAs),
ie, chains of relations that may reveal interesting and unknown connections between …
ie, chains of relations that may reveal interesting and unknown connections between …
Expanrl: Hierarchical reinforcement learning for course concept expansion in MOOCs
Within the prosperity of Massive Open Online Courses (MOOCs), the education applications
that automatically provide extracurricular knowledge for MOOC users become rising …
that automatically provide extracurricular knowledge for MOOC users become rising …
Generating semantic snapshots of newscasts using entity expansion
TV newscasts report about the latest event-related facts occurring in the world. Relying
exclusively on them is, however, insufficient to fully grasp the context of the story being …
exclusively on them is, however, insufficient to fully grasp the context of the story being …
Delivering related web content synchronized to online television: The LinkedTV solution
LJB Nixon - 2015 IEEE 5th International Conference on …, 2015 - ieeexplore.ieee.org
This paper describes a solution for synchronized delivery of Web content related to objects
and topics present in a parallel online television programme, which we call" Linked …
and topics present in a parallel online television programme, which we call" Linked …
[PDF][PDF] Combining serendipity and active learning for personalized contextual exploration of knowledge graphs
F Bianchia, MPM Cremaschia, E Fersinia - Semantic Web, 2017 - semantic-web-journal.net
Knowledge Graphs (KG) represent a large amount of Semantic Associations (SAs), ie,
chains of relations that may reveal interesting and unknown connections between different …
chains of relations that may reveal interesting and unknown connections between different …
Capturing news stories once, retelling a thousand ways
We live in a constantly evolving world where news stories and relevant facts are happening
every moment. For each of those stories, numerous news articles, posts, and social media …
every moment. For each of those stories, numerous news articles, posts, and social media …
[PDF][PDF] LinkedTV News: A dual mode second screen companion for web-enriched news broadcasts
The European project LinkedTV aims to integrate television content with Web content
through the use of automated techniques such as named entity extraction and semantic …
through the use of automated techniques such as named entity extraction and semantic …
[PDF][PDF] Combining Serendipity and Active Learning for Personalized Exploration of Knowledge Graphs
Knowledge Graphs (KG) are now a widely used knowledge representation method and
contain a large number of Semantic Associations (SAs), ie, chains of relations that may …
contain a large number of Semantic Associations (SAs), ie, chains of relations that may …
The Concentric Nature of News Semantic Snapshots: Knowledge Extraction for Semantic Annotation of News Items
The Web enables to have access to silo-ed information describing news articles, often
offering a multitude of viewpoints that, once combined, can provide a broader picture of the …
offering a multitude of viewpoints that, once combined, can provide a broader picture of the …
[PDF][PDF] The Concentric Nature of News Semantic Snapshots
The Web enables to have access to silo-ed information describing news articles, often
offering a multitude of viewpoints that, once combined, can provide a broader picture of the …
offering a multitude of viewpoints that, once combined, can provide a broader picture of the …