38 citations · 275 across the 37 of their papers we have counts for
9 papers · 1 filter
Expedition: A Time-Aware Exploratory Search System Designed for Scholars
Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
Archives are an important source of study for various scholars. Digitization and the web have made archives more accessible and led to the development of several time-aware explora…
Building and Querying Semantic Layers for Web Archives (Extended Version)
Pavlos Fafalios, Helge Holzmann, Vaibhav Kasturia +1
Web archiving is the process of collecting portions of the Web to ensure that the information is preserved for future exploitation. However, despite the increasing number of web ar…
History by Diversity: Helping Historians search News Archives
Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
Longitudinal corpora like newspaper archives are of immense value to historical research, and time as an important factor for historians strongly influences their search behaviour…
Towards a Ranking Model for Semantic Layers over Digital Archives
Pavlos Fafalios, Vaibhav Kasturia, Wolfgang Nejdl
Archived collections of documents (like newspaper archives) serve as important information sources for historians, journalists, sociologists and other interested parties. Semantic…
Ranking Archived Documents for Structured Queries on Semantic Layers
Pavlos Fafalios, Vaibhav Kasturia, Wolfgang Nejdl
Archived collections of documents (like newspaper and web archives) serve as important information sources in a variety of disciplines, including Digital Humanities, Historical Sci…
Node Representation Learning for Directed Graphs
Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl +1
We propose a novel approach for learning node representations in directed graphs, which maintains separate views or embedding spaces for the two distinct node roles induced by the…
LogCanvas: Visualizing Search History Using Knowledge Graphs
Luyan Xu, Zeon Trevor Fernando, Xuan Zhou +1
In this demo paper, we introduce LogCanvas, a platform for user search history visualisation. Different from the existing visualisation tools, LogCanvas focuses on helping users re…
A Trio Neural Model for Dynamic Entity Relatedness Ranking
Tu Nguyen, Tuan Tran, Wolfgang Nejdl
Measuring entity relatedness is a fundamental task for many natural language processing and information retrieval applications. Prior work often studies entity relatedness in stati…
Multiple Models for Recommending Temporal Aspects of Entities
Tu Nguyen, Nattiya Kanhabua, Wolfgang Nejdl
Entity aspect recommendation is an emerging task in semantic search that helps users discover serendipitous and prominent information with respect to an entity, of which salience (…