48 citations · 92 across the 10 of their papers we have counts for
11 papers
Overview of LiLAS 2020 -- Living Labs for Academic Search
Philipp Schaer, Johann Schaible, Leyla Jael Garcia Castro
Academic Search is a timeless challenge that the field of Information Retrieval has been dealing with for many years. Even today, the search for academic material is a broad field…
Living Lab Evaluation for Life and Social Sciences Search Platforms -- LiLAS at CLEF 2021
Philipp Schaer, Johann Schaible, Leyla Jael Castro
Meta-evaluation studies of system performances in controlled offline evaluation campaigns, like TREC and CLEF, show a need for innovation in evaluating IR-systems. The field of aca…
Online Information Retrieval Evaluation using the STELLA Framework
Timo Breuer, Narges Tavakolpoursaleh, Johann Schaible +3
Involving users in early phases of software development has become a common strategy as it enables developers to consider user needs from the beginning. Once a system is in product…
Combining sensors and surveys to study social contexts: Case of scientific conferences
Mathieu Génois, Maria Zens, Marcos Oliveira +3
In this paper, we present a unique collection of four data sets to study social behaviour. The data were collected at four international scientific conferences, during which we mea…
Overview of LiLAS 2021 -- Living Labs for Academic Search
Philipp Schaer, Timo Breuer, Leyla Jael Castro +3
The Living Labs for Academic Search (LiLAS) lab aims to strengthen the concept of user-centric living labs for academic search. The methodological gap between real-world and lab-ba…
Group mixing drives inequality in face-to-face gatherings
Marcos Oliveira, Fariba Karimi, Maria Zens +3
Uncovering how inequality emerges from human interaction is imperative for just societies. Here we show that the way social groups interact in face-to-face situations can enable th…
RARD: The Related-Article Recommendation Dataset
Joeran Beel, Zeljko Carevic, Johann Schaible +1
Recommender-system datasets are used for recommender-system evaluations, training machine-learning algorithms, and exploring user behavior. While there are many datasets for recomm…
TermPicker: Enabling the Reuse of Vocabulary Terms by Exploiting Data from the Linked Open Data Cloud - An Extended Technical Report
Johann Schaible, Thomas Gottron, Ansgar Scherp
Deciding which vocabulary terms to use when modeling data as Linked Open Data (LOD) is far from trivial. Choosing too general vocabulary terms, or terms from vocabularies that are…
Discovering Links for Metadata Enrichment on Computer Science Papers
Johann Schaible, Philipp Mayr
At the very beginning of compiling a bibliography, usually only basic information, such as title, authors and publication date of an item are known. In order to gather additional i…
TheSoz: A SKOS Representation of the Thesaurus for the Social Sciences
Benjamin Zapilko, Johann Schaible, Philipp Mayr +1
The Thesaurus for the Social Sciences (TheSoz) is a Linked Dataset in SKOS format, which serves as a crucial instrument for information retrieval based on e.g. document indexing or…
A Novel Combined Term Suggestion Service for Domain-Specific Digital Libraries
Daniel Hienert, Philipp Schaer, Johann Schaible +1
Interactive query expansion can assist users during their query formulation process. We conducted a user study with over 4,000 unique visitors and four different design approaches…