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Working with abstract information often relies on static, symbolic representations that constrain exploration. We introduce Explorable Ideas, a framework that externalizes abstract concepts into explorable environments where physical…

Human-Computer Interaction · Computer Science 2025-12-22 Euijun Jung , Jingyu Lee , Minji Kim , Youngki Lee

Information Retriever (IR) aims to find the relevant documents (e.g. snippets, passages, and articles) to a given query at large scale. IR plays an important role in many tasks such as open domain question answering and dialogue systems,…

Computation and Language · Computer Science 2022-06-01 Man Luo

Information Retrieval (IR) is the task of obtaining pieces of data (such as documents or snippets of text) that are relevant to a particular query or need from a large repository of information. While a combination of traditional keyword-…

Information Retrieval · Computer Science 2020-09-07 Samarth Rawal , Chitta Baral

Considering the multimodal signals of search items is beneficial for retrieval effectiveness. Especially in web table retrieval (WTR) experiments, accounting for multimodal properties of tables boosts effectiveness. However, it still…

Information Retrieval · Computer Science 2023-10-19 Björn Engelmann , Timo Breuer , Philipp Schaer

The paper introduces scholarly Information Retrieval (IR) as a further dimension that should be considered in the science modeling debate. The IR use case is seen as a validation model of the adequacy of science models in representing and…

Digital Libraries · Computer Science 2017-05-03 Peter Mutschke , Philipp Mayr , Philipp Schaer , York Sure

Navigating and visualizing multilayered knowledge graphs remains a challenging, unresolved problem in information systems design. Building on our earlier study, which engaged end users in both the design and population of a domain-specific…

Human-Computer Interaction · Computer Science 2025-05-05 Stanislava Gardasevic , Manika Lamba , Jasmine S. Malone

A recent "third wave" of Neural Network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing. Because these modern NNs often…

Conversational search (CS) has recently become a significant focus of the information retrieval (IR) research community. Multiple studies have been conducted which explore the concept of conversational search. Understanding and advancing…

Human-Computer Interaction · Computer Science 2021-04-09 Abhishek Kaushik , Gareth J. F. Jones

Secondary analysis or the reuse of existing survey data is a common practice among social scientists. Searching for relevant datasets in Digital Libraries is a somehow unfamiliar behaviour for this community. Dataset retrieval, especially…

Digital Libraries · Computer Science 2020-10-13 Zeljko Carevic , Dwaipayan Roy , Philipp Mayr

Exploratory search is an open-ended information retrieval process that aims at discovering knowledge about a topic or domain rather than searching for a specific answer or piece of information. Conversational interfaces are particularly…

Computation and Language · Computer Science 2023-10-10 Phillip Schneider , Nils Rehtanz , Kristiina Jokinen , Florian Matthes

Understanding an information forager's actions during interaction is very important for the study of interactive information retrieval. Although information spread in uncertain information space is substantially complex due to the high…

Information Retrieval · Computer Science 2020-08-07 Amit Kumar Jaiswal , Haiming Liu , Ingo Frommholz

This workshop brings together experts of communities which often have been perceived as different once: bibliometrics / scientometrics / informetrics on the one side and information retrieval on the other. Our motivation as organizers of…

Information Retrieval · Computer Science 2015-01-13 Philipp Mayr , Ingo Frommholz , Andrea Scharnhorst , Peter Mutschke

Software Engineering activities are information intensive. Research proposes Information Retrieval (IR) techniques to support engineers in their daily tasks, such as establishing and maintaining traceability links, fault identification, and…

Software Engineering · Computer Science 2023-08-24 Michael Unterkalmsteiner , Tony Gorschek , Robert Feldt , Niklas Lavesson

Information retrieval (IR) systems need to constantly update their knowledge as target objects and user queries change over time. Due to the power-law nature of linguistic data, learning lexical concepts is a problem resisting standard…

Artificial Intelligence · Computer Science 2019-11-01 Jacopo Tagliabue , Reuben Cohn-Gordon

Tables on the Web contain a vast amount of knowledge in a structured form. To tap into this valuable resource, we address the problem of table retrieval: answering an information need with a ranked list of tables. We investigate this…

Information Retrieval · Computer Science 2021-05-14 Shuo Zhang , Krisztian Balog

Conversational information seeking (CIS) is concerned with a sequence of interactions between one or more users and an information system. Interactions in CIS are primarily based on natural language dialogue, while they may include other…

Information Retrieval · Computer Science 2023-01-27 Hamed Zamani , Johanne R. Trippas , Jeff Dalton , Filip Radlinski

Information access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly drawn from qualitative methods, such as observational studies or surveys. Leveraging the advances in…

Information Retrieval · Computer Science 2024-05-08 Kaixin Ji , Danula Hettiachchi , Flora D. Salim , Falk Scholer , Damiano Spina

Interactive visualizations for exploring and retrieval have not yet become an integral part of digital libraries and information retrieval systems. We have integrated a set of interactive graphics in a real world social science digital…

Digital Libraries · Computer Science 2012-01-13 Daniel Hienert , Frank Sawitzki , Philipp Schaer , Philipp Mayr

Conversational interfaces that allow for intuitive and comprehensive access to digitally stored information remain an ambitious goal. In this thesis, we lay foundations for designing conversational search systems by analyzing the…

Information Retrieval · Computer Science 2019-12-17 Svitlana Vakulenko

The combination of informetric analysis and information retrieval allows a twofold application. (1) While in-formetrics analysis is primarily used to gain insights into a scientific domain, it can be used to build recommen-dation or…

Information Retrieval · Computer Science 2013-06-10 Tamara Heck , Philipp Schaer