Publication

Here you can find scientific publications of Know-Center employees

Evaluation of Pseudo Relevance Feedback Techniques for Cross Vertical Aggregated Search

H Ziak, R Kern – Lecture Notes in Computer Science, 2015

Cross vertical aggregated search is a special form of meta search, were multiple search engines from different domains and varying behaviour are combined to produce a single search result for each query. Such a setting poses a number of challenges, among them the question of how to best evaluate the…

Unified Information Access for Knowledge Workers via a Federated Recommender System

H Gursch, H Ziak, R Kern – Mensch und Computer 2015 – Workshopba…, 2015 – Anette Weisbecker, Michael Burmester, Albrecht Schmidt

The objective of the EEXCESS (Enhancing Europe’s eXchange in Cultural Educational and Scientific reSources) project is to develop a system that can automatically recommend helpful and novel content to knowledge workers. The EEXCESS system can be integrated into existing software user interfaces as plugins which will extract topics and suggest…

Efficient Search Result Diversification via Query Expansion Using Knowledge Bases

R Rubien, H Ziak, R Kern – Proceedings of 12th International Workshop on Text-based Information Retrieval (TIR), 2015

Underspecified search queries can be performed via result list diversification approaches, which are often computationally complex and require longer response times. In this paper, we explore an alternative, and more efficient way to diversify the result list based on query expansion. To that end, we used a knowledge base pseudo-relevance…

Towards Authorship Attribution for Bibliometrics using Stylometric Features

A Rexha, S Klampfl, M Kröll, R Kern – Mining Scientific Papers: Computational Linguistics and Bibliometrics, 2015

The overwhelming majority of scientific publications are authored by multiple persons; yet, bibliographic metrics are only assigned to individual articles as single entities. In this paper, we aim at a more fine-grained analysis of scientific authorship. We therefore adapt a text segmentation algorithm to identify potential author changes within the…

Efficient Table Annotation for Digital Articles

M Frey, R Kern – 4th International Workshop on Mining Scientific Publications, 2015

Deriving Public Transportation Timetables with Large-Scale Cell Phone Data

C Horn, R Kern – Procedia Computer Science, 2015

In this paper, we propose an approach to deriving public transportation timetables of a region (i.e. country) based on (i) large- scale, non-GPS cell phone data and (ii) a dataset containing geographic information of public transportation stations. The presented algorithm is designed to work with movements data, which are scarce…

Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications

S Klampfl, R Kern – Semantic Web Evaluation Challenge (Semantic Publishing Challenge, ESWC 2015), 2015

Scholarly publishing increasingly requires automated systems that semantically enrich documents in order to support management and quality assessment of scientific output. However, contextual information, such as the authors' affiliations, references, and funding agencies, is typically hidden within PDF files. To access this information we have developed a processing pipeline that…

Automatic Summarization for Terminology Recommendation: the case of the NCBO Ontology Recommender

P López-García, S Schulz, R Kern – International SWAT4LS Workshop, 2014

Is enterprise search useful at all?: lessons learned from studying user behavior

A Stocker, M Zoier, S Softic, S Paschke, H Bischofter, R Kern – i-KNOW '14 Proceedings of the 14th International Confere…, 2014

Towards a Marketplace for the Scientific Community: Accessing Knowledge from the Computer Science Domain

M Kroell, S Klampfl, R Kern – International Workshop on Mining Scientific Publications @ Digital Libraries, 2014

As scientific output is constantly growing, it is getting more and more important to keep track not only for researchers but also for other scientific stakeholders such as funding agencies or research companies. Each stakeholder values different types of information. A funding agency, for instance, might be rather interested in…

A Comparison of Two Unsupervised Table Recognition Methods from Digital Scientific Articles

S Klampfl, K Jack, R Kern – 3rd International Workshop on Mining Scientific Publications, 2014

In digital scientific articles tables are a common form of presenting information in a structured way. However, the large variability of table layouts and the lack of structural information in digital document formats pose significant challenges for information retrieval and related tasks. In this paper we present two table recognition…

A Study of Scientific Writing: Comparing Theoretical Guidelines with Practical Implementation

M Kroell, G Schulze, R Kern – COLING Workshop on Synchronic and Diachronic Approaches to Analyzing Technical Language, 2014

Good scientific writing is a skill researchers seek to acquire. Textbook literature provides guidelines to improve scientific writing, for instance, "use active voice when describing your own work". In this paper we investigate to what extent researchers adhere to textbook principles in their articles. In our analyses we examine a…

Unsupervised document structure analysis of digital scientific articles

S Klampfl, M Granitzer, K Jack, R Kern – International Journal on Digital Libraries, 2014

Text mining and information retrieval in large collections of scientific literature require automated processing systems that analyse the documents' content. However, the layout of scientific articles is highly varying across publishers, and common digital document formats are optimised for presentation, but lack structural information. To overcome these challenges, we have…

Beyond Search – How Modern Information Retrieval Techniques Make Knowledge Accessible

H Gursch, M Zoier, M Zechner, R Kern – Conference Proceedings - Grazer Symposium Virtuelles Fahrzeug, 2014

{{citation needed}}: Filling in Wikipedia’s Citation Shaped Holes

K Jack, P López-García, M Hristakeva, R Kern – Bibliometric-enhanced Information Retrieval @ ECIR European conference …, 2014

Wikipedia authors cite external references to support claims made in their articles in order to increase their validity. A large number of claims, however, do not have supporting citations, putting them in question. In this paper, we describe a study in which we attempt to retrieve relevant citations for claims…

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