9 citations · 26 across the 6 of their papers we have counts for
6 papers
A Framework for Specific Term Recommendation Systems
Thomas Lüke, Philipp Schaer, Philipp Mayr
In this paper we present the IRSA framework that enables the automatic creation of search term suggestion or recommendation systems (TS). Such TS are used to operationalize interac…
An OAI-PMH-based Web Service for the Generation of Co-Author Networks
Philipp Schaer, Thomas Lueke, Philipp Mayr +1
We will present a new component of our technical framework that was built to provide a brought range of reusable web services for the enhancement of typical scientific retrieval pr…
Dealing with Sparse Document and Topic Representations: Lab Report for CHiC 2012
Philipp Schaer, Daniel Hienert, Frank Sawitzki +2
We will report on the participation of GESIS at the first CHiC workshop (Cultural Heritage in CLEF). Being held for the first time, no prior experience with the new data set, a doc…
Improving Retrieval Results with discipline-specific Query Expansion
Thomas Lüke, Philipp Schaer, Philipp Mayr
Choosing the right terms to describe an information need is becoming more difficult as the amount of available information increases. Search-Term-Recommendation (STR) systems can h…
Extending Term Suggestion with Author Names
Philipp Schaer, Philipp Mayr, Thomas Lüke
Term suggestion or recommendation modules can help users to formulate their queries by mapping their personal vocabularies onto the specialized vocabulary of a digital library. Whi…
Building Custom Term Suggestion Web Services with OAI-Harvested Open Data
Philipp Schaer, Thomas Lüke, Wilko van Hoek
The problem that the same information need can be expressed in a variety of ways is especially true for scientific literature. Each scientific discipline has its own domain-specifi…