• Publications
  • Influence
Template-based question answering over RDF data
tl;dr
We present a novel approach that relies on a parse of the question to produce a SPARQL template that directly mirrors the internal structure of the natural language question, with the result that more expressive queries can not be answered. Expand
  • 415
  • 38
  • Open Access
DBpedia SPARQL Benchmark - Performance Assessment with Real Queries on Real Data
tl;dr
In this paper, we propose a generic SPARQL benchmark creation procedure, which we apply to the DBpedia knowledge base. Expand
  • 290
  • 35
  • Open Access
LIMES - A Time-Efficient Approach for Large-Scale Link Discovery on the Web of Data
tl;dr
We present and evaluate LIMES, a novel time-efficient approach for link discovery in metric spaces. Expand
  • 386
  • 33
  • Open Access
AGDISTIS - Graph-Based Disambiguation of Named Entities Using Linked Data
tl;dr
We present AGDISTIS, a novel knowledge-base-agnostic approach for named entity disambiguation that outperforms the state-of-the-art in its time complexity. Expand
  • 169
  • 24
  • Open Access
GERBIL: General Entity Annotator Benchmarking Framework
tl;dr
We present GERBIL, an evaluation framework for semantic entity annotation. Expand
  • 179
  • 18
  • Open Access
Question Answering over Linked Data (QALD-5)
tl;dr
With the increasing amount of semantic data available on the web there is a strong need for systems that allow common web users to access this body of knowledge. Expand
  • 130
  • 15
  • Open Access
Introduction to Linked Data and Its Lifecycle on the Web
tl;dr
We introduce Linked Data, a set of best practices for publishing and interlinking structured data on the Semantic Web. Expand
  • 103
  • 15
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
tl;dr
This article provides an overview of the first BioASQ challenge, a competition on large-scale biomedical semantic indexing and question answering, which took place between March and September 2013. Expand
  • 211
  • 11
  • Open Access
EAGLE: Efficient Active Learning of Link Specifications Using Genetic Programming
tl;dr
In this paper, we present EAGLE, an active learning approach based on genetic programming, a supervised machine-learning algorithm for the detection of link specifications. Expand
  • 105
  • 11
  • Open Access
A survey of current Link Discovery frameworks
tl;dr
We study and compare the features of state-ofthe-art Link Discovery frameworks. Expand
  • 143
  • 10
  • Open Access