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Semantic ScholarThomas Gottron
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2010 – today
- 2018
[c51]Zahra Ahmadi, Peter Martens, Christopher Koch, Thomas Gottron, Stefan Kramer:
Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports. DSAA 2018: 293-302- [i6]Klaus Broelemann, Thomas Gottron, Gjergji Kasneci:
Restricted Boltzmann Machines for Robust and Fast Latent Truth Discovery. CoRR abs/1801.00283 (2018) - 2017
- [c50]Klaus Broelemann, Thomas Gottron, Gjergji Kasneci:
LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. ICDE 2017: 143-146 - 2016
- [j5]Stefan Scheglmann, Martin Leinberger, Thomas Gottron, Steffen Staab, Ralf Lämmel:
SEPAL: Schema Enhanced Programming for Linked Data. KI 30(2): 189-192 (2016) - [c49]Gjergji Kasneci, Thomas Gottron:
LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks. CIKM 2016: 45-54 - [c48]Thomas Gottron, Malte Knauf, Ansgar Scherp, Johann Schaible:
ELLIS: Interactive Exploration of Linked Data on the Level of Induced Schema Patterns. SumPre@ESWC 2016 - [c47]Johann Schaible, Thomas Gottron, Ansgar Scherp:
TermPicker: Enabling the Reuse of Vocabulary Terms by Exploiting Data from the Linked Open Data Cloud. ESWC 2016: 101-117 - [i5]
- [i4]Thomas Gottron, Felix Schwagereit:
The Impact of the Filter Bubble - A Simulation Based Framework for Measuring Personalisation Macro Effects in Online Communities. CoRR abs/1612.06551 (2016) - 2015
- [j4]Thomas Gottron, Malte Knauf, Ansgar Scherp:
Analysis of schema structures in the Linked Open Data graph based on unique subject URIs, pay-level domains, and vocabulary usage. Distributed and Parallel Databases 33(4): 515-553 (2015) - [j3]Tim Weninger, Rodrigo Palácios, Valter Crescenzi, Thomas Gottron, Paolo Merialdo:
Web Content Extraction: a MetaAnalysis of its Past and Thoughts on its Future. SIGKDD Explorations 17(2): 17-23 (2015) - [c46]Renata Queiroz Dividino, Thomas Gottron, Ansgar Scherp:
Strategies for Efficiently Keeping Local Linked Open Data Caches Up-To-Date. International Semantic Web Conference (2) 2015: 356-373 - [i3]Tim Weninger, Rodrigo Palácios, Valter Crescenzi, Thomas Gottron, Paolo Merialdo:
Web Content Extraction - a Meta-Analysis of its Past and Thoughts on its Future. CoRR abs/1508.04066 (2015) - [i2]Johann Schaible, Thomas Gottron, Ansgar Scherp:
TermPicker: Enabling the Reuse of Vocabulary Terms by Exploiting Data from the Linked Open Data Cloud - An Extended Technical Report. CoRR abs/1512.05685 (2015) - 2014
- [c45]Rene Pickhardt, Thomas Gottron, Martin Körner, Paul Georg Wagner, Till Speicher, Steffen Staab:
A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney Smoothing. ACL (1) 2014: 1145-1154 - [c44]Christoph Schaefer, Daniel Hienert, Thomas Gottron:
Normalized Relevance Distance - A Stable Metric for Computing Semantic Relatedness over Reference Corpora. ECAI 2014: 789-794 - [c43]Renata Queiroz Dividino, Thomas Gottron, Ansgar Scherp, Gerd Gröner:
From Changes to Dynamics: Dynamics Analysis of Linked Open Data Sources. PROFILES@ESWC 2014 - [c42]Steffen Staab, Stefan Scheglmann, Martin Leinberger, Thomas Gottron:
Programming the Semantic Web. ESWC 2014: 1-5 - [c41]Thomas Gottron, Christian Gottron:
Perplexity of Index Models over Evolving Linked Data. ESWC 2014: 161-175 - [c40]Renata Queiroz Dividino, André Kramer, Thomas Gottron:
An Investigation of HTTP Header Information for Detecting Changes of Linked Open Data Sources. ESWC (Satellite Events) 2014: 199-203 - [c39]Thomas Gottron:
Of Sampling and Smoothing: Approximating Distributions over Linked Open Data. PROFILES@ESWC 2014 - [c38]Thomas Gottron, Ansgar Scherp, Stefan Scheglmann:
Providing Alternative Declarative Descriptions for Entity Sets Using Parallel Concept Lattices. ESWC 2014: 364-379 - [c37]Johann Schaible, Thomas Gottron, Ansgar Scherp:
Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling. ESWC 2014: 457-472 - [c36]Thomas Gottron, Johannes Schmitz, Stuart Middleton:
Focused Exploration of Geospatial Context on Linked Open Data. IESD@ISWC 2014 - [r2]Thomas Gottron, Steffen Staab:
Linked Open Data. Encyclopedia of Social Network Analysis and Mining 2014: 811-813 - [r1]Thomas Gottron, Steffen Staab:
RDF. Encyclopedia of Social Network Analysis and Mining 2014: 1497-1498 - [i1]Rene Pickhardt, Thomas Gottron, Martin Körner, Paul Georg Wagner, Till Speicher, Steffen Staab:
A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser-Ney Smoothing. CoRR abs/1404.3377 (2014) - 2013
- [c35]Christian Hachenberg, Thomas Gottron:
Locality sensitive hashing for scalable structural classification and clustering of web documents. CIKM 2013: 359-368 - [c34]Johann Schaible, Thomas Gottron, Stefan Scheglmann, Ansgar Scherp:
LOVER: support for modeling data using linked open vocabularies. EDBT/ICDT Workshops 2013: 89-92 - [c33]Thomas Gottron, Ansgar Scherp, Bastian Krayer, Arne Peters:
LODatio: A Schema-Based Retrieval System for Linked Open Data at Web-Scale. ESWC (Satellite Events) 2013: 142-146 - [c32]Nicolas Beck, Stefan Scheglmann, Thomas Gottron:
LinDA: A Service Infrastructure for Linked Data Analysis and Provision of Data Statistics. ESWC (Satellite Events) 2013: 225-230 - [c31]Thomas Gottron, Malte Knauf, Stefan Scheglmann, Ansgar Scherp:
A Systematic Investigation of Explicit and Implicit Schema Information on the Linked Open Data Cloud. ESWC 2013: 228-242 - [c30]Nasir Naveed, Thomas Gottron, Steffen Staab:
Feature Sentiment Diversification of User Generated Reviews: The FREuD Approach. ICWSM 2013 - [c29]Julia Preusse, Jérôme Kunegis, Matthias Thimm, Steffen Staab, Thomas Gottron:
Structural Dynamics of Knowledge Networks. ICWSM 2013 - [c28]Thomas Gottron, Ansgar Scherp, Bastian Krayer, Arne Peters:
LODatio: using a schema-level index to support users infinding relevant sources of linked data. K-CAP 2013: 105-108 - 2012
- [j2]
- [j1]Mathias Konrath, Thomas Gottron, Steffen Staab, Ansgar Scherp:
SchemEX - Efficient construction of a data catalogue by stream-based indexing of linked data. J. Web Semant. 16: 52-58 (2012) - [c27]Thomas Gottron, Olaf Radcke, Rene Pickhardt:
On the Temporal Dynamics of Influence on the Social Semantic Web. CSWS 2012: 75-87 - [c26]Thomas Gottron, Rene Pickhardt:
A Detailed Analysis of the Quality of Stream-Based Schema Construction on Linked Open Data. CSWS 2012: 89-102 - [c25]Hadi Mohammadzadeh, Omid Paknia, Franz Schweiggert, Thomas Gottron:
Revealing Trends Based on Defined Queries in Biological Publications Using Cosine Similarity. DEXA Workshops 2012: 218-222 - [c24]Arifah Che Alhadi, Thomas Gottron, Jérôme Kunegis, Nasir Naveed:
LiveTweet: Monitoring and Predicting Interesting Microblog Posts. ECIR 2012: 569-570 - [c23]Christian Hachenberg, Thomas Gottron:
Finding Good URLs: Aligning Entities in Knowledge Bases with Public Web Document Representations. WoLE@ISWC 2012: 17-28 - [c22]Rene Pickhardt, Thomas Gottron, Ansgar Scherp, Steffen Staab, Jonas Kunze:
Efficient Graph Models for Retrieving Top-k News Feeds from Ego Networks. SocialCom/PASSAT 2012: 123-133 - [c21]Hadi Mohammadzadeh, Thomas Gottron, Franz Schweiggert, Gholamreza Nakhaeizadeh:
The Impact of Source Code Normalization on Main Content Extraction. WEBIST 2012: 677-682 - [c20]Hadi Mohammadzadeh, Thomas Gottron, Franz Schweiggert, Gerhard Heyer:
TitleFinder: extracting the headline of news web pages based on cosine similarity and overlap scoring similarity. WIDM 2012: 65-72 - 2011
- [c19]Nasir Naveed, Thomas Gottron, Jérôme Kunegis, Arifah Che Alhadi:
Searching microblogs: coping with sparsity and document quality. CIKM 2011: 183-188 - [c18]Thomas Gottron, Maik Anderka, Benno Stein:
Insights into explicit semantic analysis. CIKM 2011: 1961-1964 - [c17]Sergej Sizov, Stefan Siersdorfer, Thomas Gottron, Philipp Sorg:
Detect'11: international workshop on DETecting and Exploiting Cultural diversiTy on the social web. CIKM 2011: 2621-2622 - [c16]Hadi Mohammadzadeh, Thomas Gottron, Franz Schweiggert, Gholamreza Nakhaeizadeh:
A Fast and Accurate Approach for Main Content Extraction Based on Character Encoding. DEXA Workshops 2011: 167-171 - [c15]Thomas Gottron, Christian Hachenberg, Andreas Harth, Benjamin Zapilko:
Towards a Semantic Data Library for the Social Sciences. SDA 2011: 48-59 - [c14]Hadi Mohammadzadeh, Thomas Gottron, Franz Schweiggert, Gholamreza Nakhaeizadeh:
Extracting the Main Content of Web Documents based on a Naive Smoothing Method. KDIR 2011: 470-475 - [c13]Hadi Mohammadzadeh, Thomas Gottron, Franz Schweiggert, Gholamreza Nakhaeizadeh:
Extracting the Main Content of Web Documents Based on Character Encoding and a Naive Smoothing Method. ICSOFT (Selected Papers) 2011: 217-236 - [c12]Arifah Che Alhadi, Thomas Gottron, Jérôme Kunegis, Nasir Naveed:
LiveTweet: Microblog Retrieval Based on Interestingness and an Adaptation of the Vector Space Model. TREC 2011 - [c11]Nasir Naveed, Thomas Gottron, Jérôme Kunegis, Arifah Che Alhadi:
Bad news travel fast: a content-based analysis of interestingness on Twitter. WebSci 2011: 8:1-8:7 - 2010
- [c10]Thomas Gottron:
External Plagiarism Detection Based on Standard IR Technology and Fast Recognition of Common Subsequences - Lab Report for PAN at CLEF 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c9]Thomas Gottron, Nedim Lipka:
A Comparison of Language Identification Approaches on Short, Query-Style Texts. ECIR 2010: 611-614
2000 – 2009
- 2009
- [c8]Constanze Lipowsky, Egor Dranischnikow, Herbert Göttler, Thomas Gottron, Mathias Kemeter, Elmar Schömer:
Alignment of Noisy and Uniformly Scaled Time Series. DEXA 2009: 675-688 - [c7]Thomas Gottron:
Document Word Clouds: Visualising Web Documents as Tag Clouds to Aid Users in Relevance Decisions. ECDL 2009: 94-105 - [c6]
- [c5]Thomas Gottron, Ludger Martin:
Estimating web site readability using content extraction. WWW 2009: 1169-1170 - 2008
- [b1]Thomas Gottron:
Content extraction - identifying the main content in HTML documents. University of Mainz, Germany 2008, pp. I-XII, 1-252 - [c4]Thomas Gottron:
Content Code Blurring: A New Approach to Content Extraction. DEXA Workshops 2008: 29-33 - [c3]
- [c2]Thomas Gottron:
Content Extraction: Bestimmung des Hauptinhaltes in HTML Dokumenten. Ausgezeichnete Informatikdissertationen 2008: 101-110 - [c1]
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