Award at TPDL conference

 

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A paper contributed by Prof. Ewerth’s Visual Analytics Research Group received the “Honorable Mention Award” at TPDL 2018 (22nd International Conference on Theory and Practice of Digital Libraries) in Porto (Portugal) from 10 to 13 September. In total, 51 “full papers” were submitted to TPDL 2018, of which 16 (31%) were invited to present in a full-length oral presentation at the conference. This year, research groups of the TIB (Data Science & Digital Libraries, Scientific Data Management, Open Science Lab) participated in TPDL with numerous contributions (5 talks and two demo posters). The work was developed in the context of the ALEXANDRIA project (ERC Advanced Research Grant, Prof. Wolfgang Nejdl), which is conducted at the L3S Research Center and investigates innovative methods for temporal search in web archives.

In the Honorable Mention Award winning paper “Finding Person Relations in Image Data of News Collections in the Internet Archive”, the authors present a system that automatically recognises and identifies people in photos of news collections from the Internet Archiv. The approach is based on state-of-the-art machine learning methods, so-called deep (i.e., very large) neural networks. Through an appropriate visualisation of results, users and researchers, e.g. historians, can quickly and effectively explore information about person relationships in photos, i.e. how often persons of public interest were presented together on the same photo or in photos of the same article within a certain period of time. The authors demonstrate the benefits of the system via two use cases for online news from politics and entertainment in 2013. The trained models as well as the demo of the use cases described in the article are freely available online (see corresponding links). In the future, the approach will be extended so that person recognition in images can be linked or compared with mentions in the corresponding news text.

Reference: Eric Müller-Budack, Kader Pustu-Iren, Sebastian Diering, and Ralph Ewerth: “Finding Person Relations in Image Data of News Collections in the Internet Archive”. In: Méndez E., Crestani F., Ribeiro C., David G., Lopes J. (eds) Digital Libraries for Open Knowledge. TPDL 2018. Lecture Notes in Computer Science, Vol 11057. Springer, Cham. DOI: 10.1007/978-3-030-00066-0_20

Alexandria at JCDL 2018

The 2018 ACM/IEEE Joint Conference on Digital Libraries (JCDL 2018) was held in Fort Worth (Texas, USA) on 3-6 June. The Alexandria project was again present in this annual venue with one full research paper. The paper, entitled  “Ranking Archived Documents for Structured Queries on Semantic Layers”, was presented by Dr. Pavlos Fafalios and is co-authored by Prof. Wolfgang Nejdl.

The paper introduces the problem of ranking archived documents for structured queries on semantic layers and proposes two ranking models (a probabilistic one and a Random Walk-based one) which jointly consider: i) the relativeness of a document to the query entities, ii) the timeliness of a document’s publication date, iii) the temporal relatedness of the query entities to other entities mentioned in the documents.

A preprint of the article is available at: http://l3s.de/~fafalios/files/pubs/fafalios2018jcdl.pdf

The presentation slides are available at: http://l3s.de/~fafalios/files/ppts/RankingInSemanticLayer_JCDL2018.pdf

ESWC 2018 with Alexandria Contributions

The 15th Extended Semantic Web Conference (ESWC 2018) was held in Heraklion (Crete, Greece) on 3-7 June 2018. The Alexandria project was present with the following publications:

TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets (by Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi, and Stefan Dietze). Nominated for the “Best Resource Paper” award! [PAPER]
EventKG: A Multilingual Event-Centric Temporal Knowledge Graph (by Simon Gottschalk and Elena Demidova) [PAPER]

In addition, the following papers were presented in ESWC workshops:

Time-Aware and Corpus-Specific Entity Relatedness (by Nilamadhaba Mohapatra, Vasileios Iosifidis, Asif Ekbal, Stefan Dietze, and Pavlos Fafalios) – Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) [PAPER]
Heuristics-based Query Reordering for Federated Queries in SPARQL 1.1 and SPARQL-LD (by Pavlos Fafalios and Yannis Tzitzikas) – 2nd Workshop on Querying the Web of Data (QuWeDa) [PAPER]

Alexandria at Web Science 2018

The 10th International ACM Web Science Conference was held from Sunday May 27 to Wednesday May 30 (2018) in Amsterdam, The Netherlands. The Alexandria project was present in this annual venue with the following contributions:
– Viewpoint Discovery and Understanding in Social Networks (by Mainul Quraishi, Pavlos Fafalios, and Eelco Herder) [PAPER]
– DistrustRank: Spotting False News Domains (by Vinicius Woloszyn and Wolfgang Nejdl) [PAPER]

The first paper proposes a graph partitioning method that exploits social interactions to enable the discovery of different communities (representing different viewpoints) discussing about a controversial topic in a social network like Twitter. To explain the discovered viewpoints, the paper describes a method, called Iterative Rank Difference (IRD), which allows detecting descriptive terms that characterize the different viewpoints as well as understanding
how a specific term is related to a viewpoint (by detecting other related descriptive terms). Such a method enables better understanding of ongoing political or societal debates, or analyzing and interpreting the course of historical events retrospectively.

The second paper proposes a semi-supervised learning strategy to automatically separate fake news from reliable news sources. The ouput is a trust (or distrust) rank that can be used in two ways: a) as a counter-bias to be applied when News about a specific subject is ranked (in order to discount possible boosts achieved by false claims), and b) to assist humans to identify sources that are likely to inclde fake news (or that are likely to be reputable), suggesting websites that should be examined more closely or to be avoided.

EMNLP 2017 with Alexandria Contributions

In this year’s Empirical Methods in Natural Language Processing (EMNLP) conference, members of the Alexandria project, Besnik Fetahu, Avishek Anand and Katja Markert, will be presenting their work on determining citation span for references in Wikipedia pages.

EMNLP is one of the top-tier venues for works in the field of Computational Linguistics. The importance of this conference, is shown by the statistics of this year’s conference, which had an increase of about 50% in terms of submissions compared to the last years.

For more explanation and the outcomes of this work we refer to the page providing more details and the ground-truth.

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