Training towards a society of data-savvy information professionals to enable open leadership innovation

Livrables

Technologies for MOVING data processing and visualisation v2.0

The initial versions of the data processing and visualisation components are integrated and running in the operational MOVING platform. Thus, the components are particularly tested towards scalability and reliability. The components are extended by additional functionalities (e.g. more concepts are offered in the fragment annotation, author linkage between publications and videos etc).

Definition of platform architecture and software development configuration

This report will contain the technical documentation of the base platform, technical documentation and API specification for the plugin system as well as a feasibility study for each one of the use cases. It will also define the descriptions of the plugins with interface definitions and class diagrams. It will finally include the setup of the supporting software for the development process (Wiki / Ticketsystem / CI-Platform) and the quality assurance measures for the process and the results.

Dissemination and communication plan and activities - third report

This deliverable is an update of D5.1 providing the dissemination actions taken in the third year.

Technologies for MOVING data processing and visualisation v1.0

An initial set of data processing and visualisation components are provided that contain a common data model for indexing the full-texts, metadata, HTML content and video data. Initial versions of text and visual mining are applied on that data. Initial implementations of the logging concept, metadata extraction from PDF, author alignment and a functional prototype for data visualisation are provided.

Final responsive platform prototype, modules and common communication protocol

Update of D4.2.

Initial evaluation, updated requirements and specifications

The evaluation report will contain the results of the evaluations conducted on the delivered systems, one for each target end user group. It will further contain the updated requirements and specifications for the MOVING use cases.

Initial conceptual framework, curricula and technical prototypes for adaptive training support

This deliverable will include prior knowledge assessment, learning effects/progress and adaptive/personalised learning opportunities, as well as the user profiling work produced in terms of Task 2.1. It will also describe the conceptual framework for learner guidance in MOVING. Finally it will describe the web-based and mobile guidance functionalities defined in Task 2.2.

User requirements and specification of the use cases

This deliverable will contain an initial requirement analysis based on the project objectives and the inputs collected from the project partners and the end user groups targeted by the project, and the specifications of the platform according to the documented requirements. The deliverable will be updated by D1.3.

Initial responsive platform prototype, modules and common communication protocol

This report and prototype is the initial version of the MOVING platform, including the responsive platform itself, the implementation of the common communication protocol, the SCORM module, the e-learning module (select course / progress through course / get results) as well as the integrated data processing module with advanced search capabilities.

Updated curricula and prototypes for adaptive training support and introductory MOVING MOOC for community building

This report will be an update of D2.1 which will furthermore investigate for each use case a set of relevant guidance components, including optimal contexts (time, location) for offering guidance. The deliverable will also describe the initial version of the MOOC built in Task 2.3 w.r.t. community building.

Final implementation of user studies and evaluation

The deliverable will provide an update of D1.2 (implementation of user studies) and the final evaluation report for the MOVING user studies.

Initial implementation of user studies

This deliverable will be the actual implementation of the systems for the two use studies that will deliver the functionality that was specified in D1.1. It will consist of two systems, targeting the two end user groups. It will be updated by D1.4.

Dissemination and communication plan and activities - first report

This deliverable will set the major goals of dissemination objectives, and will provide the dissemination actions taken in the first year, as well as the plan for the second year including a specific calendar of the events. It will also include the setup of the project website.

Dissemination and communication plan and activities - second report

This deliverable is an update of D5.1 providing the dissemination actions taken in the second year, as well as the plan for the third year.

Final conceptual framework, curricula and MOVING MOOC for community building

This report will be the final update of D2.2. It will also contain the results of user studies regarding the MOVING learner guidance, and an update of the MOOC to be built in Task 2.3 regarding community building.

Technologies for MOVING data processing and visualisation v3.0

The final data processing and visualisation components offer support for continuous updates of content, i.e. support incremental indexing, extraction and linkage of content. In addition, the data visualisation components are evaluated with end users on large datasets.

Open innovation systems state of the art and beyond

This deliverable will (1) Clarify the open innovation approach for the project; identify the open innovation scope in the use cases and distinguish the project approach and results from current approaches in open innovation systems; define precise and specific needs of target users as well as the way to access public administration (including value of the combination of adaptive training and work, for the individual, and the organization; quality assurance, career development, etc.); (2) precisely specify the innovation potential in terms of scientific approach and technological development; identify potential for technological innovation (patents, standardization, etc.); (3) strengthen impact activities by clearly specifying the target groups and identifying strategies for widening access to businesses and organizations while putting focus on competitiveness and sustainability of the project results during as well as after the project lifetime; (4) update risks and mitigation measures related to the technology platform toward open innovation, target users and acceptance.

Data management plan

Provides a data management policy for MOVING that will be used w.r.t. opening reference datasets by the partners and maximising the impact of the project.

Publications

Information-theoretic Analysis of Entity Dynamics on the Linked Open Data Cloud

Auteurs: Ch. Nishioka, A. Scherp
Publié dans: PROFILES 2016 3rd International Workshop on Dataset PROFIling & fEderated Search for Linked Data. Co-located with ESWC 2016, May 30, 2016, Anissaras, Crete, Greece, 2016
Éditeur: CEUR-WS.org
DOI: 10.5281/zenodo.61386

MOVING: Training Towards a Society of Data-savvy Information Professionals

Auteurs: Ansgar Scherp, Daniela Pscheida, Michael Wiese, Chifumi Nishioka, Thomas Kohler, Annalouise Maas, Chrysa Collyda, Vasileios Mezaris
Publié dans: """The Semantic Web. Latest Advances and New Domains"", 13th International Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 -- June 2, 2016, Proceedings", 2016
Éditeur: Springer
DOI: 10.5281/zenodo.61520

Effective Unsupervised Author Disambiguation with Relative Frequencies

Auteurs: Tobias Backes
Publié dans: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries - JCDL '18, 2018, Page(s) 203-212, ISBN 9781-450351782
Éditeur: ACM Press
DOI: 10.1145/3197026.3197036

The Impact of Name-Matching and Blocking on Author Disambiguation

Auteurs: Tobias Backes
Publié dans: Proceedings of the 27th ACM International Conference on Information and Knowledge Management - CIKM '18, 2018, Page(s) 803-812, ISBN 9781-450360142
Éditeur: ACM Press
DOI: 10.1145/3269206.3271699

Evaluation of the Comprehensiveness of Bar Charts with and without Stacking Functionality using Eye-Tracking

Auteurs: Falk Böschen, Benjamin Strobel, Steffen Goos, Christoph Liebers, Bastian Rathje, Ansgar Scherp
Publié dans: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval - CHIIR '17, 2017, Page(s) 337-340, ISBN 9781-450346771
Éditeur: ACM Press
DOI: 10.1145/3020165.3022147

Cognitive Content Recommendation in Digital Knowledge Repositories – A Survey of Recent Trends

Auteurs: Andrzej M. J. Skulimowski
Publié dans: Artificial Intelligence and Soft Computing, Numéro 10246, 2017, Page(s) 574-588, ISBN 978-3-319-59059-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-59060-8_52

Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection

Auteurs: Galanopoulos, Damianos; Markatopoulou, Foteini; Mezaris, Vasileios; Patras, Ioannis
Publié dans: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, Numéro 23, 2017, ISBN 9781-450347013
Éditeur: ACM Press
DOI: 10.5281/zenodo.809939

Query and Keyframe Representations for Ad-hoc Video Search

Auteurs: Foteini Markatopoulou; Damianos Galanopoulos; Vasileios Mezaris; Ioannis Patras
Publié dans: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, Numéro 23, 2017, ISBN 9781-450347013
Éditeur: ACM Digital Library
DOI: 10.5281/zenodo.809937

VideoAnalysis4ALL - An On-line Tool for the Automatic Fragmentation and Concept-based Annotation, and the Interactive Exploration of Videos

Auteurs: Chrysa Collyda, Evlampios Apostolidis, Alexandros Pournaras, Foteini Markatopoulou, Vasileios Mezaris, Ioannis Patras
Publié dans: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, 2017, Page(s) 470-474, ISBN 9781-450347013
Éditeur: ACM Press
DOI: 10.1145/3078971.3079015

Using Titles vs. Full-text as Source for Automated Semantic Document Annotation

Auteurs: Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp
Publié dans: Proceedings of the Knowledge Capture Conference on - K-CAP 2017, 2017, Page(s) 1-4, ISBN 9781-450355537
Éditeur: ACM Press
DOI: 10.1145/3148011.3148039

SemRevRec: A Recommender System based on User Reviews and Linked Data

Auteurs: Vagliano, Iacopo; Monti, Diego; Morisio, Maurizio
Publié dans: Numéro 10, 2017
Éditeur: ceur-ws.org
DOI: 10.5281/zenodo.1157831

Reranking-based Recommender System with Deep Learning

Auteurs: Saleh, Ahmed; Mai, Florian; Nishioka, Chifumi; Scherp, Ansgar
Publié dans: Deep Learning in heterogenen Datenbeständen, Numéro 11, 2017
Éditeur: https://dl.gi.de
DOI: 10.5281/zenodo.1135135

Generic to Specific Recognition Models for Membership Analysis in Group Videos

Auteurs: Wenxuan Mou, Christos Tzelepis, Vasileios Mezaris, Hatice Gunes, Ioannis Patras
Publié dans: 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017, Page(s) 512-517, ISBN 978-1-5090-4023-0
Éditeur: IEEE
DOI: 10.1109/FG.2017.69

Modelling user requirements to develop a platform enabling data-savvy information professionals

Auteurs: Franziska Günther
Publié dans: Numéro 3, 2017
Éditeur: Communities in New Media Conference (GeNeMe 2017)
DOI: 10.5281/zenodo.1137639

WevQuery: Testing Hypotheses about Web Interaction Patterns

Auteurs: Apaolaza, Aitor; Vigo, Markel
Publié dans: PACMHCI Proceedings of the ACM on Human-Computer Interaction, Numéro 13, 2017, ISSN 2573-0142
Éditeur: ACM
DOI: 10.1145/3095806

Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text

Auteurs: Florian Mai, Lukas Galke, Ansgar Scherp
Publié dans: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries - JCDL '18, 2018, Page(s) 169-178, ISBN 9781-450351782
Éditeur: ACM Press
DOI: 10.1145/3197026.3197039

Improving Search Strategies of Auditors – A Focus Group on Reflection Interventions

Auteurs: Fessl, Angela; Pammer, Viktoria; Wiese, Michael; Thalmann, Stefan
Publié dans: Proceedings of the 7th Workshop on Awareness and Reflection in Technology Enhanced Learning co-located with the 12th European Conference on Technology Enhanced Learning (EC-TEL 2017), Numéro 12, 2017, ISSN 1613-0073
Éditeur: ceur-ws.org
DOI: 10.5281/zenodo.1195865

Keeping linked open data caches up-to-date by predicting the life-time of RDF triples

Auteurs: Chifumi Nishioka, Ansgar Scherp
Publié dans: Proceedings of the International Conference on Web Intelligence - WI '17, 2017, Page(s) 73-80, ISBN 9781-450349512
Éditeur: ACM Press
DOI: 10.1145/3106426.3106463

Evaluating the Impact of Word Embeddings on Similarity Scoring in Practical Information Retrieval

Auteurs: Galke, Lukas Paul Achatius; Saleh, Ahmed; Scherp, Ansgar
Publié dans: Deep Learning in heterogenen Datenbeständen, Numéro 14, 2017
Éditeur: https://dl.gi.de
DOI: 10.5281/zenodo.1143962

Content Recommendation through Semantic Annotation of User Reviews and Linked Data

Auteurs: Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio
Publié dans: Proceedings of the Knowledge Capture Conference on - K-CAP 2017, 2017, Page(s) 1-4, ISBN 9781-450355537
Éditeur: ACM Press
DOI: 10.1145/3148011.3148035

MultiEdTech 2017 - 1st International Workshop on Multimedia-based Educational and Knowledge Technologies for Personalized and Social Online Training

Auteurs: Ansgar Scherp, Vasileios Mezaris, Thomas Köhler, Alexander Hauptmann
Publié dans: Proceedings of the 2017 ACM on Multimedia Conference - MM '17, 2017, Page(s) 1980-1982, ISBN 9781-450349062
Éditeur: ACM Press
DOI: 10.1145/3123266.3132056

Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation

Auteurs: Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp
Publié dans: Proceedings of the ACM Recommender Systems Challenge 2018 on - RecSys Challenge '18, 2018, Page(s) 1-6, ISBN 9781-450365864
Éditeur: ACM Press
DOI: 10.1145/3267471.3267476

Attend2trend: Attention Model for Real-Time Detecting and Forecasting of Trending Topics

Auteurs: Ahmed Saleh, Ansgar Scherp
Publié dans: 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, Page(s) 1509-1510, ISBN 978-1-5386-9288-2
Éditeur: IEEE
DOI: 10.1109/ICDMW.2018.00222

ITI-CERTH participation in TRECVID 2018

Auteurs: Konstantinos Avgerinakis; Anastasia Moumtzidou; Damianos Galanopoulos; Georgios Orfanidis; Stelios Andreadis; Foteini Markatopoulou; Elissavet Batziou; Konstantinos Ioannidis; Stefanos Vrochidis; Vasileios Mezaris; Ioannis Kompatsiaris
Publié dans: TRECVID 2018, Numéro 9, 2018
Éditeur: TRECVID 2018
DOI: 10.5281/zenodo.2640596

Towards an Incremental Schema-level Index for Distributed Linked Open Data Graphs

Auteurs: Blume, Till; Scherp, Ansgar
Publié dans: Numéro 1, 2018
Éditeur: http://ceur-ws.org
DOI: 10.5281/zenodo.1403699

Inferring knowledge acquisition through Web navigation behaviours

Auteurs: He Yu
Publié dans: Proc. of the 13th EC-TEL Doctoral Consortium co-located with 13th European Conference on Technology Enhanced Learning, 2018
Éditeur: http://ceur-ws.org
DOI: 10.5281/zenodo.2640890

Towards Flexible Indices for Distributed Graph Data: The Formal Schema-level Index Model FLuID

Auteurs: Blume, Till; Scherp, Ansgar
Publié dans: Numéro 5, 2018
Éditeur: http://ceur-ws.org
DOI: 10.5281/zenodo.1309216

Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels

Auteurs: Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
Publié dans: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization - UMAP '18, 2018, Page(s) 197-205, ISBN 9781-450355896
Éditeur: ACM Press
DOI: 10.1145/3209219.3209236

Strategy building for a knowledge repository with a novel expert information fusion tool

Auteurs: Andrzej M.J. Skulimowski
Publié dans: ec.europa.eu/jrc, 2018
Éditeur: http://ec.europa.eu/jrc/
DOI: 10.5281/zenodo.2698504

Expert Delphi Survey as a Cloud-Based Decision Support Service

Auteurs: Andrzej M.J. Skulimowski
Publié dans: 2017 IEEE 10th Conference on Service-Oriented Computing and Applications (SOCA), 2017, Page(s) 190-197, ISBN 978-1-5386-1326-9
Éditeur: IEEE
DOI: 10.1109/soca.2017.33

Virtualizing face-2-face trainings for training senior professionals - a comparative case study on financial auditors

Auteurs: Viktoria Pammer-Schindler, Stefan Thalmann, Angela Fessl, Julia Füssel
Publié dans: Proceedings of the Fifth Annual ACM Conference on Learning at Scale - L@S '18, 2018, Page(s) 1-4, ISBN 9781-450358866
Éditeur: ACM Press
DOI: 10.1145/3231644.3231695

increasing Research Creativity Through Open Innovation Platform

Auteurs: T. Koehler, A.M.J. Skulimowski
Publié dans: Proc of the 12th International Conference on Knowledge Information and Creativity Support Systems (KICSS’2017), 2017
Éditeur: KICSS 2017

VERGE in VBS 2017

Auteurs: Anastasia Moumtzidou, Theodoros Mironidis, Fotini Markatopoulou, Stelios Andreadis, Ilias Gialampoukidis, Damianos Galanopoulos, Anastasia Ioannidou, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis Patras
Publié dans: International Conference on Multimedia Modeling MMM 2017, 2016, Page(s) 486-492
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-51814-5_46

eScience-Forschungsmethodik – ein neuer Ansatz für eine kollaborative Wissenschaft

Auteurs: T. Köhler, A. Scherp, C. Koschtial, C. Felden, S. Herbst
Publié dans: Synergie. Fachmagazin für Digitalisierung in der Lehre, 2016
Éditeur: Synergie. Fachmagazin für Digitalisierung in der Lehre
DOI: 10.5281/zenodo.439051

Qualitative Analysis of Vocabulary Evolution on the Linked Open Data Cloud

Auteurs: Abdel-Qader, Mohammad; Scherp, Ansgar
Publié dans: Proceedings of the 3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES), Numéro 7, 2016
Éditeur: 3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES)
DOI: 10.5281/zenodo.61521

A Comparison of Approaches for Automated Text Extraction from Scholarly Figures.

Auteurs: Falk Böschen, Ansgar Scherp
Publié dans: Proceedings of the International Conference on Multimedia Modeling, MMM 2017, 2016, Page(s) 15-27
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-51811-4_2

Moving the Industry 4.0

Auteurs: Günther, Franziska; Heinz, Matthias; Fessl, Angela
Publié dans: Proceeding of the Professionelles Wissensmanagement, Numéro 1, 2017
Éditeur: Professionelles Wissensmanagement
DOI: 10.5281/zenodo.456320

Video aesthetic quality assessment using kernel Support Vector Machine with isotropic Gaussian sample uncertainty (KSVM-IGSU)

Auteurs: Christos Tzelepis, Eftichia Mavridaki, Vasileios Mezaris, Ioannis Patras
Publié dans: 2016 IEEE International Conference on Image Processing (ICIP), 2016, Page(s) 2410-2414, ISBN 978-1-4673-9961-6
Éditeur: IEEE
DOI: 10.1109/ICIP.2016.7532791

Deep Multi-task Learning with Label Correlation Constraint for Video Concept Detection

Auteurs: Foteini Markatopoulou, Vasileios Mezaris, Ioannis Patras
Publié dans: Proceedings of the 2016 ACM on Multimedia Conference - MM '16, 2016, Page(s) 501-505, ISBN 9781-450336031
Éditeur: ACM Press
DOI: 10.1145/2964284.2967271

Profiling vs. Time vs. Content - What does Matter for Top-k Publication Recommendation based on Twitter Profiles?

Auteurs: Chifumi Nishioka, Ansgar Scherp
Publié dans: Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries - JCDL '16, 2016, Page(s) 171-180, ISBN 9781-450342292
Éditeur: ACM Press
DOI: 10.1145/2910896.2910898

ITI-CERTH participation in TRECVID 2016

Auteurs: Foteini Markatopoulou; Anastasia Moumtzidou; Damianos Galanopoulos; Theodoros Mironidis; Vagia Kaltsa; Anastasia Ioannidou; Spyridon Symeonidis; Konstantinos Avgerinakis; Stelios Andreadis; Ilias Gialampoukidis; Stefanos Vrochidis; Alexia Briassouli; Vasileios Mezaris; Ioannis Kompatsiaris; Ioannis Patras
Publié dans: TRECVID 2016, Numéro 3, 2016
Éditeur: TRECVID 2016
DOI: 10.5281/zenodo.200498

Adaptive and Reflective Training Support for Improving Search Behaviour in Industry 4.0

Auteurs: A. Fessl, S. Thalmann, V. Pammer-Schindler
Publié dans: Proceedings of the Professional Knowledge Management, 2017
Éditeur: Professional Knowledge Management
DOI: 10.5281/zenodo.571111

MOVING research methodology toward EScience

Auteurs: Th. Köhler, D. Pscheida, A. Scherp, C. Koschtial, C. Felden, J Neumann
Publié dans: Proceedings of the 18th GENERAL ONLINE RESEARCH CONFERENCE, 2017
Éditeur: 18th GENERAL ONLINE RESEARCH CONFERENCE
DOI: 10.5281/zenodo.579935

Linear Maximum Margin Classifier for Learning from Uncertain Data

Auteurs: Christos Tzelepis, Vasileios Mezaris, Ioannis Patras
Publié dans: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numéro 40/12, 2018, Page(s) 2948-2962, ISSN 0162-8828
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPAMI.2017.2772235

Open Innovation in the Big Data Era With the MOVING Platform

Auteurs: Iacopo Vagliano, Franziska Gunther, Matthias Heinz, Aitor Apaolaza, Irina Bienia, Gert Breitfuss, Till Blume, Chrysa Collyda, Angela Fessl, Sebastian Gottfried, Peter Hasitschka, Jasmin Kellermann, Thomas Kohler, Annalouise Maas, Vasileios Mezaris, Ahmed Saleh, Andrzej M.J. Skulimowski, Stefan Thalmann, Markel Vigo, Alfred Wertner, Michael Wiese, Ansgar Scherp
Publié dans: IEEE MultiMedia, Numéro 25/3, 2018, Page(s) 8-21, ISSN 1070-986X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mmul.2018.2873495

Survey and empirical comparison of different approaches for text extraction from scholarly figures

Auteurs: Falk Böschen, Tilman Beck, Ansgar Scherp
Publié dans: Multimedia Tools and Applications, Numéro 77/22, 2018, Page(s) 29475-29505, ISSN 1380-7501
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11042-018-6162-7

A deep generic to specific recognition model for group membership analysis using non-verbal cues

Auteurs: Wenxuan Mou, Christos Tzelepis, Vasileios Mezaris, Hatice Gunes, Ioannis Patras
Publié dans: Image and Vision Computing, Numéro 81, 2019, Page(s) 42-50, ISSN 0262-8856
Éditeur: Elsevier BV
DOI: 10.1016/j.imavis.2018.09.005

Event-based media processing and analysis: A survey of the literature

Auteurs: Christos Tzelepis, Zhigang Ma, Vasileios Mezaris, Bogdan Ionescu, Ioannis Kompatsiaris, Giulia Boato, Nicu Sebe, Shuicheng Yan
Publié dans: Image and Vision Computing, Numéro 53, 2016, Page(s) 3-19, ISSN 0262-8856
Éditeur: Elsevier BV
DOI: 10.1016/j.imavis.2016.05.005

What to Read Next? Challenges and Preliminary Results in Selecting Representative Documents

Auteurs: Tilman Beck, Falk Böschen, Ansgar Scherp
Publié dans: Database and Expert Systems Applications - DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings, Numéro 903, 2018, Page(s) 230-242, ISBN 978-3-319-99132-0
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-99133-7_19

Training Researchers with the MOVING Platform

Auteurs: Iacopo Vagliano, Angela Fessl, Franziska Günther, Thomas Köhler, Vasileios Mezaris, Ahmed Saleh, Ansgar Scherp, Ilija Šimić
Publié dans: MultiMedia Modeling - 25th International Conference, MMM 2019, Thessaloniki, Greece, January 8–11, 2019, Proceedings, Part II, Numéro 11296, 2019, Page(s) 560-565, ISBN 978-3-030-05715-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-05716-9_46

Temporal Lecture Video Fragmentation Using Word Embeddings

Auteurs: Damianos Galanopoulos, Vasileios Mezaris
Publié dans: MultiMedia Modeling - 25th International Conference, MMM 2019, Thessaloniki, Greece, January 8–11, 2019, Proceedings, Part II, Numéro 11296, 2019, Page(s) 254-265, ISBN 978-3-030-05715-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-05716-9_21

A Case Study of Closed-Domain Response Suggestion with Limited Training Data

Auteurs: Lukas Galke, Gunnar Gerstenkorn, Ansgar Scherp
Publié dans: Database and Expert Systems Applications - DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings, Numéro 903, 2018, Page(s) 218-229, ISBN 978-3-319-99132-0
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-99133-7_18

VERGE in VBS 2019

Auteurs: Stelios Andreadis, Anastasia Moumtzidou, Damianos Galanopoulos, Foteini Markatopoulou, Konstantinos Apostolidis, Thanassis Mavropoulos, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis Patras
Publié dans: MultiMedia Modeling - 25th International Conference, MMM 2019, Thessaloniki, Greece, January 8–11, 2019, Proceedings, Part II, Numéro 11296, 2019, Page(s) 602-608, ISBN 978-3-030-05715-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-05716-9_53

Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud

Auteurs: Mohammad Abdel-Qader, Ansgar Scherp, Iacopo Vagliano
Publié dans: The Semantic Web, Numéro 10843, 2018, Page(s) 1-16, ISBN 978-3-319-93416-7
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-93417-4_1

Szenarien des Technology Enhanced Learning (TEL) und Technology Enhanced Teaching (TET) in der akademischen Bildung

Auteurs: Thomas Köhler, Christoph Igel, Heinz-Werner Wollersheim
Publié dans: Digitalisierung und Hochschulentwicklung, 2018, ISBN 978-3-8309-3868-2
Éditeur: waxmann
DOI: 10.5281/zenodo.2711027

Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents

Auteurs: Ahmed Saleh, Tilman Beck, Lukas Galke, Ansgar Scherp
Publié dans: Maturity and Innovation in Digital Libraries - 20th International Conference on Asia-Pacific Digital Libraries, ICADL 2018, Hamilton, New Zealand, November 19-22, 2018, Proceedings, Numéro 11279, 2018, Page(s) 290-303, ISBN 978-3-030-04256-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-04257-8_30

Analyzing the Evolution of Linked Vocabularies

Auteurs: Mohammad Abdel-Qader, Iacopo Vagliano, Ansgar Scherp
Publié dans: Cell Culture Techniques, Numéro 145, 2019, Page(s) 409-424, ISBN 978-1-4939-9227-0
Éditeur: Springer New York
DOI: 10.1007/978-3-030-19274-7_29

Concept-Based and Event-Based Video Search in Large Video Collections

Auteurs: Foteini Markatopoulou, Damianos Galanopoulos, Christos Tzelepis, Vasileios Mezaris, Ioannis Patras
Publié dans: Big Data Analytics for Large-Scale Multimedia Search, 2019, Page(s) 31-60, ISBN 9781-119376996
Éditeur: John Wiley & Sons, Ltd
DOI: 10.1002/9781119376996.ch2

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