Dr. Sahar Vahdati

Dr. Sahar Vahdati left SDA. The profile below reflects the status at the point of her departure and is no longer updated.

Research Associate
Information Systems Group
University of Oxford

Profiles: LinkedIn, Google Scholar, DBLP

Email: vahdati@cs.uni-bonn.de

Short CV

Research Associate at the Smart Data Analytics Group, Institute for Computer Science III, Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany (July 2017 – present)

Main research areas: Knowledge Management, Knowledge Embedding, Semantic Web, Scholarly Communication Metadata, Semantic Data Integration, Knowledge Graph Integration and Mining, Linked Data, Semantic Web Services, and Web APIs
Research projects: OpenAIRE H2020 (Leading Linked Data Team), OpenResearch (Moderator, Main Developer)

Research Associate at the Intelligent Database Group, Institute for Computer Science III, Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany (October 2012 – present)

Main research areas: Intelligent Information Systems, Temporal Information Systems, Deductive Databases (Datalog).

Research Interests

Linked Data, Semantic Web
Knowledge Graph Integration
Knowldge Graph Embedding
Open Data, Semantic Publishing
Metadata Management
Deductive Databases (Datalog)

Projects

Publications

61 entries « ‹ 1 of 2 › »

2022

Vlad, Adriano; Vahdati, Sahar; Nayyeri, Mojtaba; Bellomarini, Luigi; Sallinger, Emanuel

Towards Hybrid Logic-based and Embedding-based Reasoning on Financial Knowledge Graphs Inproceedings

In: Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, Edinburgh, UK, March 29, 2022, CEUR-WS.org, 2022.

Nayyeri, Mojtaba; Vahdati, Sahar; Khan, Md Tansen; Alam, Mirza Mohtashim; Wenige, Lisa; Behrend, Andreas; Lehmann, Jens

Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion Inproceedings

In: The Semantic Web - 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 - June 2, 2022, Proceedings, pp. 253–269, Springer, 2022.

Wu, Lianlong; Sallinger, Emanuel; Sherkhonov, Evgeny; Vahdati, Sahar; Gottlob, Georg

Rule Learning over Knowledge Graphs with Genetic Logic Programming Inproceedings

In: 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022, pp. 3373–3385, IEEE, 2022.

Alam, Mirza Mohtashim; Rony, Md. Rashad Al Hasan; Nayyeri, Mojtaba; Mohiuddin, Karishma; Akter, M. S. T. Mahfuja; Vahdati, Sahar; Lehmann, Jens

Language Model Guided Knowledge Graph Embeddings Journal Article

In: IEEE Access, vol. 10, pp. 76008–76020, 2022.

Bellomarini, Luigi; Fayzrakhmanov, Ruslan R.; Gottlob, Georg; Kravchenko, Andrey; Laurenza, Eleonora; Nenov, Yavor; Reissfelder, Stéphane; Sallinger, Emanuel; Sherkhonov, Evgeny; Vahdati, Sahar; Wu, Lianlong

Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice Journal Article

In: Future Gener. Comput. Syst., vol. 129, pp. 407–422, 2022.

2021

Nayyeri, Mojtaba; Vahdati, Sahar; Aykul, Can; Lehmann, Jens

5* Knowledge Graph Embeddings with Projective Transformations Inproceedings

In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp. 9064–9072, AAAI Press, 2021.

Nayyeri, Mojtaba; Cil, Gökce Müge; Vahdati, Sahar; Osborne, Francesco; Kravchenko, Andrey; Angioni, Simone; Salatino, Angelo A.; Recupero, Diego Reforgiato; Motta, Enrico; Lehmann, Jens

Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain Journal Article

In: IEEE Access, vol. 9, pp. 116002–116014, 2021.

Nayyeri, Mojtaba; Vahdati, Sahar; Aykul, Can; Lehmann, Jens

5* Knowledge Graph Embeddings with Projective Transformations Inproceedings

In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp. 9064–9072, AAAI Press, 2021.

Nayyeri, Mojtaba; Vahdati, Sahar; Sallinger, Emanuel; Alam, Mirza Mohtashim; Yazdi, Hamed Shariat; Lehmann, Jens

Pattern-Aware and Noise-Resilient Embedding Models Inproceedings

In: Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I, pp. 483–496, Springer, 2021.

Nayyeri, Mojtaba; Xu, Chengjin; Hoffmann, Franca; Alam, Mirza Mohtashim; Lehmann, Jens; Vahdati, Sahar

Knowledge Graph Representation Learning using Ordinary Differential Equations Inproceedings

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 9529–9548, Association for Computational Linguistics, 2021.

Westphal, Patrick; Vahdati, Sahar; Lehmann, Jens

A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics Inproceedings

In: Inductive Logic Programming - 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings, pp. 266–281, Springer, 2021.

Nayyeri, Mojtaba; Xu, Chengjin; Yaghoobzadeh, Yadollah; Vahdati, Sahar; Alam, Mirza Mohtashim; Yazdi, Hamed Shariat; Lehmann, Jens

Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models Inproceedings

In: Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III, pp. 77–89, Springer, 2021.

Fazeli-Varzaneh, Mohsen; Ghorbi, Ali; Ausloos, Marcel; Sallinger, Emanuel; Vahdati, Sahar

Sleeping Beauties of Coronavirus Research Journal Article

In: IEEE Access, vol. 9, pp. 21192–21205, 2021.

Nayyeri, Mojtaba; Cil, Gökce Müge; Vahdati, Sahar; Osborne, Francesco; Kravchenko, Andrey; Angioni, Simone; Salatino, Angelo A.; Recupero, Diego Reforgiato; Motta, Enrico; Lehmann, Jens

Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain Journal Article

In: IEEE Access, vol. 9, pp. 116002–116014, 2021.

Nayyeri, Mojtaba; Cil, Gökce Müge; Vahdati, Sahar; Osborne, Francesco; Rahman, Mahfuzur; Angioni, Simone; Salatino, Angelo A.; Recupero, Diego Reforgiato; Vassilyeva, Nadezhda; Motta, Enrico; Lehmann, Jens

Trans4E: Link prediction on scholarly knowledge graphs Journal Article

In: Neurocomputing, vol. 461, pp. 530–542, 2021.

Lackner, Arthur; Fathalla, Said; Nayyeri, Mojtaba; Behrend, Andreas; Manthey, Rainer; Auer, Sören; Lehmann, Jens; Vahdati, Sahar

Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade Journal Article

In: Scientometrics, vol. 126, no. 9, pp. 8129–8151, 2021.

Vahdati, Sahar; Fathalla, Said; Lange, Christoph; Behrend, Andreas; Say, Aysegul; Say, Zeynep; Auer, Sören

A comprehensive quality assessment framework for scientific events Journal Article

In: Scientometrics, vol. 126, no. 1, pp. 641–682, 2021.

2020

Nayyeri, Mojtaba; Zhou, Xiaotian; Vahdati, Sahar; Izanloo, Reza; Yazdi, Hamed Shariat; Lehmann, Jens

Let the Margin SlidEtextbackslash(^textbackslashmboxtextbackslash(pm textbackslash)textbackslash) for Knowledge Graph Embeddings via a Correntropy Objective Function Inproceedings

In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1–9, IEEE, 2020.

Wu, Lianlong; Sallinger, Emanuel; Sherkhonov, Evgeny; Vahdati, Sahar; Gottlob, Georg

An Evolutionary Algorithm for Rule Learning over Knowledge Graphs Inproceedings

In: Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Virtual Event, September, 2020, pp. 52–59, CEUR-WS.org, 2020.

Xu, Chengjin; Nayyeri, Mojtaba; Vahdati, Sahar; Lehmann, Jens

Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings Inproceedings

In: Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Virtual Event, September, 2020, pp. 36–42, CEUR-WS.org, 2020.

Say, Zeynep; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören

Ontology Design for Pharmaceutical Research Outcomes Inproceedings

In: Digital Libraries for Open Knowledge - 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France, August 25-27, 2020, Proceedings, pp. 119–132, Springer, 2020.

Nayyeri, Mojtaba; Vahdati, Sahar; Zhou, Xiaotian; Yazdi, Hamed Shariat; Lehmann, Jens

Embedding-Based Recommendations on Scholarly Knowledge Graphs Inproceedings

In: The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings, pp. 255–270, Springer, 2020.

Say, Aysegul; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören

Semantic Representation of Physics Research Data Inproceedings

In: Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020, Volume 2: KEOD, Budapest, Hungary, November 2-4, 2020, pp. 64–75, SCITEPRESS, 2020.

Nayyeri, Mojtaba; Zhou, Xiaotian; Vahdati, Sahar; Izanloo, Reza; Yazdi, Hamed Shariat; Lehmann, Jens

Let the Margin SlidEtextbackslash(^textbackslashmboxtextbackslash(pm textbackslash)textbackslash) for Knowledge Graph Embeddings via a Correntropy Objective Function Inproceedings

In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1–9, IEEE, 2020.

Nayyeri, Mojtaba; Xu, Chengjin; Vahdati, Sahar; Vassilyeva, Nadezhda; Sallinger, Emanuel; Yazdi, Hamed Shariat; Lehmann, Jens

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them Inproceedings

In: The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part I, pp. 438–455, Springer, 2020.

Nayyeri, Mojtaba; Alam, Mirza Mohtashim; Lehmann, Jens; Vahdati, Sahar

3D Learning and Reasoning in Link Prediction Over Knowledge Graphs Journal Article

In: IEEE Access, vol. 8, pp. 196459–196471, 2020.

Fathalla, Said; Vahdati, Sahar; Lange, Christoph; Auer, Sören

Scholarly event characteristics in four fields of science: a metrics-based analysis Journal Article

In: Scientometrics, vol. 123, no. 2, pp. 677–705, 2020.

Bellomarini, Luigi; Sallinger, Emanuel; Vahdati, Sahar

Knowledge Graphs: The Layered Perspective Incollection

In: Knowledge Graphs and Big Data Processing, vol. 12072, pp. 20–34, Springer, 2020.

Bellomarini, Luigi; Sallinger, Emanuel; Vahdati, Sahar

Reasoning in Knowledge Graphs: An Embeddings Spotlight Incollection

In: Knowledge Graphs and Big Data Processing, vol. 12072, pp. 87–101, Springer, 2020.

2019

Vahdati, Sahar

Collaborative Integration, Publishing and Analysis of Distributed Scholarly Metadata PhD Thesis

University of Bonn, 2019.

Abstract | Links | BibTeX

@phdthesis{VahdatiThesis,

title = {Collaborative Integration, Publishing and Analysis of Distributed Scholarly Metadata},

author = {Sahar Vahdati},

url = {https://d-nb.info/1181855969/34},

year  = {2019},

date = {2019-01-01},

school = {University of Bonn},

abstract = {Research is becoming increasingly digital, interdisciplinary, and data-driven and affects different en- vironments in addition to academia, such as industry, and government. Research output representation, publication, mining, analysis, and visualization are taken to a new level, driven by the increased use of Web standards and digital scholarly communication initiatives. The number of scientific publications produced by new players and the increasing digital availability of scholarly artifacts, and associated metadata are other drivers of the substantial growth in scholarly communication. The heterogeneity of scholarly artifacts and their metadata spread over different Web data sources poses a major challenge for researchers with regard to search, retrieval and exploration. For example, it has become difficult to keep track of relevant scientific results, to stay up-to-date with new scientific events and running projects, as well as to find potential future collaborators. Thus, assisting researchers with a broader integration, management, and analysis of scholarly metadata can lead to new opportunities in research and to new ways of conducting research. The data integration problem has been extensively addressed by communities in the Database, Artificial Intelligence and Semantic Web fields. However, a share of the interoperability issues are domain specific and new challenges with regard to schema, structure, or domain, arise in the context of scholarly metadata integration. Thus, a method is needed to support scientific communities to integrate and manage heterogeneous scholarly metadata in order to derive insightful analysis (e.g., quality assessment of scholarly artifacts). This thesis tackles the problem of scholarly metadata integration and develops a life cycle methodology to facilitate the integrated use of different methods, analysis techniques, and tools for improving scholarly communication. Some key steps of the metadata life cycle are implemented using a collaborative platform, which allows to keep the research communities in the loop. In particular, the use of collaborative methods is beneficial for the acquisition, integration, curation and utilization of scholarly metadata. We conducted empirical evaluations to assess the effectiveness and efficiency of the proposed approach. Our metadata transformation from legacy resources achieves reasonable performance and results in better metadata maintainability. The interlinking of metadata enhances the coherence of scholarly information spaces both qualitatively and quantitatively. Our metadata analysis techniques provide a precise quality assessment of scholarly artifacts, taking into account the perspectives of multiple stakeholders, while maintaining compatibility with existing ranking systems. These empirical evaluations and the concrete applications with a particular focus on collaborative aspects demonstrate the benefits of integrating distributed scholarly metadata.},

keywords = {},

pubstate = {published},

tppubtype = {phdthesis}

}

Research is becoming increasingly digital, interdisciplinary, and data-driven and affects different en- vironments in addition to academia, such as industry, and government. Research output representation, publication, mining, analysis, and visualization are taken to a new level, driven by the increased use of Web standards and digital scholarly communication initiatives. The number of scientific publications produced by new players and the increasing digital availability of scholarly artifacts, and associated metadata are other drivers of the substantial growth in scholarly communication. The heterogeneity of scholarly artifacts and their metadata spread over different Web data sources poses a major challenge for researchers with regard to search, retrieval and exploration. For example, it has become difficult to keep track of relevant scientific results, to stay up-to-date with new scientific events and running projects, as well as to find potential future collaborators. Thus, assisting researchers with a broader integration, management, and analysis of scholarly metadata can lead to new opportunities in research and to new ways of conducting research. The data integration problem has been extensively addressed by communities in the Database, Artificial Intelligence and Semantic Web fields. However, a share of the interoperability issues are domain specific and new challenges with regard to schema, structure, or domain, arise in the context of scholarly metadata integration. Thus, a method is needed to support scientific communities to integrate and manage heterogeneous scholarly metadata in order to derive insightful analysis (e.g., quality assessment of scholarly artifacts). This thesis tackles the problem of scholarly metadata integration and develops a life cycle methodology to facilitate the integrated use of different methods, analysis techniques, and tools for improving scholarly communication. Some key steps of the metadata life cycle are implemented using a collaborative platform, which allows to keep the research communities in the loop. In particular, the use of collaborative methods is beneficial for the acquisition, integration, curation and utilization of scholarly metadata. We conducted empirical evaluations to assess the effectiveness and efficiency of the proposed approach. Our metadata transformation from legacy resources achieves reasonable performance and results in better metadata maintainability. The interlinking of metadata enhances the coherence of scholarly information spaces both qualitatively and quantitatively. Our metadata analysis techniques provide a precise quality assessment of scholarly artifacts, taking into account the perspectives of multiple stakeholders, while maintaining compatibility with existing ranking systems. These empirical evaluations and the concrete applications with a particular focus on collaborative aspects demonstrate the benefits of integrating distributed scholarly metadata.

González-Beltrán, Alejandra N.; Osborne, Francesco; Peroni, Silvio; Vahdati, Sahar

Editorial: Special Issue on Scholarly Data Analysis (Semantics, Analytics, Visualisation) Journal Article

In: Data Sci., vol. 2, no. 1-2, pp. 177–179, 2019.

Vahdati, Sahar; Fathalla, Said; Auer, Sören; Lange, Christoph; Vidal, Maria-Esther

Semantic Representation of Scientific Publications Inproceedings

In: Digital Libraries for Open Knowledge - 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Oslo, Norway, September 9-12, 2019, Proceedings, pp. 375–379, Springer, 2019.

Ali, Mehdi; Vahdati, Sahar; Singh, Shruti; Dasgupta, Sourish; Lehmann, Jens

Improving Access to Science for Social Good Inproceedings

In: Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I, pp. 658–673, Springer, 2019.

Fathalla, Said; Vahdati, Sahar; Auer, Sören; Lange, Christoph

The scientific events ontology of the OpenResearch.org curation platform Inproceedings

In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019, pp. 2311–2313, ACM, 2019.

Fathalla, Said; Vahdati, Sahar; Lange, Christoph; Auer, Sören

SEO: A Scientific Events Data Model Inproceedings

In: The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II, pp. 79–95, Springer, 2019.

González-Beltrán, Alejandra N.; Osborne, Francesco; Peroni, Silvio; Vahdati, Sahar

Editorial: Special Issue on Scholarly Data Analysis (Semantics, Analytics, Visualisation) Journal Article

In: Data Sci., vol. 2, no. 1-2, pp. 177–179, 2019.

2018

Fathalla, Said; Vahdati, Sahar; Auer, Sören; Lange, Christoph

Metadata Analysis of Scholarly Events of Computer Science, Physics, Engineering, and Mathematics Inproceedings

In: Digital Libraries for Open Knowledge, 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Porto, Portugal, September 10-13, 2018, Proceedings, pp. 116–128, Springer, 2018.

Vahdati, Sahar; Palma, Guillermo; Nath, Rahul Jyoti; Lange, Christoph; Auer, Sören; Vidal, Maria-Esther

Unveiling Scholarly Communities over Knowledge Graphs Inproceedings

In: Digital Libraries for Open Knowledge, 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Porto, Portugal, September 10-13, 2018, Proceedings, pp. 103–115, Springer, 2018.

Fathalla, Said; Vahdati, Sahar; Auer, Sören; Lange, Christoph

SemSur: A Core Ontology for the Semantic Representation of Research Findings Inproceedings

In: Proceedings of the 14th International Conference on Semantic Systems, SEMANTiCS 2018, Vienna, Austria, September 10-13, 2018, pp. 151–162, Elsevier, 2018.

Behrend, Andreas; Gawlick, Dieter; Vahdati, Sahar; Liu, Zhen Hua

Reasoning Under Situation Awareness in a Temporal Database Inproceedings

In: Second IEEE International Conference on Robotic Computing, IRC 2018, Laguna Hills, CA, USA, January 31 - February 2, 2018, pp. 387–391, IEEE Computer Society, 2018.

Omar, Rebaz; Vahdati, Sahar; Lange, Christoph; Vidal, Maria-Esther; Behrend, Andreas

SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform Inproceedings

In: 12th IEEE International Conference on Semantic Computing, ICSC 2018, Laguna Hills, CA, USA, January 31 - February 2, 2018, pp. 41–48, IEEE Computer Society, 2018.

Behrend, Andreas; Vahdati, Sahar; Lange, Christoph; Engels, Christiane

Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events Inproceedings

In: Semantics, Analytics, Visualization - 3rd International Workshop, SAVE-SD 2017, Perth, Australia, April 3, 2017, and 4th International Workshop, SAVE-SD 2018, Lyon, France, April 24, 2018, Revised Selected Papers, pp. 1–14, Springer, 2018.

2017

Behrend, Andreas; Calvanese, Diego; Cerquitelli, Tania; Chiusano, Silvia; Engels, Christiane; Jean, Stéphane; Kozmina, Natalija; Markhoff, Béatrice; Romero, Oscar; Vahdati, Sahar

New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops Inproceedings

In: New Trends in Databases and Information Systems - ADBIS 2017 Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC, Nicosia, Cyprus, September 24-27, 2017, Proceedings, pp. 111–122, Springer, 2017.

Ameri, Shirin; Vahdati, Sahar; Lange, Christoph

Exploiting Interlinked Research Metadata Inproceedings

In: Research and Advanced Technology for Digital Libraries - 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017, Proceedings, pp. 3–14, Springer, 2017.

Fathalla, Said; Vahdati, Sahar; Lange, Christoph; Auer, Sören

Analysing Scholarly Communication Metadata of Computer Science Events Inproceedings

In: Research and Advanced Technology for Digital Libraries - 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017, Proceedings, pp. 342–354, Springer, 2017.

Fathalla, Said; Vahdati, Sahar; Auer, Sören; Lange, Christoph

Towards a Knowledge Graph Representing Research Findings by Semantifying Survey Articles Inproceedings

In: Research and Advanced Technology for Digital Libraries - 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017, Proceedings, pp. 315–327, Springer, 2017.

González-Beltrán, Alejandra N.; Osborne, Francesco; Peroni, Silvio; Vahdati, Sahar

SAVE-SD 2017: Third Workshop on Semantics, Analytics and Visualisation: Enhancing Scholarly Data Inproceedings

In: Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017, pp. 1681–1682, ACM, 2017.

Dimou, Anastasia; Vahdati, Sahar; Iorio, Angelo Di; Lange, Christoph; Verborgh, Ruben; Mannens, Erik

Challenges as enablers for high quality linked data: Insights from the semantic publishing challenge Journal Article

In: PeerJ Prepr., vol. 4, pp. e2616, 2017.

2016

Vahdati, Sahar

Facilitating the Management and Analysis of Scholarly Communication Metadata Inproceedings

In: Knowledge Engineering and Knowledge Management - EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Bologna, Italy, November 19-23, 2016, Revised Selected Papers, pp. 278–285, Springer, 2016.

Vahdati, Sahar; Arndt, Natanael; Auer, Sören; Lange, Christoph

OpenResearch: Collaborative Management of Scholarly Communication Metadata Inproceedings

In: Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, Proceedings, pp. 778–793, 2016.

61 entries « ‹ 1 of 2 › »