Refereed Conference Publications

[C.17] Grigoriu, A., Zaveri, A.,Weiss, G., Dumontier, M. Semi-automatic Semantic Enhancement  of Datasets using Concept Recognition. In: Proceedings of the Community of Special Interest (COSI) Bio-Ontologies (2019).

[C.16] Moodley, K., Zaveri, A., Wu, C., Dumontier M: A unified metadata model to capture
assertions and provenance for chemical substance APIs. In: Proceedings of the 11th
Semantic Web Applications and Tools for Healthcare and Life Sciences (2018).

[C.15] Emonet V., Malic A., Zaveri, A., A. Grigoriu, M. Dumontier: Data2Services: enabling
automated conversion of data to services. In: Proceedings of the 11th Semantic Web
Applications and Tools for Healthcare and Life Sciences.
DOI: 10.6084/m9.figshare.7345868.v1 (2018).

[C.14] Zaveri, A., Serrano, PH., Desai, D., Dumontier, M.. 2018. CrowdED: Guideline for Optimal  Crowdsourcing Experimental Design. In: Companion Proceedings of the The Web  Conference 2018. International World Wide Web Conferences Steering Committee,
Republic and Canton of Geneva, Switzerland, 1109-1116.  DOI: 10.1145/3184558.3191543 (2018).

[C.13] Dastgheib, S., Whetzel, T., Zaveri, A., Afrasiabi, C., Assis, P., Avillach, P., Jagodnik, K.,
Korodi, G., Pilarczyk, M., De Pons, J., Schurer, S., Terryn, R., Verborgh, R., Wu, C.,
Dumontier, M. The smartAPI ecosystem for making Web APIs FAIR. In: Proceedings of
the 16th International Semantic Web Conference: Posters and Demos (2017).

[C.12] Zaveri, A., Dastgheib, S., Whetzel, T., Verborgh, R., Avillach, P., Korodi, G., Terryn, R.,
Jagodnik, K., Assis, P., Wu, C., Dumontier, M. smartAPI: towards a more intelligent
network of Web APIs. In: Blomqvist, E., Maynard, D., Gangemi, A., Hoekstra, R., Hitzler,
P., Hartig, O. (eds.). In: Proceedings of the 14th ESWC. Lecture Notes in Computer
Science, vol. 10250, pp. 154–169. Springer. DOI:10.1007/978-3-319-58451-51 (2017).
Note: Won Best Paper Award at ESWC 2017

[C.11] Hassan, U.U., Curry, E., Zaveri, A., Marx, E., Lehmann, J.: ACRyLIQ: Leveraging DBpedia  for Adaptive Crowdsourcing in Linked Data Quality Assessment. In: Proceedings of the  20th International Conference on Knowledge Engineering and Knowledge Management  (EKAW), November 19-23, 2016, Bologna, Italy. (2016).

[C.10] Esteves, D., Mendes, P.N., Moussallem, D., Duarte, J.C., Zaveri, A., Lehmann, J., Neto,
C.B., Costa, I., Cavalcanti, M.C.: Mex interfaces: Automating machine learning metadata
generation. In: Proceedings of the 12th International Conference on Semantic Systems
(SEMANTiCS 2016), 12-15 September 2016, Leipzig, Germany (2016).

[C.9] Marx, E., Zaveri, A., Moussallem, D., Rautenberg, S.: DBtrends : Exploring Query Logs for  Ranking RDF Data. In: Proceedings of the 12th International Conference on Semantic  Systems. pp. 9–16. SEMANTiCS 2016, ACM, New York, NY, USA.
DOI: 10.1145/2993318.2993322 (2016).

[C.8] Kontokostas, D., Westphal, P., Auer, S., Hellmann, S., Lehmann, J., Cornelissen, R., Zaveri, A.: Test-driven evaluation of linked data quality. In: Proceedings of the 23rd International Conference on World Wide Web. pp. 747–758. WWW ’14, International World Wide  Web Conferences Steering Committee. DOI:10.1145/2566486.2568002 (2014).

[C.7] Zillner, S., Neururer, S., Oberkampf, H., Bretschneider, C., Zaveri, A., Faix, W.: Towards a  technology roadmap for big data applications in the healthcare domain. In: Proceedings of the 12th IEEE International Conference on Information and Integration (IEEE IRI HI). pp. 291–296 (2014).

[C.6] Acosta, M., Zaveri, A., Simperl, E., Kontokostas, D., Auer, S., Lehmann, J.: Crowdsourcing  Linked Data quality assessment. In: Proceedings of the 12th International Semantic Web Conference, 21- 25 October 2013, Sydney, Australia. pp. 260–276 (2013).

[C.5] Kontokostas, D., Zaveri, A., Auer, S., Lehmann, J.: TripleCheckMate: A tool for
crowdsourcing the quality assessment of linked data. In: Proceedings of the 4th
Conference on Knowledge Engineering and Semantic Web (2013).

[C.4] Zaveri, A., Kontokostas, D., Sherif, M.A., Bühmann, L., Morsey, M., Auer, S., Lehmann, J.:  User-driven quality evaluation of DBpedia. In: Proceedings of the 9th International Conference on Semantic Systems, I-SEMANTICS ’13, Graz, Austria, September 4-6, 2013. pp. 97–104. ACM (2013).

[C.3] Zaveri, A., Vissoci, J.R.N., Daraio, C., Pietrobon, R.: Using Linked Data to Evaluate the
Impact of Research and Development in Europe: A Structural Equation Model. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., Welty, C., Janowicz, K. (eds.) 12th International Semantic Web Conference (ISWC). Lecture Notes in Computer Science, vol. 8219, pp. 244–259. Springer Berlin Heidelberg (2013).

[C.2] Zaveri, A., Pietrobon, R., Auer, S., Lehmann, J., Martin, M., Ermilov, T.:
ReDD-Observatory: Using the web of data for evaluating the Research-Disease Disparity.
In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence

[C.1] Auer, S., Weidl, M., Lehmann, J., Zaveri, A.J., Choi, K.S.: I18n of semantic web
applications. In: Proceedings of the 9th International Semantic Web Conference
(ISWC2010). Lecture Notes in Computer Science, Springer, Berlin / Heidelberg.
DOI:doi:10.1007/978-3-642-17749-1 (2010).

Refereed Journal Publications

[J.15] Zaveri, A., Hu, W., Dumontier, M.: MetaCrowd: Crowdsourcing Biomedical Metadata Quality Assessment. Human Computation Journal. To appear (2019).

[J.14] Hassan M., Zaveri A., Lehmann, J: A linked open data representation of patents
registered in the US from 2005-2017. Scientific Data volume 5, Article number: 180279

[J.13] Zaveri, A., Kontokostas, D., Hellmann, S., Umbrich, J.: Quality management of semantic  web assets (data, services and systems). Semantic Web 9(1), 1 –2 (), DOI:10.3233/SW-170287 (2018).

[J.12] Acosta, M., Zaveri, A., Simperl, E., Kontokostas, D., Flöck, F., Lehmann, J. Detecting
Linked Data quality issues via crowdsourcing: A DBpedia study. Semantic Web Journal
9(3), 303-335 IOS Press (2018).

[J.11] Hu, W., Zaveri, A., Qiu, H., Dumontier, M.: Cleaning by clustering: methodology for
addressing data quality issues in biomedical metadata. BMC Bioinformatics 18(1), 415.
DOI:10.1186/s12859-017-1832-4 (2017).

[J.10] Nelson, S.J., Oprea, T.I., Ursu, O., Bologa, C.G., Zaveri, A., Holmes, J., Yang, J.J.,
Mathias, S.L., Mani, S., Tuttle, M.S., Du- montier, M.: Formalizing drug indications on the
road to therapeutic intent. Journal of the American Medical Informatics Association
24(6), 1169–1172. DOI:10.1093/jamia/ocx064 (2017).

[J.9] Zaveri, A., Ertaylan, G.: Linked data for life sciences. Algorithms 10(4), 126.
DOI:10.3390/a10040126 (2017).

[J.8] Zaveri, A., Rula, A., Maurino, A., Pietrobon, R., Lehmann, J., Auer, S.: Quality assessment for Linked Data: A survey. Semantic web 7(1), 63–93. DOI:10.3233/SW-150175 (2016).

[J.7] Karimkhani, C., Boyers, L.N., Prescott, L., Welch, V., Delamere, F.M., Nasser, M., Zaveri, A., Hay, R.J., Vos, T., Murray, C.J.L., Margolis, D.J., Hilton, J., Maclehose, H., Williams, H.C., Dellavalle, R.P.: Global burden of skin disease as reflected in cochrane database of  systematic review. In: JAMA Dermatology. vol. 150, pp. 945–951 (2014).

[J.6] Zaveri, A., Maurino, A., Equille, L.B.: Web data quality: Current state and new
challenges. Int. J. Semant. Web Inf. Syst. 10(2), 1–6. DOI:10.4018/ijswis.2014040101

[J.5] Zaveri, A., Lehmann, J., Auer, S., Hassan, M.M., Sherif, M.A., Martin, M.: Publishing and  interlinking the global health observatory dataset. Semantic Web Journal Special Call for Linked Dataset descriptions (3), 315–322 (2013).

[J.4] Zaveri, A., Shah, J., Pradhan, S., Rodrigues, C., Barros, J., Ang, B.T., Pietrobon, R.: Center  of excellence in research reporting in neurosurgery – diagnostic ontology. PLOS ONE 7(5), 1–7. DOI:10.1371/journal.pone.0036759 (2012).

[J.3] Zaveri, A., Cofiel, L., Shah, J., Pradhan, S., Chan, E., Dameron, O., Pietrobon, R., Ang, B.T.: Achieving high research reporting quality through the use of computational ontologies. Neuroinformatics 8(4), 261–271, DOI:10.1007/s12021-010-9079-5 (2010).

[J.2] Cofiel, L., Zammar, G.R., Zaveri, A.J., Shah, J.Y., Carvalho, E., Nahm, M., Kesselring, G.,
Pietrobon, R.: A system dynamics analysis determining willingness to wait and pay for
the implementation of data standards in clinical research. Health Research Policy and
Systems 8(1), 38. DOI:10.1186/1478-4505-8-38 (2010).

[J.1] Pietrobon, R., Zaveri, A., Cofiel, L., Barros, J., Shah, J.: Computational ontologies in
orthopaedic surgery. Clinical Orthopaedics and Related Research 468(10), 2612–2620.
DOI:10.1007/s11999-010-1382-9 (2010).

Refereed Workshop Publications

[W.7] Nayak, S., Zaveri, A., Dumontier, M.: Quality assessment of biomedical metadata using topic modeling. In: Semantic Web solutions for large-scale biomedical data analytics. ESWC (2018).

[W.6] Zaveri, A., Serrano, P.H., Desai, M., Dumontier, M.: CrowdED: Guideline for optimal
crowdsourcing experimental design. In: Companion Proceedings of the The Web
Conference 2018. pp. 1109–1116. WWW ’18, International World Wide Web
Conferences Steering Committee, Republic and Canton of Geneva, Switzerland. DOI:10.1145/3184558.3191543 (2018).

[W.5] Zaveri, A., Dumontier, M.: MetaCrowd: Crowdsourcing biomedical metadata quality
assessment. In: Proceedings of the Community of Special Interest (COSI) Bio-Ontologies

[W.4] Zaveri, A., Dumontier, M.: Ontology mapping for life science linked data. In: Proceedings of the First International Workshop on Biomedical Data Integration and Discovery (BMDID) (2016).

[W.3] Rula, A., Zaveri, A.: Methodology for assessment of linked data quality. In: 1st
Workshop on Linked Data Quality Sept. 2, 2014, Leipzig, Germany (2014).

[W.2] Zaveri, A., Nowick, K., Lehmann, J.: Towards biomedical data integration for analyzing the evolution of cognition. In: Proceedings of Ontology and Data in Life Sciences Workshop (ODLS) (2013).

[W.1] Zaveri, A., Pietrobon, R., Ermilov, T., Martin, M., Heino, N., Auer, S.: Evaluating the
disparity between active areas of biomedical research and the global burden of disease
employing linked data and data-driven discovery. In: H.Herre, R.Hoehndorf, J.S. (ed.)
OBML 2010 Workshop Proceedings. vol. IMISE Report. IMISE, Mannheim (2010).


[T.1] Zaveri, A.: Linked Data Quality Assessment and its Application to Societal Progress
Measurement. Ph.D. thesis, University of Leipzig, (2015).

Book Chapters

[B.2] Zaveri, A., Rula, A.: Data Quality and Data Cleansing of Semantic Data, pp. 11–17.
Springer International Publishing, Cham (2018).

[B.1] Auer, S., Lehmann, J., Ngomo, A.C.N., Zaveri, A.: Introduction to linked data and its
lifecycle on the web. In: Reasoning Web. pp. 1–90 (2013).


[E.5] Acosta, M., Berners-Lee, T., Dietze, S., Dimou, A., Domingue, J., Ibánez, LD., Janowicz, K., Vidal, ME. and Zaveri, A. 2019. Linked Data on the Web and its Relationship with
Distributed Ledgers (LDOW/LDDL). In Companion Proceedings of The 2019 World Wide
Web Conference (WWW ’19), Ling Liu and Ryen White (Eds.). ACM, New York, NY, USA,
823-839. DOI: 10.1145/3308560.3317072 (2019).

[E.4] Hitzler, P., Fernandez, M., Janowicz, K., Zaveri, A., Gray, A., Lopez, V., Haller, A.,
Hammar, K. 2019. The Semantic Web: 16th International Conference, ESWC 2019,
Portoroz, Slovenia, June 2–6, 2019, Proceedings. Springer (2019).

[E.3] Demidova, Elena, Zaveri, A.J. and Simperl, Elena (eds.). Emerging topics in semantic
technologies (Studies on the Semantic Web, 36), vol. 36, IOS Press, 254pp (2018).

[E.2] Debattista, J., Umbrich, J., Fernandez, J.D., Rula, A., Zaveri, A., Knuth, M., Kontokostas, D. (eds.): Joint Proceedings of the 2nd Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW 2016) and the 3rd Workshop on Linked Data
Quality (LDQ) (2016), co-located with 13th European Semantic Web Conference. No.
1585 in CEUR Workshop Proceedings, Heraklion. (2016).

[E.1] Rula, A., Zaveri, A., Knuth, M., Kontokostas, D. (eds.): Proceedings of the 2nd Workshop on Linked Data Quality (LDQ). No. 1376 in CEUR Workshop Proceedings, Portoroz, (2015).

Other Publications

[O.2] Vissoci, JRN., Garcia, CR., Andrade, LD., Santana, JE., Zaveri, A., Pietrobon, R. A
Framework for Reproducible, Interactive Research: Application to health and social
sciences. (2013).

[O.1] Sebastian Hellmann, Jörg Unbehauen, Amrapali Zaveri, Jens Lehmann, Sören Auer,
Sebastian Tramp, Hugh Williams, Orri Erling, Ted Thibodeau Jr., Kingsley Idehen,
Andreas Blumauer, Helmut Nagy. LOD2 Deliverable D3.1.1: Report on Knowledge
Extraction from Structured Sources (2011).

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