Elsevier Labs GitHub Repositories: https://github.com/elsevierlabs  https://github.com/elsevierlabs-os 

Selected Bibliography

Helena F. Deus (2018). Big semantic Processing in the Life Sciences Domain. Book Chapter - Encyclopedia of Big Data Technologies. Springer 2018 [pdf]

Mike Lauruhn, Helena Deus, Paul Groth, and Corey Harper (2018) Use of internal testing data to help determine compensation for crowdsourcing tasks. Augmenting Intelligence With Humans-in-the-loop (HUML 2018) Accepted Paper [Link]

Peter Cotroneo, Wouter Haak, Gabriel Oscares, Eleonora Presani, Abhinav Rohatgi and Paul Groth (2018) From Data Search to Data Showcasing: The Role of Semantic Technologies in a New Service.  Industry Track. ISWC 2018 [Link]

Elsevier’s Healthcare Knowledge Graph and the Case for Enterprise Level Linked Data Standards. Alex DeJong, Radmila Bord, Will Dowling, Rinke Hoekstra, Ryan Moquin, Charlie O, Mevan Samarasinghe, Paul Snyder, Craig Stanley, Anna Tordai, Michael Trefry, and Paul Groth. Industry Track. ISWC 2018 [Link]

Paul T. Groth, Laura Koesten, Philipp Mayr, Maarten de Rijke, Elena Simperl: DATA: SEARCH'18 - Searching Data on the Web. SIGIR 2018: 1419-1422 (abstract)

Measuring Scholarly Discourse Change with Respect to Citations – A Nobel Prize Case Study. Jessica Cox, Curt Kohler, Anthony Scerri, Corey Harper, Paul Groth and Ron Daniel. STI 2018 (Data)

Paul Groth, Michael Lauruhn, Antony Scerri, Ron Daniel Jr (2018) Open Information Extraction on Scientific Text: An Evaluation. COLING 2018 Accepted paper. [Link]

Corey Harper (2018) Ever try to Geocode a Craton? Building a geological feature geocoding engine. Presentation at FOSS4G (Free and Open Source Software 4 Geospatial), St. Louis, Missouri, May 2018 [Link] [Slides]

Jessica Cox, Corey Harper, and Anita de Waard (2018) Optimized Machine Learning Methods Predict Discourse Segment Type in Biological Research Articles. Accepted paper at Semantics, Analytics, Visualisation: Enhancing Scholarly Dissemination Workshop (SAVE-SD 2018) co-located with The Web Conference 2018. [Link]

Helena F. Deus, Ron Daniel, Corey Harper, and Darin McBeath (2017) Combining pattern matching with word embeddings for the extraction of experimental variables from scientific literature. 2017 IEEE International Conference on Big Data [Link] (see also: Elsevier Connect, Cold mice are still affecting cancer research, data shows)

Mike Lauruhn, Paul Groth, and Sujit Pal (2017). How Should We Include Automated Agents and the Crowd in Formal KOS Maintenance Processes? Accepted presentation at 11th Networked Knowledge Organization Systems (NKOS) Workshop, October 2017, Washington D.C. [Link]

Groth P, Cox J. (2017) Indicators for the use of robotic labs in basic biomedical research: a literature analysis. PeerJ 5:e3997 https://doi.org/10.7717/peerj.3997

Antonio Gulli, Sujit Pal. Deep Learning with Keras. (Book) Packt Publishing Ltd, Apr 26, 2017. [Link]

Antony Scerri, John Kuriakose, Amit Ajit Deshmane, Mark Stanger, Peter Cotroneo, Rebekah Moore, Raj Naik, Anita de Waard; "Elsevier’s approach to the bioCADDIE 2016 Dataset Retrieval Challenge", Database, Volume 2017, 1 January 2017. [Link]  

Ted Gies and Tripp Narup, "The many faces of accessibility"; Elsevier Connect; 4 April 2017. [Link

Manolis Stamatogiannakis, Elias Athanasopoulos, Herbert Bos, and Paul Groth. 2017. PROV2R: Practical Provenance Analysis of Unstructured Processes. ACM Transactions on Internet Technology 17, 4, Article 37 (August 2017), 24 pages. DOI: https://doi.org/10.1145/3062176. [Link]

Marcin WylotPhilippe Cudré-MaurouxManfred Hauswirth, Paul T. Groth:
Storing, Tracking, and Querying Provenance in Linked Data. IEEE Trans. Knowl. Data Eng. 29(8): 1751-1764 (2017) [Link]

Paul Groth and Michael Lauruhn.  “Sources of Change for Modern Knowledge Organization Systems.”  Knowledge Organization 43(8): 622-629 . [Link]

Tanya Berardini, Ron Daniel Jr., Michael Lauruhn, Leonore Reiser  "Preliminary Study on the Impact of Literature Curation in a Model Organism Database on Article Citation Rates"; D-Lib Magazine; September/October 2016. [Link

Gies, T., Boucherie, S., Narup, T., Wise, A., Giudice, N. A., "What goes unseen in accessible publishing: good practice and remaining gaps." European Science Editing, 42(3), August 2016, 66–69. [Link]

Iker Huerga and Michael P. Lauruhn. Linked Data Implications for Authority Control and Vocabularies: An STM Perspective. Chapter in Jones, Ed and Michele Seikel, (eds.) Linked Data for Cultural Heritage (An ALCTS Monograph). ALA Editions, 2016. ISBN: 978-0-8389-1439-7 [WorldCat link]

Paul Groth, Sujit Pal, Darin Mcbeath, Brad Allen, and Ron Daniel. Applying Universal Schemas for Domain Specific Ontology Expansion. In 5th Workshop on Automated Knowledge Base Construction (AKBC) 2016. [Link]

Stamatogiannakis, Manolis, Hasanat Kazmi, Hashim Sharif, Remco Vermeulen, Ashish Gehani, Herbert Bos, and Paul Groth. "Trade-Offs in Automatic Provenance Capture." In International Provenance and Annotation Workshop (IPAW2016) pp. 29-41. Springer, 2016. [Link]

Dumontier M, Gray AJG, Marshall MS, Alexiev V, Ansell P, Bader G, Baran J, Bolleman JT, Callahan A, Cruz-Toledo J, Gaudet P, Gombocz EA, Gonzalez-Beltran AN, Groth P, Haendel M, Ito M, Jupp S, Juty N, Katayama T, Kobayashi N, Krishnaswami K, Laibe C, Le Novère N, Lin S, Malone J, Miller M, Mungall CJ, Rietveld L, Wimalaratne SM, Yamaguchi A. (2016) The health care and life sciences community profile for dataset descriptions. PeerJ4:e2331 [Link]

Paul Groth. "Data ex machina", Chemistry World. June 2016 [Link]

Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., … Groth, P. , .... Mons, B. (2016). "The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018. [Link]

Keith Gutfreund. “Big Data Techniques for Predictive Business Intelligence,”, JOAMS - Journal of Advanced Management Science, Vol. 5, No. 2, pp.158-163 March 2017.

Keith Gutfreund. "Big Data Techniques for Predictive Business Intelligence", 7th International Conference on Information Management and Engineering (2015).

Debasis Ganguly, Johannes Leveling, Gareth J.F. Jones. "Context-Driven Dimensionality Reduction for Clustering Text Documents," FIRE 2015, Proceedings of the 7th Forum for Information Retrieval Evaluation, 1-7. [Link]

Johannes Leveling. "Tagging of temporal expressions and geological features in scientific articles," GIR 2015, Proceedings of the 9th Workshop on Geographic Information Retrieval. [Link]

Sara Magliacane, Philip Stutz, Paul Groth, Abraham Bernstein, "foxPSL: A Fast, Optimized and eXtended PSL implementation", International Journal of Approximate Reasoning (2015). [Link]

Ron Daniel, "Large Scale Text Analytics with Apache Spark"; Presented at Text Analytics World 2015, San Francisco. [Link

Paul Groth, "What happens when user experience pros come to your lab?"; Elsevier Connect; 28 April 2015. [Link

L. Moreau, P. Groth, J. Cheney, T. Lebo, S. Miles, The rationale of PROV, Web Semantics: Science, Services and Agents on the World Wide Web (2015). [Link

Sara Magliacane, Philip Stutz, Paul Groth, Abraham Bernstein. “FoxPSL: An Extended and Scalable PSL Implementation.” AAAI Spring Symposium Series on Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches 2015. [PDF

Marcin Wylot, Philippe Cudré-Mauroux, and Paul Groth. “Executing Provenance-Enabled Queries over Web Data”, Proceedings of the 24th International World Wide Web Conference (WWW 2015), 2015. [PDF

Ron Daniel, "New open access resource will support text mining and natural language processing"; Elsevier Connect; 12 March 2015. [Link

Elshaimaa Ali, Michael Lauruhn, Best Practice Poster: Wikipedia-based Extraction of Lightweight Ontologies for Concept Level Annotation, International Conference on Dublin Core and Metadata Applications (DC 2014), Austin, Tx [PDF]

Ron Daniel, "Predicting Citation Counts"; Research Trends; June 2014. [Link]   

Nancy Fallgren, Michael Lauruhn, Regina Romano Reynolds, and Laurie Kaplan, “The Missing Link: The Evolving Current State of Linked Data for Serials,” The Serials Librarian 66, no. 1-4 (2014): 123-138. [Link

Ted Fons, Michael Lauruhn, "NFAIS Webinar, Linked Data: An Update on Real-World Implementation," August 28, 2014. [Link

Ondrej Bojar, Christian Buck, Christian Federmann, Barry Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, et al. "Findings of the 2014 Workshop on Statistical Machine Translation", Ninth Workshop on Statistical Machine Translation, 2014.

Anita de Waard, Daniel Rotman and Mike Lauruhn, "Research data management at institutions, Part 3: Pilot projects" in Library Connect, February 7, 2014. [Link]

Anita de Waard, Daniel Rotman and Mike Lauruhn, "Research data management at institutions, Part 2: Bottlenecks" in Library Connect, February 7, 2014. [Link

Anita de Waard, Daniel Rotman and Mike Lauruhn, "Research data management at institutions, Part 1: Visions" in Library Connect, February 6, 2014 [Link

Johannes Leveling. "Interpretation of coordinations, compound generation, and result fusion for query variants", Proceedings of SIGIR 2013, 2013.

Hanna Suominen, Sanna Salanterä, Sumithra Velupillai, Wendy W. Chapman, Johannes Leveling et al. "Overview of the ShARe/CLEF eHealth Evaluation Lab 2013", Information Access Evaluation. Multilinguality, Multimodality, and Visualization, 2013.

Michael Lauruhn. In Dina J. McKelvy, AHIP (Ed.), "Technology: Introducing Linked Data to Your Library" MLA News. June/July 2013, pp. 15. [Link

Matthew Corkum, Ron Daniel Jr., Keith Gutfreund, Antony Scerri, Michael Taylor, "Query Analytics Workbench" Presented at HCIR 2012: the sixth international symposium on human-computer interaction and information retrieval. [Link]