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Provenance Querying for End-Users: A Drug Resistance Case Study [chapter]

Bartosz Baliś, Marian Bubak, Michal Pelczar, Jakub Wach
2008 Lecture Notes in Computer Science  
We analyze the query capabilities of the presented provenance model. We also describe the process of ontology-based query construction and evaluation.  ...  The ontologies describe the execution of experiments, and the semantics of data and computations used during the execution.  ...  This work was supported by EU project Virolab IST-027446 with the related Polish grant SPUB-M and by the Foundation for Polish Science.  ... 
doi:10.1007/978-3-540-69389-5_11 fatcat:56xhqdjcxvcadg3uqoulqubmmq

ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies

Joshua Valdez, Matthew Kim, Michael Rueschman, Vimig Socrates, Susan Redline, Satya S Sahoo
2018 AMIA Annual Symposium Proceedings  
We evaluated the ProvCaRe knowledgebase with 28,474 "provenance triples" using hypothesis-driven queries to identify and rank research studies based on the provenance information extracted from published  ...  As part of the NIH Big Data to Knowledge (BD2K)-funded data provenance project, we have developed a new informatics framework called Provenance for Clinical and Healthcare Research (ProvCaRe) to extract  ...  This work is supported in part by the NIH-NIBIB Big Data to Knowledge (BD2K) 1U01EB020955 grant, NSF grant# 1636850, and the NIH-NHLBI R24HL114473 grant.  ... 
pmid:29854241 pmcid:PMC5977728 fatcat:qsxwi5zjrfashfzdk3ovpvnhtm

Improving workflow design by mining reusable tasks

Frederico E. Tosta, Vanessa Braganholo, Leonardo Murta, Marta Mattoso
2015 Journal of the Brazilian Computer Society  
Methods: In this work, we propose workflow recommender (WR), a recommendation service that aims at suggesting frequent combinations of workflow tasks for reuse.  ...  It is a fact that provenance data can help reusing third party code.  ...  Acknowledgements We would like to thank the authors of VisComplete and the VisTrails team for kindly providing us both their database and source code for our experiments.  ... 
doi:10.1186/s13173-015-0035-y fatcat:2bdrd7uq55bhbk65qeyxt33bhy

Context-aware Retail Product Recommendation with Regularized Gradient Boosting [article]

Sourya Dipta Das, Ayan Basak
2021 arXiv   pre-print
The dataset comprises over 5,000,000 recommendation events, 450,000 products and 230,000 unique users.  ...  A total of 167 participants participated in the challenge, and we secured the 6th rank during the final evaluation with an MRR of 0.4658 on the test set.  ...  We have experimented with both a ranking approach and a binary classification one, and the latter one has proven to be more effective.  ... 
arXiv:2109.08561v1 fatcat:srd3ev66ire5lc4nepk6l4uvvq

Provenance summaries for answers and non-answers

Seokki Lee, Bertram Ludäscher, Boris Glavic
2018 Proceedings of the VLDB Endowment  
Explaining why an answer is (not) in the result of a query has proven to be of immense importance for many applications.  ...  However, why-not provenance, and to a lesser degree also why-provenance, can be very large, even for small input datasets.  ...  Opinions and findings expressed in this material are those of the authors and do not necessarily reflect the views of the NSF. REFERENCES  ... 
doi:10.14778/3229863.3236233 fatcat:fxy3gujinbfc7jeun4gvafp7j4

Local Is Good: A Fast Citation Recommendation Approach [chapter]

Haofeng Jia, Erik Saule
2018 Lecture Notes in Computer Science  
In this paper, we consider the problem of citation recommendation where the query is a set of seed papers. Collaborative filtering and PaperRank are classical approaches for this task.  ...  Here we explore LocRank, a local ranking method on the subgraph induced by the ego network of the vertices in the query.  ...  Collaborative Filtering [1] has been proven to be an effective idea for most recommendation problems.  ... 
doi:10.1007/978-3-319-76941-7_73 fatcat:gpj3bgf32vcordyx7wdyo2wxte


Yi Zhang, Zachary G. Ives
2019 Proceedings of the VLDB Endowment  
, through capabilities for indexing, searching, and recommending "complementary" data sources, previously extracted machine learning features, and additional training data.  ...  provenance tracking and data (and code) reuse within their data lakes and file systems.  ...  JUNEAU addresses scientists' need to search for prior tables (and related code) not merely by keyword, but by querying using an existing table and its provenance, to find other related tables.  ... 
doi:10.14778/3352063.3352095 fatcat:6lzsycp4avc3fddbqfvt4vmgim

How Case-Based Reasoning on e-Community Knowledge Can Be Improved Thanks to Knowledge Reliability [chapter]

Emmanuelle Gaillard, Jean Lieber, Emmanuel Nauer, Amélie Cordier
2014 Lecture Notes in Computer Science  
For this, MKM uses meta-knowledge such as belief, trust and reputation, about knowledge units and users.  ...  MKM is used both to select relevant knowledge to conduct the reasoning process, and to rank results provided by the CBR engine according to the knowledge reliability.  ...  In this work, a case is a pair (query/web page) and the provenance of the case is an indicator of the quality of the result. In CBR systems, meta-knowledge is also used for case base maintenance.  ... 
doi:10.1007/978-3-319-11209-1_12 fatcat:nku7wj6bxrdo5gjjaik7p6evhe

Improving Entity Recommendation with Search Log and Multi-Task Learning

Jizhou Huang, Wei Zhang, Yaming Sun, Haifeng Wang, Ting Liu
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
In this work, we believe that the in-session contexts convey valuable evidences that could facilitate the semantic modeling of queries, and take that into consideration for entity recommendation.  ...  ranking.  ...  We would like to thank the anonymous reviewers for their insightful comments.  ... 
doi:10.24963/ijcai.2018/571 dblp:conf/ijcai/HuangZSWL18 fatcat:wp6aafzj5nbvjfdkxwmusf2qhu

Query Completion Using Bandits for Engines Aggregation [article]

Audrey Durand, Jean-Alexandre Beaumont, Christian Gagne, Michel Lemay, Sebastien Paquet
2017 arXiv   pre-print
There are many possible strategies for query auto-completion and a challenge is to design one optimal engine that considers and uses all available information.  ...  recommendations.  ...  Thanks to Coveo for providing the data and the infrastructure and to the Natural Sciences and Engineering Research Council of Canada (NSERC) for the research grant EGP 492531-15.  ... 
arXiv:1709.04095v1 fatcat:n4skx7ld2zcxlpxmv6vg3mddry

Report on the Models of Trust for the Web workshop (MTW'06)

Tim Finin, Lalana Kagal, Daniel Olmedilla
2006 SIGMOD record  
Search engines and other tools have focused on finding information relevant to users' queries with results ranked at best by their popularity.  ...  , query-targeted spam in which each page targets a single tail query, DNS spam where many domains use the same servers, and blog spam.  ... 
doi:10.1145/1228268.1228282 fatcat:5i4b6xxyh5gsvc3jiymselx32e

Implementing interoperable provenance in biomedical research

V. Curcin, S. Miles, R. Danger, Y. Chen, R. Bache, A. Taweel
2014 Future generations computer systems  
In this paper, we specify recommendations to developers on how to approach provenance modelling, capture, security, storage and querying, based on our expe- * riences with two large-scale biomedical research  ...  projects: Translational Research and Patient Safety in Europe (TRANSFoRm) and Electronic Health Records for Clinical Research (EHR4CR).  ...  The provenance data shown was created during their user tests. We would also like to thank the reviewers of an earlier version of this paper for helpful comments and constructive suggestions.  ... 
doi:10.1016/j.future.2013.12.001 fatcat:tnl3l5s7tnhdlfcfejgvec5gfe

Provenance Filtering for Multimedia Phylogeny [article]

Allan Pinto, Daniel Moreira, Aparna Bharati, Joel Brogan, Kevin Bowyer, Patrick Flynn, Walter Scheirer, Anderson Rocha
2017 arXiv   pre-print
The search is then refined in the second tier, in which we search for more specific (potentially small) parts of the query that might have been extracted from other images and spliced into the query image  ...  One of its integral pieces is provenance filtering, which consists of searching a potentially large pool of objects for the most related ones with respect to a given query, in terms of possible ancestors  ...  The contributions of this work are (i) the exploration of different querying and indexing techniques for the new problem of provenance filtering; (ii) the incorporation of provenance context to single  ... 
arXiv:1706.00447v1 fatcat:76jr6ak5ovgpthulw6vncjkcsq

Opinionated Product Recommendation [chapter]

Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
2013 Lecture Notes in Computer Science  
Instead we harness experiential cases, which are automatically mined from user generated reviews, and we use these as the basis for a form of recommendation that emphasises similarity and sentiment.  ...  We test our approach in a realistic product recommendation setting by using live-product data and user reviews.  ...  Thus if the query case is ranked 50th in a case base of 100 products by rating and a recommended case is ranked 25th then the relative rank improvement is +25%.  ... 
doi:10.1007/978-3-642-39056-2_4 fatcat:azjfhgspsfcbxfulx6sk5xxmzm

Graph Embedding for Citation Recommendation [article]

Haofeng Jia, Erik Saule
2018 arXiv   pre-print
In addition, given the learned representations, we investigate various schemes to rank the candidate papers for citation recommendation.  ...  outperforms embedding based rankings for both neighborhood construction strategies.  ...  We investigate two ranking schemes for citation recommendation: embedding based and model based. 4.  ... 
arXiv:1812.03835v1 fatcat:y7rvizwftzhobcoe2xh5ecshta
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