Daniel P. Miranker

The University of Texas at Austin — United States

Computer Science · Physical Sciences

30h-index2.9kcitations158works0.02yr avg
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Research Topics

Advanced Database Systems and Queries(60), Semantic Web and Ontologies(48), Data Management and Algorithms(34), AI-based Problem Solving and Planning(28), Service-Oriented Architecture and Web Services(21)

Publications158 total

TreeTracker Join: Simple, Optimal, Fast
ACM Transactions on Database Systems·2025Open Access
TreeTracker Join: Simple, Optimal, Fast
arXiv (Cornell University)·2024Open Access
A Pay-as-you-go Methodology to Design and Build Enterprise Knowledge Graphs from Relational Databases
Lecture notes in computer science·2019· 25 cited
A Pay-As-You-Go Methodology for Ontology-Based Data Access
IEEE Internet Computing·2017· 20 cited
Towards a Pay-as-you-go Methodology for Ontology and Mapping Engineering in Ontology Based Data Access.
ISWC (Posters, Demos & Industry Tracks)·2017
Experience: Type alignment on DBpedia and Freebase
arXiv (Cornell University)·2016Open Access
Self-contained NoSQL Resources for Cross-Domain RDF
arXiv (Cornell University)·2016· 1 citedOpen Access
Local, Domain-independent Heuristics for the FEIII Challenge
2016· 1 cited
Mapping Relational Databases to Linked Data
2015· 20 cited
An unsupervised instance matcher for schema-free RDF data
Journal of Web Semantics·2015· 34 cited
On the Complexity of Sorted Neighborhood
arXiv (Cornell University)·2015· 1 citedOpen Access
A DNF Blocking Scheme Learner for Heterogeneous Datasets
arXiv (Cornell University)·2015· 9 citedOpen Access
Decision-Making Bias in Instance Matching Model Selection
Lecture notes in computer science·2015· 1 cited
Ultrawrap mapper: A semi-automatic relational database to RDF (RDB2RDF) mapping tool
International Semantic Web Conference·2015· 17 cited
An Unsupervised Instance Matcher for Schema-Free RDF Data
SSRN Electronic Journal·2015Open Access
Sorted Neighborhood for Schema-Free RDF Data
Lecture notes in computer science·2015· 6 citedOpen Access
Minimally Supervised Instance Matching: An Alternate Approach
Lecture notes in computer science·2015· 1 citedOpen Access
Semi-supervised Instance Matching Using Boosted Classifiers
Lecture notes in computer science·2015· 35 citedOpen Access
On linking heterogeneous dataset collections
2014· 3 cited
A two-step blocking scheme learner for scalable link discovery
2014· 17 cited
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Frequent Co-authors

Juan Sequeda(14), David A. Brant(4), Mayank Kejriwal(4), Salvatore J. Stolfo(4), Weijia Xu(4), Rui Mao(4), Marcelo Arenas(3), Roberto J. Bayardo(3), Bernie Lofaso(3), Smriti Ramakrishnan(3), Edward M. Marcotte(3), Syed Hamid Tirmizi(2), Christine Vogel(2), John T. Prince(2), Luiz O. F. Penalva(2), Vasilis Samoladas(2), James C. Browne(2), Willard J. Briggs(2), Philippe Cudré-Mauroux(1), Iliya Enchev(1)