D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 38 Citations 6,536 178 World Ranking 6451 National Ranking 3098

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Database

His primary areas of study are Information retrieval, Data mining, Ontology, Ontology and Data integration. As a part of the same scientific family, David W. Embley mostly works in the field of Information retrieval, focusing on Web page and, on occasion, Web service. When carried out as part of a general Data mining research project, his work on Data management is frequently linked to work in Data source, therefore connecting diverse disciplines of study.

His Ontology study integrates concerns from other disciplines, such as Context, Precision and recall, Application domain, World Wide Web and Database schema. While the research belongs to areas of Ontology, David W. Embley spends his time largely on the problem of Semantic Web, intersecting his research to questions surrounding Data science, Table and Conceptual model. David W. Embley interconnects Star schema, Source schema, Scalability and Exponential complexity in the investigation of issues within Data integration.

His most cited work include:

  • Conceptual-model-based data extraction from multiple-record Web pages (312 citations)
  • Object-oriented systems analysis: a model-driven approach (274 citations)
  • Record-boundary discovery in Web documents (250 citations)

What are the main themes of his work throughout his whole career to date?

Information retrieval, Ontology, Data mining, World Wide Web and Programming language are his primary areas of study. His Information retrieval research is multidisciplinary, relying on both Ontology, Web page and Table. His Ontology study combines topics from a wide range of disciplines, such as Precision and recall and Context.

His work on Static web page as part of general Web page research is frequently linked to Data extraction, thereby connecting diverse disciplines of science. His research in the fields of Web modeling, Data Web and Web service overlaps with other disciplines such as Information system. The various areas that David W. Embley examines in his Programming language study include Query language and RDF query language.

He most often published in these fields:

  • Information retrieval (36.50%)
  • Ontology (16.00%)
  • Data mining (14.50%)

What were the highlights of his more recent work (between 2009-2018)?

  • Information retrieval (36.50%)
  • Artificial intelligence (9.50%)
  • Natural language processing (8.00%)

In recent papers he was focusing on the following fields of study:

David W. Embley spends much of his time researching Information retrieval, Artificial intelligence, Natural language processing, Ontology and Information extraction. His Information retrieval research integrates issues from Table and Conceptualization. His research integrates issues of Object-oriented programming, First-order logic and Systems modeling in his study of Artificial intelligence.

His work carried out in the field of Ontology brings together such families of science as Domain and Sketch. His Information extraction research is multidisciplinary, incorporating perspectives in Ontology, Active learning and Hidden Markov model. He interconnects Structure and Data mining in the investigation of issues within Unsupervised learning.

Between 2009 and 2018, his most popular works were:

  • Handbook of Conceptual Modeling: Theory, Practice, and Research Challenges (54 citations)
  • Reusing ontologies and language components for ontology generation (45 citations)
  • Handbook of Conceptual Modeling (31 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • Database

David W. Embley mostly deals with Information retrieval, Management science, Software engineering, Big data and Conceptual model. The various areas that David W. Embley examines in his Information retrieval study include Artificial intelligence and Natural language processing. The Conceptual model and Ontology-based data integration research David W. Embley does as part of his general Software engineering study is frequently linked to other disciplines of science, such as Order and Manifesto, therefore creating a link between diverse domains of science.

David W. Embley has researched Big data in several fields, including Variety and Data science. As a part of the same scientific study, David W. Embley usually deals with the Conceptual model, concentrating on Domain model and frequently concerns with Relational database. His work carried out in the field of Data mining brings together such families of science as Table and Search engine indexing.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Conceptual-model-based data extraction from multiple-record Web pages

D. W. Embley;D. M. Campbell;Y. S. Jiang;S. W. Liddle.
data and knowledge engineering (1999)

545 Citations

Record-boundary discovery in Web documents

D. W. Embley;Y. Jiang;Y.-K. Ng.
international conference on management of data (1999)

474 Citations

Object-oriented systems analysis: a model-driven approach

David W. Embley;Barry D. Kurtz;Scott N. Woodfield.
(1991)

417 Citations

Ontology-based extraction and structuring of information from data-rich unstructured documents

David W. Embley;Douglas M. Campbell;Randy D. Smith;Stephen W. Liddle.
conference on information and knowledge management (1998)

298 Citations

Object-oriented systems analysis

David W. Embley.
(1992)

253 Citations

Towards Ontology Generation from Tables

Yuri A. Tijerino;David W. Embley;Deryle W. Lonsdale;Yihong Ding.
World Wide Web (2005)

225 Citations

Table-processing paradigms : a research survey

David W. Embley;Matthew Hurst;Daniel P. Lopresti;George Nagy.
International Journal on Document Analysis and Recognition (2006)

202 Citations

A graphical data manipulation language for an extended entity-relationship model

B. Czejdo;R. Elmasri;M. Rusinkiewicz;D.W. Embley.
IEEE Computer (1990)

168 Citations

FOCIH: Form-Based Ontology Creation and Information Harvesting

Cui Tao;David W. Embley;Stephen W. Liddle.
international conference on conceptual modeling (2009)

161 Citations

Extracting data behind Web forms

Stephen W. Liddle;David W. Embley;Del T. Scott;Sai Ho Yau.
Lecture Notes in Computer Science (2003)

161 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing David W. Embley

Oscar Pastor

Oscar Pastor

Universitat Politècnica de València

Publications: 27

Alberto H. F. Laender

Alberto H. F. Laender

Universidade Federal de Minas Gerais

Publications: 19

George Nagy

George Nagy

Rensselaer Polytechnic Institute

Publications: 17

AnHai Doan

AnHai Doan

University of Wisconsin–Madison

Publications: 16

Vijayan Sugumaran

Vijayan Sugumaran

University of Rochester

Publications: 14

Stuart E. Madnick

Stuart E. Madnick

MIT

Publications: 13

Ji-Rong Wen

Ji-Rong Wen

Renmin University of China

Publications: 13

I. V. Ramakrishnan

I. V. Ramakrishnan

Stony Brook University

Publications: 13

Weiyi Meng

Weiyi Meng

Binghamton University

Publications: 12

Wei-Ying Ma

Wei-Ying Ma

Tsinghua University

Publications: 12

Arbee L. P. Chen

Arbee L. P. Chen

Asia University Taiwan

Publications: 11

Hosagrahar V. Jagadish

Hosagrahar V. Jagadish

University of Michigan–Ann Arbor

Publications: 11

John Mylopoulos

John Mylopoulos

University of Ottawa

Publications: 11

Bing Liu

Bing Liu

University of Illinois at Chicago

Publications: 10

Alon Halevy

Alon Halevy

Facebook (United States)

Publications: 10

Hassan Gomaa

Hassan Gomaa

George Mason University

Publications: 9

Trending Scientists

Jiankun Hu

Jiankun Hu

University of New South Wales

Edmund S. Phelps

Edmund S. Phelps

Columbia University

Daniele Marchisio

Daniele Marchisio

Polytechnic University of Turin

Hong He

Hong He

Chinese Academy of Sciences

Stellan Hjertén

Stellan Hjertén

Uppsala University

Soichi Maruyama

Soichi Maruyama

Nihon University

José M. P. Freije

José M. P. Freije

University of Oviedo

José M. Lorenzo

José M. Lorenzo

Universidade de Vigo

Juan Carlos Afonso

Juan Carlos Afonso

Macquarie University

Marc S. Wilson

Marc S. Wilson

Victoria University of Wellington

Nathan A. Kimbrel

Nathan A. Kimbrel

Duke University

Andrea Biondi

Andrea Biondi

University of Milano-Bicocca

Jérôme Honnorat

Jérôme Honnorat

Grenoble Alpes University

Vivian Cook

Vivian Cook

Newcastle University

Edward Fieldhouse

Edward Fieldhouse

University of Manchester

C. Paus

C. Paus

MIT

Something went wrong. Please try again later.