D-Index & Metrics Best Publications

D-Index & Metrics

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 44 Citations 16,573 124 World Ranking 3717 National Ranking 163

Research.com Recognitions

Awards & Achievements

2019 - ACM Fellow For contributions to knowledge representation and its applications to automated planning and semantic web services

2011 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to knowledge representation, reasoning about action, and the formal foundations of the semantic web and diagnostic problem solving.

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Programming language
  • Algorithm

Sheila A. McIlraith spends much of her time researching World Wide Web, Semantic Web Stack, Social Semantic Web, Semantic Web and WS-Policy. Her study in Semantic Web Stack is interdisciplinary in nature, drawing from both Web standards and Web modeling. Within one scientific family, Sheila A. McIlraith focuses on topics pertaining to Web development under Web modeling, and may sometimes address concerns connected to Web design, Web 2.0, Ontology and Interoperation.

In most of her Social Semantic Web studies, her work intersects topics such as Data Web. Her WS-Policy research incorporates elements of Service composition, DAML-S, WS-I Basic Profile and Web service composition. Her DAML-S research is multidisciplinary, incorporating perspectives in WSMO, Services computing, DARPA Agent Markup Language and Ontology Inference Layer.

Her most cited work include:

  • DAML-S: semantic markup for web services (2450 citations)
  • Semantic Web services (1842 citations)
  • DAML-S: Web Service Description for the Semantic Web (868 citations)

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

Sheila A. McIlraith mainly focuses on Artificial intelligence, World Wide Web, Theoretical computer science, Semantic Web and Web service. Her Artificial intelligence research incorporates themes from Machine learning and Task. Her study in World Wide Web concentrates on Semantic Web Stack, Social Semantic Web, Web standards, OWL-S and WS-Policy.

Her studies deal with areas such as Web page and Data Web as well as Social Semantic Web. Many of her research projects under Theoretical computer science are closely connected to Exploit with Exploit, tying the diverse disciplines of science together. Her Web service study integrates concerns from other disciplines, such as Ontology and Interoperation.

She most often published in these fields:

  • Artificial intelligence (27.17%)
  • World Wide Web (16.30%)
  • Theoretical computer science (15.22%)

What were the highlights of her more recent work (between 2017-2021)?

  • Artificial intelligence (27.17%)
  • Reinforcement learning (5.43%)
  • Linear temporal logic (8.70%)

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

Her primary scientific interests are in Artificial intelligence, Reinforcement learning, Linear temporal logic, Task and Set. Her Artificial intelligence research includes elements of Finite-state machine, Machine learning and Set. The concepts of her Reinforcement learning study are interwoven with issues in Programming language, Formal language, Function and Robustness.

Sheila A. McIlraith focuses mostly in the field of Linear temporal logic, narrowing it down to topics relating to Program synthesis and, in certain cases, Sequential decision, Software engineering and Construct. She interconnects Symbolic action, Decomposition and Maximization in the investigation of issues within Task. Her study on Set also encompasses disciplines like

  • Cognitive science most often made with reference to Mechanism,
  • Representation which is related to area like Mathematical optimization.

Between 2017 and 2021, her most popular works were:

  • Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning (50 citations)
  • Teaching Multiple Tasks to an RL Agent using LTL (40 citations)
  • LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning (36 citations)

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

  • Artificial intelligence
  • Programming language
  • Algorithm

Her main research concerns Reinforcement learning, Artificial intelligence, Task, Linear temporal logic and Observable. Her Reinforcement learning research includes themes of Programming language, Formal language and Function. Her Artificial intelligence research is multidisciplinary, incorporating perspectives in Symbolic action, Decomposition and Maximization.

Her Linear temporal logic research includes elements of Classifier, Model learning and Oracle. Her Nondeterministic algorithm study is concerned with the field of Theoretical computer science as a whole. Sheila A. McIlraith performs multidisciplinary studies into Theoretical computer science and Action in her work.

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

Semantic Web services

S.A. McIlraith;T.C. Son;Honglei Zeng.
IEEE Intelligent Systems (2001)

2755 Citations

DAML-S: semantic markup for web services

Anupriya Ankolekar;Mark Burstein;Jerry R. Hobbs;Ora Lassila.
international semantic web conference (2001)

2420 Citations

Simulation, verification and automated composition of web services

Srini Narayanan;Sheila A. McIlraith.
the web conference (2002)

1336 Citations

Adapting Golog for Composition of Semantic Web Services

Sheila A. McIlraith;Tran Cao Son.
principles of knowledge representation and reasoning (2002)

1264 Citations

DAML-S: Web Service Description for the Semantic Web

Mark H. Burstein;Jerry R. Hobbs;Ora Lassila;David Martin.
international semantic web conference (2002)

1147 Citations

Bringing semantics to web services: the OWL-S approach

David Martin;Massimo Paolucci;Sheila McIlraith;Mark Burstein.
international semantic web conference (2004)

1048 Citations

Bringing Semantics to Web Services with OWL-S

David Martin;Mark Burstein;Drew Mcdermott;Sheila Mcilraith.
World Wide Web (2007)

664 Citations

DAML-S: A Semantic Markup Language For Web Services

Anupriya Ankolenkar;Mark Burstein;Jerry Hobbs;Ora Lassila.
(2001)

541 Citations

Bringing semantics to Web services

S.A. McIlraith;D.L. Martin.
IEEE Intelligent Systems (2003)

332 Citations

Adapting BPEL4WS for the semantic web: the bottom-up approach to web service interoperation

Daniel J. Mandell;Sheila A. McIlraith.
international semantic web conference (2003)

317 Citations

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Best Scientists Citing Sheila A. McIlraith

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Giuseppe De Giacomo

Sapienza University of Rome

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John Mylopoulos

John Mylopoulos

University of Ottawa

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Terry R. Payne

Terry R. Payne

University of Liverpool

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Enrico  Pontelli

Enrico Pontelli

New Mexico State University

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Katia Sycara

Katia Sycara

Carnegie Mellon University

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Dieter Fensel

Dieter Fensel

University of Innsbruck

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John Domingue

John Domingue

The Open University

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Massimo Paolucci

Massimo Paolucci

NTT (Japan)

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Marco Pistore

Marco Pistore

Fondazione Bruno Kessler

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Athman Bouguettaya

Athman Bouguettaya

University of Sydney

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Massimo Mecella

Massimo Mecella

Sapienza University of Rome

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Amit P. Sheth

Amit P. Sheth

University of South Carolina

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Anand Ranganathan

Anand Ranganathan

IBM (United States)

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Zhen Liu

Zhen Liu

IROOTECH

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Carole Goble

Carole Goble

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John A. Miller

John A. Miller

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