Rolf Schwitter

Rolf Schwitter

Macquarie University

H-index: 26

Oceania-Australia

About Rolf Schwitter

Rolf Schwitter, With an exceptional h-index of 26 and a recent h-index of 13 (since 2020), a distinguished researcher at Macquarie University, specializes in the field of Language Technology, Controlled Natural Languages, Knowledge Representation, Automated Reasoning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Natural Language–Based Conceptual Modelling Frameworks: State of the Art and Future Opportunities

Check for updates User-Guided Machine Understanding of Legal Documents

Towards declarative smart contracts

User-defined smart contracts using answer set programming

HESIP: A Hybrid System for Explaining Sub-symbolic Predictions

Specifying Optimisation Problems for Declarative Programs in Precise Natural Language

Declarative Smart Contract Testing by Domain Experts.

A survey on automatically constructed universal knowledge bases

Rolf Schwitter Information

University

Position

___

Citations(all)

2955

Citations(since 2020)

817

Cited By

2549

hIndex(all)

26

hIndex(since 2020)

13

i10Index(all)

48

i10Index(since 2020)

14

Email

University Profile Page

Macquarie University

Google Scholar

View Google Scholar Profile

Rolf Schwitter Skills & Research Interests

Language Technology

Controlled Natural Languages

Knowledge Representation

Automated Reasoning

Top articles of Rolf Schwitter

Title

Journal

Author(s)

Publication Date

Natural Language–Based Conceptual Modelling Frameworks: State of the Art and Future Opportunities

Bayzid Ashik Hossain

Md Saddam Hossain Mukta

Md Adnanul Islam

Akib Zaman

Rolf Schwitter

2023/8/26

Check for updates User-Guided Machine Understanding of Legal Documents

New Frontiers in Artificial Intelligence: JSAI-isAI 2021 Workshops, JURISIN, LENLS18, SCIDOCA, Kansei-AI, AI-BIZ, Yokohama, Japan, November 13–15, 2021, Revised Selected Papers

Kevin Purnell

Rolf Schwitter

2023/7/18

Towards declarative smart contracts

Kevin John Purnell

2022/3/28

User-defined smart contracts using answer set programming

Kevin Purnell

Rolf Schwitter

2022/2/2

HESIP: A Hybrid System for Explaining Sub-symbolic Predictions

Abdus Salam

Rolf Schwitter

Mehmet A Orgun

2022/2/2

Specifying Optimisation Problems for Declarative Programs in Precise Natural Language

Rolf Schwitter

2022/12

Declarative Smart Contract Testing by Domain Experts.

Kevin J Purnell

Rolf Schwitter

2022/9/29

A survey on automatically constructed universal knowledge bases

Journal of Information Science

Bayzid Ashik Hossain

Abdus Salam

Rolf Schwitter

2021/10

The Grammar of PENG ASP Explained

Rolf Schwitter

2021/9

Probabilistic rule learning systems: A survey

Abdus Salam

Rolf Schwitter

Mehmet A Orgun

2021/5/3

Lossless semantic round-tripping in PENGASP

Rolf Schwitter

2021/1/7

Generating and Modifying Natural Language Explanations

Abdus Salam

Rolf Schwitter

Mehmet Orgun

2021/12

Human-understandable and Machine-processable Explanations for Sub-symbolic Predictions

Abdus Salam

Rolf Schwitter

Mehmet Orgun

2021

User-Guided Machine Understanding of Legal Documents

Kevin Purnell

Rolf Schwitter

2021/11/13

Semantic round-tripping in conceptual modelling using restricted natural language

Bayzid Ashik Hossain

Rolf Schwitter

2020

See List of Professors in Rolf Schwitter University(Macquarie University)