H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 98 Citations 45,357 449 World Ranking 161 National Ranking 98

Research.com Recognitions

Awards & Achievements

2018 - ACM Fellow For contributions to theory and practice of knowledge sharing in distributed systems and the World-Wide Web

2013 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the theory and practice of knowledge sharing in multiagent systems and on the Web, and for sustained service to the AI community.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Operating system

Tim Finin mainly investigates World Wide Web, Semantic Web, Information retrieval, Ontology and Semantic Web Stack. Many of his studies on World Wide Web involve topics that are commonly interrelated, such as Context. His research in Semantic Web focuses on subjects like Information privacy, which are connected to Middleware, Context model and Knowledge representation and reasoning.

His study in Information retrieval is interdisciplinary in nature, drawing from both Feature, Metadata and Categorization. As a part of the same scientific study, Tim Finin usually deals with the Ontology, concentrating on Vocabulary and frequently concerns with Text mining, Namespace and Annotation. His study explores the link between Semantic Web Stack and topics such as RDF that cross with problems in Linked data.

His most cited work include:

  • Why we twitter: understanding microblogging usage and communities (2344 citations)
  • Enabling technology for knowledge sharing (1342 citations)
  • KQML as an agent communication language (1341 citations)

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

Tim Finin mostly deals with World Wide Web, Semantic Web, Information retrieval, Artificial intelligence and Ontology. The World Wide Web study combines topics in areas such as Semantics and Context. His Context study which covers Ubiquitous computing that intersects with Service discovery.

His Social Semantic Web, Semantic Web Stack, RDF, Semantic Web Rule Language and Semantic grid study are his primary interests in Semantic Web. His work in Social Semantic Web addresses subjects such as Web standards, which are connected to disciplines such as Web modeling. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Task and Natural language processing.

He most often published in these fields:

  • World Wide Web (27.04%)
  • Semantic Web (22.11%)
  • Information retrieval (16.33%)

What were the highlights of his more recent work (between 2013-2021)?

  • Computer security (12.59%)
  • Semantic Web (22.11%)
  • Ontology (12.93%)

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

The scientist’s investigation covers issues in Computer security, Semantic Web, Ontology, Artificial intelligence and Information retrieval. As a member of one scientific family, he mostly works in the field of Computer security, focusing on Context and, on occasion, Information privacy and Mobile computing. His Semantic Web study is focused on World Wide Web in general.

His study in World Wide Web focuses on Semantic Web Stack in particular. His Artificial intelligence research incorporates themes from Machine learning, Task and Natural language processing. His research in Information retrieval intersects with topics in Language model and Metadata.

Between 2013 and 2021, his most popular works were:

  • CyberTwitter: using Twitter to generate alerts for cybersecurity threats and vulnerabilities (80 citations)
  • UCO: A Unified Cybersecurity Ontology (70 citations)
  • Automating Cloud Services Life Cycle through Semantic Technologies (62 citations)

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

  • Artificial intelligence
  • The Internet
  • Operating system

Computer security, Semantic Web, Ontology, Information retrieval and Data science are his primary areas of study. His Computer security research integrates issues from Security through obscurity and Knowledge representation and reasoning. Tim Finin is involved in the study of Semantic Web that focuses on RDF in particular.

His Ontology study integrates concerns from other disciplines, such as Cloud computing and World Wide Web. The concepts of his World Wide Web study are interwoven with issues in Privacy by Design, Privacy software, Privacy policy, Information privacy and Internet privacy. His Information retrieval research includes themes of Graph, Artificial intelligence and Natural language processing.

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

Why we twitter: understanding microblogging usage and communities

Akshay Java;Xiaodan Song;Tim Finin;Belle Tseng.
knowledge discovery and data mining (2007)

4470 Citations

KQML as an agent communication language

Tim Finin;Yanis Labrou;James Mayfield.
Software agents (1997)

3470 Citations

KQML as an agent communication language

Tim Finin;Richard Fritzson;Don McKay;Robin McEntire.
conference on information and knowledge management (1994)

3426 Citations

Enabling technology for knowledge sharing

Robert Neches;Richard Fikes;Tim Finin;Tom Gruber.
Ai Magazine (1991)

2752 Citations

An Ontology for Context-Aware Pervasive Computing Environments

Harry Chen;Tim Finin;Anupam Joshi.
Special Issue on Ontologies for Distributed Systems, Knowledge Engineering Review (2004)

1420 Citations

Swoogle: a search and metadata engine for the semantic web

Li Ding;Tim Finin;Anupam Joshi;Rong Pan.
conference on information and knowledge management (2004)

1185 Citations

SOUPA: standard ontology for ubiquitous and pervasive applications

H. Chen;F. Perich;T. Finin;A. Joshi.
international conference on mobile and ubiquitous systems: networking and services (2004)

877 Citations

Agent communication languages: the current landscape

Y. Labrou;T. Finin;Yun Peng.
IEEE Intelligent Systems & Their Applications (1999)

716 Citations

A policy language for a pervasive computing environment

L. Kagal;T. Finin;Anupam Joshi.
ieee international workshop on policies for distributed systems and networks (2003)

698 Citations

A Proposal for a new KQML Specification

Tim Finin;Yannis Labrou.
(1997)

640 Citations

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Thomas R. Gruber

Apple (United States)

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Axel Polleres

Vienna University of Economics and Business

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Bhavani Thuraisingham

The University of Texas at Dallas

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Nigel Shadbolt

Nigel Shadbolt

University of Oxford

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Munindar P. Singh

Munindar P. Singh

North Carolina State University

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Arkady Zaslavsky

Arkady Zaslavsky

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Anand Ranganathan

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