A5006872667- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Service-Oriented Architecture and Web Services
- Advanced Database Systems and Queries
- Natural Language Processing Techniques
- Biomedical Text Mining and Ontologies
- Topic Modeling
- Advanced Algebra and Logic
- Logic, programming, and type systems
- Multi-Agent Systems and Negotiation
- Rough Sets and Fuzzy Logic
- Data Quality and Management
- Scientific Computing and Data Management
- Data Management and Algorithms
- Neural Networks and Applications
- Geographic Information Systems Studies
- AI-based Problem Solving and Planning
- Computability, Logic, AI Algorithms
- Research Data Management Practices
- Advanced Graph Neural Networks
- Business Process Modeling and Analysis
- Constraint Satisfaction and Optimization
- Explainable Artificial Intelligence (XAI)
- Data Mining Algorithms and Applications
- Formal Methods in Verification
Kansas State University
2009-2025
Michigan State University
2023
Wright State University
2010-2019
American Library Association
2019
Shanghai Jiao Tong University
2013
The Wojciech Kętrzyński Northern Institute
2011
University of California, Santa Barbara
2011
Karlsruhe Institute of Technology
2004-2010
National Kaohsiung First University of Science and Technology
2010
National University of Ireland
1999-2010
With more substantial funding from research organizations and industry, numerous large-scale applications, recently developed technologies, the Semantic Web is quickly emerging as a well-recognized important area of computer science. While technologies are still rapidly evolving, Foundations Technologies focuses on established foundations in this that have become relatively stable over time. It thoroughly covers basic introductions intuitions, technical details, formal foundations.The book...
The study and understanding of human behaviour is relevant to computer science, artificial intelligence, neural computation, cognitive philosophy, psychology, several other areas. Presupposing cognition as basis behaviour, among the most prominent tools in modelling are computational-logic systems, connectionist models cognition, uncertainty. Recent studies psychology have produced a number reasoning, learning, language that underpinned by computation. In addition, efforts science research...
Around 2006, the inception of Linked Data [2] has led to a realignment Semantic Web vision and realization that data is not merely way evaluate our theoretical considerations, but key research enabler in its own right inspires novel foundational questions. Since then, growing rapidly altering research, governments, industry. Simply put, takes World Wide Web’s ideas global identifiers links applies them (raw) data, just documents. Moreover, regularly highlighted by Tim Berners-Lee, Anybody...
In 2010 Tim Berners-Lee introduced a 5 star rating to his Linked Data design issues page encourage data publishers along the road good Data. What makes so effective is its simplicity, clarity, and pinch of psychology –
Depression is a major public health concern in the U.S. and globally. While successful early identification treatment can lead to many positive behavioral outcomes, depression, remains undiagnosed, untreated or undertreated due several reasons, including denial of illness as well cultural social stigma. With ubiquity media platforms, millions people are now sharing their online persona by expressing thoughts, moods, emotions, even daily struggles with mental on media. Unlike traditional...
Neuro-Symbolic Artificial Intelligence – the combination of symbolic methods with that are based on artificial neural networks has a long-standing history. In this article, we provide structured overview current trends, by means categorizing recent publications from key conferences. The article is meant to serve as convenient starting point for research general topic.
Abstract Knowledge graphs (KGs) are a novel paradigm for the representation, retrieval, and integration of data from highly heterogeneous sources. Within just few years, KGs their supporting technologies have become core component modern search engines, intelligent personal assistants, business intelligence, so on. Interestingly, despite large‐scale availability, they yet to be as successful in realm environmental intelligence. In this paper, we will explain why spatial require special...
The realization of Semantic Web reasoning is central to substantiating the vision. However, current mainstream research on this topic faces serious challenges, which forces us question established lines and rethink
While catchphrases such as big data, smart data‐intensive science, or dust highlight different aspects, they share a common theme — namely, shift toward data‐centered perspective in which the synthesis and analysis of data at an ever‐increasing spatial, temporal, thematic resolution promise new insights, while, same time, reduce need for strong domain theories starting points. In terms envisioned methodologies, those tend to emphasize role predictive analytics, that is, statistical...