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The Semantic Automated Discovery and Integration (SADI) Web service Design-Pattern, API and Reference Implementation [PDF]
Background. The complexity and inter-related nature of biological data poses a difficult challenge for data and tool integration. There has been a proliferation of interoperability standards and projects over the past decade, none of which ...
Benjamin Vandervalk+2 more
core +4 more sources
Biomedical semantics in the Semantic Web [PDF]
The Semantic Web offers an ideal platform for representing and linking biomedical information, which is a prerequisite for the development and application of analytical tools to address problems in data-intensive areas such as systems biology and ...
Burger, Albert+4 more
core +3 more sources
Soft Seeded SSL Graphs for Unsupervised Semantic Similarity-based Retrieval
Semantic similarity based retrieval is playing an increasingly important role in many IR systems such as modern web search, question-answering, similar document retrieval etc. Improvements in retrieval of semantically similar content are very significant
Datt, Madhav, Srivastava, Avikalp
core +1 more source
Sensor function virtualization to support distributed intelligence in the internet of things [PDF]
It is estimated that-by 2020-billion devices will be connected to the Internet. This number not only includes TVs, PCs, tablets and smartphones, but also billions of embedded sensors that will make up the "Internet of Things" and enable a whole new range
Demeester, Piet+4 more
core +1 more source
Reasoning & Querying – State of the Art [PDF]
Various query languages for Web and Semantic Web data, both for practical use and as an area of research in the scientific community, have emerged in recent years.
Bry, François+2 more
core +1 more source
Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites
Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang+6 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci+4 more
wiley +1 more source
A Framework for Design and Composition of Semantic Web Services [PDF]
Semantic Web Services (SWS) are Web Services (WS) whose description is semantically enhanced with markup languages (e.g., OWL-S). This semantic description will enable external agents and programs to discover, compose and invoke SWSs.
González-Cabero, R.+2 more
core +2 more sources
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
WSMO-lite annotations for web services [PDF]
and other research ...
Fensel, Dieter+3 more
core +2 more sources