SCARCE

2011 ◽  
pp. 206-224 ◽  
Author(s):  
Serge Garlatti ◽  
Sébastien Iskal ◽  
Philippe Tanguy
Keyword(s):  
Semantic Web ◽  
State Of The Art ◽  
Design Principles ◽  
Adaptive Hypermedia ◽  
Great Flexibility ◽  
Semantic Level ◽  
Virtual Documents ◽  
Virtual Document

This chapter presents SCARCE, a flexible adaptive hypermedia environment based on virtual document and the semantic Web. After a short state of the art, the authors describe the design principles and the environment, which relies on three composition engines according to the three views of a document (semantic, logical, and layout). It also relies on the four stages of virtual documents: selection, organisation and filtering specified at a semantic level, and assembly. These specifications are parameters of the composition engine. Thus, this approach leads to a composition engine which has great flexibility. Consequently, it becomes easier to maintain and design an adaptive virtual document because it is possible to specify its main mechanisms. Such engine is obviously limited by core principles underlying the specification and which cannot be overcome.

scholarly journals CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines

2020 ◽  
Vol 34 (03) ◽  
pp. 2594-2601
Author(s):  
Arjun Akula ◽  
Shuai Wang ◽  
Song-Chun Zhu
Keyword(s):  
Neural Network ◽  
State Of The Art ◽  
Input Image ◽  
Classification Model ◽  
Learning Models ◽  
Fault Line ◽  
Semantic Level ◽  
Explainable Ai ◽  
Fault Lines ◽  
Classification Category

We present CoCoX (short for Conceptual and Counterfactual Explanations), a model for explaining decisions made by a deep convolutional neural network (CNN). In Cognitive Psychology, the factors (or semantic-level features) that humans zoom in on when they imagine an alternative to a model prediction are often referred to as fault-lines. Motivated by this, our CoCoX model explains decisions made by a CNN using fault-lines. Specifically, given an input image I for which a CNN classification model M predicts class cpred, our fault-line based explanation identifies the minimal semantic-level features (e.g., stripes on zebra, pointed ears of dog), referred to as explainable concepts, that need to be added to or deleted from I in order to alter the classification category of I by M to another specified class calt. We argue that, due to the conceptual and counterfactual nature of fault-lines, our CoCoX explanations are practical and more natural for both expert and non-expert users to understand the internal workings of complex deep learning models. Extensive quantitative and qualitative experiments verify our hypotheses, showing that CoCoX significantly outperforms the state-of-the-art explainable AI models. Our implementation is available at https://github.com/arjunakula/CoCoX

scholarly journals A State-of-the-Art Survey on Semantic Web Mining

2013 ◽  
Vol 05 (01) ◽  
pp. 10-17 ◽  
Author(s):  
Qudamah K. Quboa ◽  
Mohamad Saraee
Keyword(s):  
Semantic Web ◽  
Web Mining ◽  
State Of The Art

Semantic web portals: state‐of‐the‐art survey

2005 ◽  
Vol 9 (5) ◽  
pp. 40-49 ◽  
Author(s):  
Holger Lausen ◽  
Ying Ding ◽  
Michael Stollberg ◽  
Dieter Fensel ◽  
Rubén Lara Hernández ◽  
...  
Keyword(s):  
Semantic Web ◽  
State Of The Art ◽  
Web Portals

Semantic Web of Things for Industry 4.0

Semantic Web ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 885-886
Author(s):  
Dhavalkumar Thakker ◽  
Pankesh Patel ◽  
Muhammad Intizar Ali ◽  
Tejal Shah
Keyword(s):  
Semantic Web ◽  
Industry 4.0 ◽  
State Of The Art ◽  
The State ◽  
Special Issue ◽  
Semantic Web Technologies ◽  
Web Of Things ◽  
Web Technologies

Welcome to this special issue of the Semantic Web (SWJ) journal. The special issue compiles four technical contributions that significantly advance the state-of-the-art in Semantic Web of Things for Industry 4.0 including the use of Semantic Web technologies and techniques in Industry 4.0 solutions.

Genetic-Fuzzy Programming Based Linkage Rule Miner (GFPLR-Miner) for Entity Linking in Semantic Web

2018 ◽  
Vol 14 (3) ◽  
pp. 134-166 ◽  
Author(s):  
Amit Singh ◽  
Aditi Sharan
Keyword(s):  
Fuzzy Logic ◽  
Semantic Web ◽  
Linked Data ◽  
State Of The Art ◽  
Fuzzy Programming ◽  
Data Sources ◽  
Fuzzy Approach ◽  
Entity Linking ◽  
Efficient Information ◽  
Domain Independent

This article describes how semantic web data sources follow linked data principles to facilitate efficient information retrieval and knowledge sharing. These data sources may provide complementary, overlapping or contradicting information. In order to integrate these data sources, the authors perform entity linking. Entity linking is an important task of identifying and linking entities across data sources that refer to the same real-world entities. In this work, they have proposed a genetic fuzzy approach to learn linkage rules for entity linking. This method is domain independent, automatic and scalable. Their approach uses fuzzy logic to adapt mutation and crossover rates of genetic programming to ensure guided convergence. The authors' experimental evaluation demonstrates that our approach is competitive and make significant improvements over state of the art methods.

Exposing scholarly information as Linked Open Data: RDFizing DSpace contents

2014 ◽  
Vol 32 (6) ◽  
pp. 834-851 ◽  
Author(s):  
Nikolaos Konstantinou ◽  
Dimitrios-Emmanuel Spanos ◽  
Nikos Houssos ◽  
Nikolaos Mitrou
Keyword(s):  
Semantic Web ◽  
Design Methodology ◽  
State Of The Art ◽  
Open Data ◽  
Linked Open Data ◽  
Data Repository ◽  
Institutional Repository ◽  
Meta Data ◽  
Content Type ◽  
Compliant Approach

Purpose – This paper aims to introduce a transformation engine which can be used to convert an existing institutional repository installation into a Linked Open Data repository. Design/methodology/approach – The authors describe how the data that exist in a DSpace repository can be semantically annotated to serve as a Semantic Web (meta)data repository. Findings – The authors present a non-intrusive, standards-compliant approach that can run alongside with current practices, while incorporating state-of-the art methodologies. Originality/value – Also, they propose a set of mappings between domain vocabularies that can be (re)used towards this goal, thus offering an approach that covers both the technical and semantic aspects of the procedure.

Adaptive Hypermedia Services Using Semantic Web Reasoning

2016 ◽  
Vol 22 (11) ◽  
pp. 3279-3283
Author(s):  
Sungkyu Chun ◽  
Giho Jang ◽  
Hyosook Jung ◽  
Seung-Seok Kang ◽  
Seongbin Park
Keyword(s):  
Semantic Web ◽  
Adaptive Hypermedia

scholarly journals Towards closed world reasoning in dynamic open worlds

2010 ◽  
Vol 10 (4-6) ◽  
pp. 547-563 ◽  
Author(s):  
MARTIN SLOTA ◽  
JOÃO LEITE
Keyword(s):  
Semantic Web ◽  
State Of The Art ◽  
Knowledge Bases ◽  
Order Logic ◽  
First Order Logic ◽  
Static Case ◽  
First Order ◽  
Closed World ◽  
Hybrid Knowledge ◽  
First Time

AbstractThe need for integration of ontologies with nonmonotonic rules has been gaining importance in a number of areas, such as the Semantic Web. A number of researchers addressed this problem by proposing a unified semantics forhybrid knowledge basescomposed of both an ontology (expressed in a fragment of first-order logic) and nonmonotonic rules. These semantics have matured over the years, but only provide solutions for the static case when knowledge does not need to evolve.In this paper we take a first step towards addressing the dynamics of hybrid knowledge bases. We focus on knowledge updates and, considering the state of the art of belief update, ontology update and rule update, we show that current solutions are only partial and difficult to combine. Then we extend the existing work on ABox updates with rules, provide a semantics for such evolving hybrid knowledge bases and study its basic properties.To the best of our knowledge, this is the first time that an update operator is proposed for hybrid knowledge bases.

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