RDF(S) INTEROPERABILITY RESULTS FOR SEMANTIC WEB TECHNOLOGIES

Interoperability among different development tools is not a straightforward task since ontology editors rely on specific internal knowledge models which are translated into common formats such as RDF(S). This paper addresses the urgent need for interoperability by providing an exhaustive set of benchmark suites for evaluating RDF(S) import, export and interoperability. It also demonstrates, in an extensive field study, the state-of-the-art of interoperability among six Semantic Web tools. From this field study we have compiled a comprehensive set of practices that may serve as recommendations for Semantic Web tool developers and ontology engineers.

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Semantic Web of Things for Industry 4.0

Semantic Web ◽

10.3233/sw-200407 ◽

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.

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A Prototype of Speech Interface Baed on Google Cloud Platform to Access a Semantic Website

10.20944/preprints201805.0274.v1 ◽

2018 ◽

Author(s):

Jimmy Aurelio Rosales-Huamani ◽

José Luis Castillo-Sequera ◽

Juan Carlos Montalvan-Figueroa ◽

Joseps Andrade-Choque

Keyword(s):

Semantic Web ◽

Good Alternative ◽

Cloud Platform ◽

Semantic Web Technologies ◽

New Approach ◽

Web Technologies ◽

Speech Interface ◽

Web Tools ◽

Java Program ◽

Extract Information

The main restriction of the Semantic Web is the difficult of the SPARQL language, that is necessary to extract information from the Knowledge Representation also known as ontology. Making the Semantic Web accessible for people who do not know SPARQL, is essential the use of friendlier interfaces and a good alternative is Natural Language. This paper shows the implementation of a friendly prototype interface to query and retrieve, by voice, information from website building with the Semantic Web tools. In that way, the end users avoid the complicated SPARQL language. To achieve this, the interface recognizes a speech query and converts it into text, it processes the text through a java program and identifies keywords, generates a SPARQL query, extracts the information from the website and read it in voice, for the user. In our work Google Cloud Speech API makes Speech-to-Text conversions and Text-to Speech conversions are made with SVOX Pico. As results, we have measured three variables: The success rate in queries, the response time of query and a usability survey. The values of the variables allows the evaluation of our prototype. Finally the interface proposed provides us a new approach in the problem, using the Cloud like a Service, reducing barriers of access to the Semantic Web for people without technical knowledge of Semantic Web technologies.

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Weaving a Semantic Web of Credibility Reviews for Explainable Misinformation Detection (Extended Abstract)

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence ◽

10.24963/ijcai.2021/646 ◽

2021 ◽

Author(s):

Ronald Denaux ◽

Martino Mensio ◽

Jose Manuel Gomez-Perez ◽

Harith Alani

Keyword(s):

Deep Learning ◽

Semantic Web ◽

Computational Model ◽

State Of The Art ◽

Learning Systems ◽

Learning Models ◽

Semantic Web Technologies ◽

Web Technologies ◽

Detection Systems ◽

Wide Range

This paper summarises work where we combined semantic web technologies with deep learning systems to obtain state-of-the art explainable misinformation detection. We proposed a conceptual and computational model to describe a wide range of misinformation detection systems based around the concepts of credibility and reviews. We described how Credibility Reviews (CRs) can be used to build networks of distributed bots that collaborate for misinformation detection which we evaluated by building a prototype based on publicly available datasets and deep learning models.

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Building Integrative Enterprise Knowledge Portals with Semantic Web Technologies

Intelligent Learning Infrastructure for Knowledge Intensive Organizations ◽

10.4018/978-1-59140-503-0.ch006 ◽

2005 ◽

pp. 146-188 ◽

Cited By ~ 1

Author(s):

Torsten Priebe

Keyword(s):

Information Retrieval ◽

Semantic Web ◽

State Of The Art ◽

Content Management ◽

The State ◽

The Internet ◽

Semantic Web Technologies ◽

Research Results ◽

Web Technologies ◽

Integration Approach

The goal of this chapter is to show how Semantic Web technologies can help build integrative enterprise knowledge portals. Three main areas are identified: content management and metadata, global searching, and the integration of external content and applications. For these three areas the state-of-the-art as well as current research results are discussed. In particular, a metadata-based information retrieval and a context-based port let integration approach are presented. These have been implemented in a research prototype which is introduced in the Internet session at the end of the chapter.

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Interoperable Digital Building Twins Through Communicating Materials and Semantic BIM

SN Computer Science ◽

10.1007/s42979-021-00860-w ◽

2021 ◽

Vol 3 (1) ◽

Author(s):

Ana Roxin ◽

Wahabou Abdou ◽

William Derigent

Keyword(s):

Decision Support ◽

Semantic Web ◽

State Of The Art ◽

Wireless Sensor ◽

Construction Process ◽

Semantic Web Technologies ◽

Research Issues ◽

Main Research ◽

Web Technologies ◽

Research Domains

AbstractThis paper presents contributions of the ANR McBIM (Communicating Material for BIM) project regarding Digital Building Twins, specifically how Semantic Web technologies allow providing explainable decision-support. Following an introduction stating our understanding of a Digital Building Twin (DBT), namely a lively representation of a buildings' status and environment, we identify five main research domains following the study of main research issues related to DBT. We then present the state-of-the-art and existing standards for digitizing the construction process, Semantic Web technologies, and wireless sensor networks. We further position the main contributions made so far in the ANR McBIM project's context according to this analysis, e.g., sensor placement in the communicating material and explainable decision-support.

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Semantic Enrichment of Location-Based Services

Encyclopedia of Mobile Computing and Commerce ◽

10.4018/978-1-59904-002-8.ch144 ◽

2007 ◽

pp. 856-862 ◽

Cited By ~ 1

Author(s):

Vassileios Tsetsos ◽

Christos Anagnostopoulos ◽

Stathes Hadjiefthymiades

Keyword(s):

Semantic Web ◽

Path Length ◽

Semantic Information ◽

State Of The Art ◽

Location Based Services ◽

Indoor Environments ◽

Semantic Web Technologies ◽

Web Technologies ◽

Navigation Service ◽

Minimizing Path

In this article, we describe issues related to the development of intelligent and human-centered LBS for indoor environments. We focus on the navigation service. Navigation is probably the most challenging LBS since it involves relatively complex algorithms and many cognitive processes (e.g., combining known paths for reaching unknown destinations, minimizing path length). With the proposed system, we try to incorporate intelligence to navigation services by enriching them with the semantics of users and navigation spaces. Such semantic information is represented and reasoned using state-of-the-art semantic Web technologies (Berners-Lee, Hendler, & Lassila, 2001).

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