Serverless GEO Labels for the Semantic Sensor Web

Web Technologies ◽

Sensor Web ◽

Semantic Sensor Web ◽

Cloud Infrastructures

As the amount of sensor data made available online increases, it becomes more difficult for users to identify useful datasets. Semantic web technologies improve discovery with meaningful ontologies, but the decision of suitability remains with the users. The GEO label provides a visual summary of the standardised metadata to aid users in this process. This work presents novel rules for deriving the information for the GEO label's multiple facets, such as user feedback or quality information, based on the Semantic Sensor Network Ontology and related ontologies. It enhances an existing implementation of the GEO label API to generate labels for resources of the Semantic Sensor Web. The prototype is deployed to serverless cloud infrastructures. We find that serverless GEO label generation is capable of handling two evaluation scenarios for concurrent users and burst generation. More real-world semantic sensor descriptions and an integration into large scale discovery platforms are needed to develop the presented solutions further.

Querying Web Accessibility Knowledge from Web Graphs

Web Technologies ◽

10.4018/978-1-60566-982-3.ch077 ◽

2011 ◽

pp. 1437-1461 ◽

Author(s):

Rui Lopes ◽

Luís Carriço

Keyword(s):

Social Inclusion ◽

Large Scale ◽

Web Accessibility ◽

Relevant Information ◽

Point Of View ◽

Web Technologies ◽

Knowledge Framework ◽

Web Graphs ◽

The Web

Web Accessibility is a hot topic today. Striving for social inclusion has resulted in the requirement of providing accessible content to all users. However, since each user is unique, and the Web evolves in a decentralized way, little or none is known about the shape of the Web’s accessibility on its own at a large scale, as well as from the point-of-view of each user. In this chapter the authors present the Web Accessibility Knowledge Framework as the foundation for specifying the relevant information about the accessibility of a Web page. This framework leverages Semantic Web technologies, side by side with audience modeling and accessibility metrics, as a way to study the Web as an entity with unique accessibility properties dependent from each user’s point of view. Through this framework, the authors envision a set of queries that can help harnessing and inferring this kind of knowledge from Web graphs.

Towards Supporting Interoperability in e-Invoicing Based on Semantic Web Technologies

Handbook of Research on E-Business Standards and Protocols ◽

10.4018/978-1-4666-0146-8.ch032 ◽

2012 ◽

pp. 705-724

Author(s):

José Manuel Gómez-Pérez ◽

Víctor Méndez

Keyword(s):

Semantic Web ◽

Large Scale ◽

Formal Model ◽

Scale Transformation ◽

Pharmaceutical Sector ◽

Web Technologies ◽

Business Transactions ◽

Reference Implementation ◽

Semantic Hub

Since the use of electronic invoicing in business transactions was approved by the EU back in 2002, its application in Europe has grown considerably. However, despite the existence of standards like EDIFACT or UBL, widespread take up of electronic invoicing has been hindered by the enormous heterogeneity of proprietary solutions. In this chapter, the authors present an approach towards addressing the interoperability problem in electronic invoice exchange, based on ontologies and Semantic Web technologies. The authors propose methods and provide usable tools that leverage the knowledge of users of electronic invoicing systems by empowering them to define correspondences between sample electronic invoice data and a formal model of electronic invoicing represented as networked ontologies. The chapter follows a learn-by-example approach where, based on such correspondences, networked ontologies serve as a semantic hub for large-scale transformation of e-invoice data between heterogeneous e-invoicing formats and models. The approach has been evaluated through the development of a reference implementation and its deployment in the pharmaceutical sector.

A Semantic-Driven Adaptive Architecture for Large Scale P2P Networks

International Journal of Grid and High Performance Computing ◽

10.4018/jghpc.2010100102 ◽

2010 ◽

Vol 2 (4) ◽

pp. 12-30 ◽

Author(s):

Athena Eftychiou ◽

Bogdan Vrusias ◽

Nick Antonopoulos

Keyword(s):

Large Scale ◽

Network Formation ◽

Collective Intelligence ◽

Semantic Knowledge ◽

Resource Discovery ◽

Online Information ◽

Web Technologies ◽

Adaptive Architecture

The increasing amount of online information demands effective, scalable, and accurate mechanisms to manage and search this information. Distributed semantic-enabled architectures, which enforce semantic web technologies for resource discovery, could satisfy these requirements. In this paper, a semantic-driven adaptive architecture is presented, which improves existing resource discovery processes. The P2P network is organised in a two-layered super-peer architecture. The network formation of super-peers is a conceptual representation of the network’s knowledge, shaped from the information provided by the nodes using collective intelligence methods. The authors focus on the creation of a dynamic hierarchical semantic-driven P2P topology using the network’s collective intelligence. The unmanageable amounts of data are transformed into a repository of semantic knowledge, transforming the network into an ontology of conceptually related entities of information collected from the resources located by peers. Appropriate experiments have been undertaken through a case study by simulating the proposed architecture and evaluating results.

Handbook of Research on Social Dimensions of Semantic Technologies and Web Services ◽

Querying Web Accessibility Knowledge from Web Graphs

10.4018/978-1-60566-650-1.ch005 ◽

2010 ◽

pp. 88-112 ◽

Author(s):

Rui Lopes ◽

Luís Carriço

Keyword(s):

Social Inclusion ◽

Large Scale ◽

Web Accessibility ◽

Relevant Information ◽

Point Of View ◽

Web Technologies ◽

Knowledge Framework ◽

Web Graphs ◽

The Web

Web Accessibility is a hot topic today. Striving for social inclusion has resulted in the requirement of providing accessible content to all users. However, since each user is unique, and the Web evolves in a decentralized way, little or none is known about the shape of the Web’s accessibility on its own at a large scale, as well as from the point-of-view of each user. In this chapter the authors present the Web Accessibility Knowledge Framework as the foundation for specifying the relevant information about the accessibility of a Web page. This framework leverages Semantic Web technologies, side by side with audience modeling and accessibility metrics, as a way to study the Web as an entity with unique accessibility properties dependent from each user’s point of view. Through this framework, the authors envision a set of queries that can help harnessing and inferring this kind of knowledge from Web graphs.

OpenCitations, an infrastructure organization for open scholarship

Quantitative Science Studies ◽

10.1162/qss_a_00023 ◽

2020 ◽

Vol 1 (1) ◽

pp. 428-444 ◽

Cited By ~ 11

Author(s):

Silvio Peroni ◽

David Shotton

Keyword(s):

Semantic Web ◽

Large Scale ◽

Open Data ◽

Data Sets ◽

Citation Data ◽

Web Technologies ◽

Creative Commons ◽

Citation Indexes ◽

Description Framework

OpenCitations is an infrastructure organization for open scholarship dedicated to the publication of open citation data as Linked Open Data using Semantic Web technologies, thereby providing a disruptive alternative to traditional proprietary citation indexes. Open citation data are valuable for bibliometric analysis, increasing the reproducibility of large-scale analyses by enabling publication of the source data. Following brief introductions to the development and benefits of open scholarship and to Semantic Web technologies, this paper describes OpenCitations and its data sets, tools, services, and activities. These include the OpenCitations Data Model; the SPAR (Semantic Publishing and Referencing) Ontologies; OpenCitations’ open software of generic applicability for searching, browsing, and providing REST APIs over resource description framework (RDF) triplestores; Open Citation Identifiers (OCIs) and the OpenCitations OCI Resolution Service; the OpenCitations Corpus (OCC), a database of open downloadable bibliographic and citation data made available in RDF under a Creative Commons public domain dedication; and the OpenCitations Indexes of open citation data, of which the first and largest is COCI, the OpenCitations Index of Crossref Open DOI-to-DOI Citations, which currently contains over 624 million bibliographic citations and is receiving considerable usage by the scholarly community.

Large-Scale Benchmarking of the OWL Interoperability of Semantic Web Technologies

10.1109/icsc.2008.34 ◽

2008 ◽

Author(s):

Raúl García-Castro ◽

Asunción Gómez-Pérez

Keyword(s):

Semantic Web ◽

Large Scale ◽

Web Technologies

Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search

Mehran University Research Journal of Engineering and Technology ◽

10.22581/muet1982.2003.14 ◽

2020 ◽

Vol 39 (3) ◽

pp. 595-602

Author(s):

Aatif Ahmad Khan ◽

Sanjay Kumar Malik

Keyword(s):

Domain Knowledge ◽

Large Scale ◽

Open Data ◽

Knowledge Bases ◽

Semantic Search ◽

Data Format ◽

Web Technologies ◽

Cross Domain ◽

Description Framework

Semantic Search refers to set of approaches dealing with usage of Semantic Web technologies for information retrieval in order to make the process machine understandable and fetch precise results. Knowledge Bases (KB) act as the backbone for semantic search approaches to provide machine interpretable information for query processing and retrieval of results. These KB include Resource Description Framework (RDF) datasets and populated ontologies. In this paper, an assessment of the largest cross-domain KB is presented that are exploited in large scale semantic search and are freely available on Linked Open Data Cloud. Analysis of these datasets is a prerequisite for modeling effective semantic search approaches because of their suitability for particular applications. Only the large scale, cross-domain datasets are considered, which are having sizes more than 10 million RDF triples. Survey of sizes of the datasets in triples count has been depicted along with triples data format(s) supported by them, which is quite significant to develop effective semantic search models.

Data Integration in the Geospatial Semantic Web

Cases on Semantic Interoperability for Information Systems Integration ◽

10.4018/978-1-60566-894-9.ch013 ◽

2011 ◽

pp. 272-293

Author(s):

Patrick Maué ◽

Sven Schade

Keyword(s):

Decision Support ◽

Semantic Web ◽

Real World ◽

Relevant Information ◽

Decision Makers ◽

Domain Experts ◽

Web Technologies ◽

Opening Up ◽

The Web

Geospatial decision makers have to be aware of the varying interests of all stakeholders. One crucial task in the process is to identify relevant information available from the Web. In this chapter the authors introduce an application in the quarrying domain which integrates Semantic Web technologies to provide new ways to discover and reason about relevant information. The authors discuss the daily struggle of the domain experts to create decision-support maps helping to find suitable locations for opening up new quarries. After explaining how semantics can help these experts, they introduce the various components and the architecture of the software which has been developed in the European funded SWING project. In the last section, the different use cases illustrate how the implemented tools have been applied to real world scenarios.

Towards a semantic web of things framework

IAES International Journal of Artificial Intelligence (IJ-AI) ◽

10.11591/ijai.v8.i4.pp443-450 ◽

2019 ◽

Vol 8 (4) ◽

pp. 443

Author(s):

Ismail Nadim ◽

Yassine El ghayam ◽

Abdelalim Sadiq

Keyword(s):

Semantic Web ◽

Information And Communication Technologies ◽

Large Scale ◽

Communication Technologies ◽

The Internet ◽

Web Of Things ◽

Web Technologies ◽

Energy Consumption Optimization ◽

Information And Communication

Information and communication technologies (ICT) know a significant development especially in terms of hardware miniaturization, cost reduction and energy consumption optimization. This advancement enables the interconnection of a large number of physical objects namely using the Internet, forming what is called the Internet of Things (IoT). The IoT provides the opportunity to interact with these objects through sensors, actuators and smart applications which may help users in several areas such as transport, logistics, health care, agriculture, etc. However, building the IoT requires a strong interoperability between thousands of heterogeneous devices and services. In this context, the SWoT (Semantic Web of Things) uses semantic Web technologies to enrich these devices and services with semantic annotations which enables the semantic interoperability. However, the development of SWOT-based systems on a large scale faces many challenges especially due to the large number of devices and services, their geographical distribution as well as their mobility. These challenges - which may affect the system performance as a whole - require innovative industry and research efforts. The current paper proposes a SWoT framework architecture that take into account the main SWoT challenges.