Formal Ontology for Media Rights Transactions

2009 ◽  
pp. 353-373
Author(s):  
Adam Pease ◽  
Godfrey Rust
Keyword(s):  
Management System ◽  
Large Scale ◽  
Ontology Development ◽  
Formal Ontology ◽  
Transaction Management ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Logical Language ◽  
System Developer ◽  
Metadata Integration

Rightscom (a UK-based media and rights consultancy), is working with Articulate Software (a formal ontology consultancy) and with another system developer to create a large-scale metadata integration and transaction management system, founded on an ontology-based metamodel. Previous versions of this system have utilized lightweight schema and conventional Semantic Web technologies such as OWL. This has become unwieldy, and does not take advantage of latest technologies. Our current version employs formal ontology development in the logical language of SUO-KIF and involves reuse of an extension of a large formal ontology – the Suggested Upper Merged Ontology (SUMO) - and its associated ontology management system, called Sigma. In particular, integration with a large ontology will give the Rightscom model greater coverage of more domains and expand business opportunities to supporting more kinds of transaction management applications. By utilizing an open source technology core, Rightscom will be able to leverage a larger and more robust set of technologies for our clients than would be possible with a proprietary system developed entirely in house. A key challenge in this work is maintaining customer-specific vocabularies and descriptions that are more appropriate in different contexts than the generic explanations in SUMO, that also conform to the central SUMO model.

Querying Web Accessibility Knowledge from Web Graphs

2011 ◽  
pp. 1437-1461 ◽  
Author(s):  
Rui Lopes ◽  
Luís Carriço
Keyword(s):  
Social Inclusion ◽  
Large Scale ◽  
Web Accessibility ◽  
Relevant Information ◽  
Point Of View ◽  
Semantic Web Technologies ◽  
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

2012 ◽  
pp. 705-724
Author(s):  
José Manuel Gómez-Pérez ◽  
Víctor Méndez
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Formal Model ◽  
Scale Transformation ◽  
Pharmaceutical Sector ◽  
Semantic Web Technologies ◽  
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

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 ◽  
Semantic Web Technologies ◽  
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.

Querying Web Accessibility Knowledge from Web Graphs

2010 ◽  
pp. 88-112 ◽  
Author(s):  
Rui Lopes ◽  
Luís Carriço
Keyword(s):  
Social Inclusion ◽  
Large Scale ◽  
Web Accessibility ◽  
Relevant Information ◽  
Point Of View ◽  
Semantic Web Technologies ◽  
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.

scholarly journals OpenCitations, an infrastructure organization for open scholarship

2020 ◽  
Vol 1 (1) ◽  
pp. 428-444 ◽  
Author(s):  
Silvio Peroni ◽  
David Shotton
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Open Data ◽  
Data Sets ◽  
Citation Data ◽  
Semantic Web Technologies ◽  
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.

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

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 ◽  
Semantic Web Technologies ◽  
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.

scholarly journals Serverless GEO Labels for the Semantic Sensor Web

2020 ◽  
Author(s):  
Anika Graupner ◽  
Daniel Nüst
Keyword(s):  
Real World ◽  
Large Scale ◽  
Sensor Data ◽  
Quality Information ◽  
World Semantic ◽  
Semantic Web Technologies ◽  
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.

Sign in / Sign up

Export Citation Format

Share Document