FOAF: Connecting People on the Semantic Web

Graves, Mike; Constabaris, Adam; Brickley, Dan

doi:10.1300/j104v43n03_10

Cited by 88 publications

(41 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Semantic Web technologies, such as Friend-of-a-friend (FOAF), Dublin Core (DC), XML and RDF, occupy the arbitrary center of the continuum, as they appear to have the potential to bridge the gap between natural language descriptions and the formality required for automated processing of semantics [7]. For example, the mature W3C standard for FOAF [8] has been recognized as a formal yet light-weight Semantic Web ontology. Since computers have difficulties interpreting the common language of human beings and in using contextual cues to resolve them, efforts to develop modeling languages specific to the industry classification still require additional resolution [9].…”

Section: Ontology Formality Continuummentioning

confidence: 99%

The reinforced enterprise business architecture (rebar) ontology

Hoyland¹

2018

Int. J. DNE

View full text Add to dashboard Cite

Understanding organizations and their needs for new technology has never been more challenging than in today's high-tech business world. Enterprise managers are required to coordinate with other departmental managers, direct their personnel and solve problems along the way. Communicating new designs to IT for needed applications may not be in the manager's skillset. When the enterprise grows rapidly or tries to compete in new areas, a set of basic diagrams illustrating common workflows may no longer accurately reflect the complex environment. What is needed is a simple method for illustrating the enterprise as a whole, interoperable structure so managers and workers alike can describe their requirements in the unique vocabulary of their industry. REBAR offers a novel approach for using key strategic and operational business documents, written in natural language, as the basis for the formal enterprise ontology. Popular semantic web standards, including RDF, FOAF and DC, provide generic terms already designed to convey the subject-predicate-object structure of natural language in a social structure. The REBAR enterprise ontology extends these existing standards, thus evolving a sociotechnical model of the functional organization distilled directly from existing enterprise documents. REBAR captures the essence of the unique enterprise in a graphical application that can be queried and dynamically recombined to illustrate details of complex workplace collaborations. An enterprise ontology should unite all defined departmental functions authorized by executive enterprise managers. Additionally, findings indicate the REBAR ontology has the potential to provide a reusable structure for linking core social business functions of the enterprise to other explicit enterprise knowledge, including policies, procedures, tech manuals, training documents and project metrics. The REBAR methodology offers evidence that the enterprise is more than the sum of its parts, it is the bridge unifying explicit and tacit knowledge during work projects across the entire enterprise.

show abstract

Section: Ontology Formality Continuummentioning

confidence: 99%

The reinforced enterprise business architecture (rebar) ontology

Hoyland¹

2018

Int. J. DNE

View full text Add to dashboard Cite

show abstract

“…For example, we do not create new classes for person, programme, movie and music. The following describes vocabularies that we reuse in our ontology model: * http://www.imdb.com/stats  Friend of a friend ontology [24]: machine-readable ontology describing personal profiles, their activities and their relationships.  Music ontology [25]: concepts and properties for describing music domains (i.e.…”

Section: Knowledge Model Of Entertainment Domainmentioning

confidence: 99%

Constructing a Knowledge Base for Entertainment by Interlinking Multiple Data Sources

Kim¹,

Yang²

2017

EAI Endorsed Transactions on Industrial Networks and Intelligen

View full text Add to dashboard Cite

This paper describes a knowledge base for entertainment domains, including movies, music, and celebrities. We present an ontology model for representing graph-based knowledge, and describe knowledge processing techniques for constructing an entertainment knowledge base, which is comprised of collection and extraction of large-scale data, and knowledge transformation from them. In particular, we address entity resolution and consolidation techniques for integrating particular entities among heterogeneous data sources. We also demonstrate a mobile application using this knowledge base, which allows users to discover relevant entertainment content based on question & answer system.

show abstract

“…The FOAF (Friend-of-a-Friend) vocabulary (Graves et al 2007) describes user's information and their social connections through concepts and properties in form of an ontology using Semantic Web technologies (Golbeck 2005). The FOAF Vocabulary describes personal information and social relationships.…”

Section: User Modelmentioning

confidence: 99%

Towards a Social Trust-Aware Recommender for Teachers

Fazeli

Drachsler

Brouns

et al. 2014

Recommender Systems for Technology Enhanced Learning

View full text Add to dashboard Cite

Abstract. Online communities and networked learning provide teachers with social learning opportunities, allowing them to interact and collaborate with others in order to develop their personal and professional skills. However, with the large number of learning resources produced every day, teachers need to find out what are the most suitable ones for them. In this paper, we introduce recommender systems as a potential solution to this. The setting is the Open Discovery Space (ODS) project. Unfortunately, due to the sparsity of the educational datasets most educational recommender systems cannot make accurate recommendations. To overcome this problem, we propose to enhance a trustbased recommender algorithm with social data obtained from monitoring the activities of teachers within the ODS platform. In this article, we outline the requirements of the ODS recommender system based on experiences reported in related TEL recommender system studies. In addition, we provide empirical evidence from a survey study with stakeholders of the ODS project to support the requirements identified from a literature study. Finally, we present an agenda for further research intended to find out which recommender system should ultimately be deployed in the ODS platform.

show abstract

FOAF: Connecting People on the Semantic Web

Cited by 88 publications

References 2 publications

The reinforced enterprise business architecture (rebar) ontology

The reinforced enterprise business architecture (rebar) ontology

Constructing a Knowledge Base for Entertainment by Interlinking Multiple Data Sources

Towards a Social Trust-Aware Recommender for Teachers

Contact Info

Product

Resources

About