Emerging Implications of Open and Linked Data for Knowledge Sharing in Development

Davies, Tim; Edwards, Duncan

doi:10.1111/j.1759-5436.2012.00372.x

Cited by 29 publications

(18 citation statements)

References 12 publications

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“…Using interlinked ontologies, a user can navigate from a data item within one data source to related data items within other sources. In the SSWISI framework, we exploit this linked data concept Davies and Edwards 2012;Heath and Bizer 2011;Simov and Kiryakov;. In other words, any linked data applications based on the SSWISI framework can discover new data sources and updated knowledge at runtime by following data-level links (i.e., URIs aligned with classes/properties), and we can thereby deliver more complete answers as new data sources appear on the Web.…”

Section: Sswisi Ontology-ontoecomentioning

confidence: 99%

“…The distinguishing feature of this framework is information sharing with other external systems through the Linked Open Data (LOD) concept (Bizer et al. ; Davies and Edwards ; Heath and Bizer ).…”

Section: Introductionmentioning

confidence: 99%

“…It is a Web-based approach that can be openly accessed by anyone only through the simple act of registration. The distinguishing feature of this framework is information sharing with other external systems through the Linked Open Data (LOD) concept Davies and Edwards 2012;Heath and Bizer 2011).…”

Section: Introductionmentioning

confidence: 99%

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Social Semantic Web Framework for Industrial Synergies Initiation

Ghali

Frayret

2018

J of Industrial Ecology

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Summary Industrial synergies join two or more organizations that initially functioned as independent economic actors—that may originate from different sectors—together in order to share resources and exchange by‐products for mutual environmental, financial, and social benefits for its participants. Industrial symbioses (ISs) are networks of industrial synergies that can be initiated and created over time in various manners. In practice, the initiation of an industrial synergy, and particularly the identification of by‐product compatibilities, relies on direct or facilitated knowledge and information sharing, which is essential for discovering industrial synergy opportunities. Beyond its potential contribution to facilitate knowledge and information sharing among organizations, the Social Semantic Web (SSW) also has the potential to facilitate the initiation of industrial synergy by systematically and automatically identifying and recommending by‐products exchange compatibilities to potential partners. This framework exploits the ability of the sematic web to enable the search for analogies between potential partners within a region or district and existing industrial synergies around the world. This paper proposes the Social Semantic Web for Industrial Synergies Initiation (SSWISI) framework for the initiation of industrial synergies, which is based on the Social Semantic Web. The framework proposed in this paper adopts the concept of Linked Open Data (LOD), which enables the sharing and exchanging of information with external systems. This feature distinguishes the proposed framework from the existing approaches in its initiation of industrial synergies.

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Section: Sswisi Ontology-ontoecomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Social Semantic Web Framework for Industrial Synergies Initiation

Ghali

Frayret

2018

J of Industrial Ecology

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“…As is noted by Davies and Edwards [9]: "Governments, companies and non-governmental organisations (NGOs) across the world are increasingly exploring how the publication and use of open and linked data can have impacts on governance, economic growth and the delivery of services". However, it remains a challenge to bridge the digital divide and have open development data have significant impact for the rural poor themselves since these people often lack access to data portals on the Web or lack the literacy to interpret the data.…”

Section: Example For Paradigm Shiftsmentioning

confidence: 99%

From Knowledge Engineering for Development to Development Informatics

Schlobach¹,

Boer²,

Guéret

et al. 2015

Lecture Notes in Computer Science

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Abstract. Knowledge Sharing is a key enabler of development of the rural poor. ICTs can play a critical role, providing for instance market data or weather information to sustenance farmers, or education to children in remote areas. While advanced knowledge technology has proven its use in many applications in the so-called developed world most of the tools cannot be easily applied in developing countries, because of restricted infrastructure, unsuitable modes of communication or ignorance of the local context. In the K4D tutorial at EKAW 2014 we argued that a new of kind of research in Knowledge Engineering is needed in order to make knowledge technology useful outside privileged developed countries. This research will have to include existing social and economic structures as fundamental requirements in order to be successful. Finally, we claim that this holds for a broader spectrum of subdisciplines of Computer Science, and not just for Knowledge Engineering, which lets us advocate Development Informatics: a joint forum for CS researchers who try to make their research relevant for the developing world as well.

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“…Besides the yet-tobe-solved issue that many of the tools produced to deal with RDF data have an entry barrier that is too high for the average user, the bigger issue is that these tools are targeted only to ICT-literate individuals 8 and cover only one mode of interaction -most often in one language, too.…”

Section: Multimodal Interfacesmentioning

confidence: 99%