Vivo

McCue, Janet; Chiang, Kathy; Lowe, Brian; Caruso, Brian; Corson-Rikert, Jonathan; Devare, Medha

doi:10.1045/july2007-devare

Cited by 17 publications

(4 citation statements)

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“…VIVO, put forward by Connell University, is very useful reference. VIVO integrated with powerful ontology management tools, through construction of ontology around scientific experts ("people"), using Jena inference system to realize associated navigation and retrieval of research objects [12,13]. Considering scientific research agent, research condition, research activities and research output are core concepts during scientific research progress, in this paper, we proposed the scientific research ontology around research progress.…”

Section: Scientific Research Ontologymentioning

confidence: 99%

“…Lots of countries are paying more and more attention to domain knowledge service platform, and some large, national level research projects and practical activities have been carried up. There are some systems or software tools that we can refer to, such as VIVO based on ontology [3,4], VRE based on SOA [5,6], Harvard Catalyst, Sciologer of Columbia University [7], SKE of CAS [8], the open source software of virtual learning environment SaKai, [9][10][11], etc. These construction experiences provide a good foundation for this study.…”

Section: Introductionmentioning

confidence: 99%

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Research on Construction of Agricultural Domain Knowledge Service Platform Based on Ontology

Kou

Zhao

Xian

2015

Computer and Computing Technologies in Agriculture VIII

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Abstract. Scientific researchers' increasing demand for knowledge service under the new situation, makes it urgent to embed information service into user research process, ad build an incorporate knowledge platform that integrates knowledge, skills, tools, and services of certain professional field. This paper put forward the technical solution of agricultural domain knowledge service platform based on ontology, including resource organization based on ontology, platform design and development. The construction progress of ontology base and service functions based on ontology are shown by application practice in rice domain.

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Section: Scientific Research Ontologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Construction of Agricultural Domain Knowledge Service Platform Based on Ontology

Kou

Zhao

Xian

2015

Computer and Computing Technologies in Agriculture VIII

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“…В описанных проектах для публикации научной информации преимущественно использованы системы VIVO [10,11], CKAN и некоторые другие. Рассмотрим их более подробно.…”

Section: способы публикации открытых научных данныхunclassified

Study of current approaches for Web publishing of open scientific data

Муромцев¹,

Леманн²,

Семерханов³

et al. 2015

Naučno-teh. vestn. inf. tehnol. meh. opt.

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“…This has resulted in pointing out the need for contextualized search of scientific information, for which more detailed models of research work are required. In the field of Research Information Systems (RIS) standards as CERIF have been developed to a state of maturity (Jeffery, 2010), and ontology-based approaches as VIVO are being promoted to build richer access to digital collections of scholarly content (Devare et al, 2007). These models go a step ahead in the detail of description of research and the context in which it is produced, modeling explicitly organizations, people, projects, facilities and events among other core entities.…”

Section: Introductionmentioning

confidence: 99%

On Modeling Research Work for Describing and Filtering Scientific Information

Sicilia

2010

Metadata and Semantic Research

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Abstract. Existing models for Research Information Systems (RIS) properly address the description of people and organizations, projects, facilities and their outcomes, e.g. papers, reports or patents. While this is adequate for the recording and accountability of research investments, helping researchers in finding relevant people, organizations or results requires considering both the content of research work and also its context. The content is not only related to the domain area, but it requires modeling methodological issues as variables, instruments or scientific methods that can then be used as search criteria. The context of research work is determined by the ongoing projects or scientific interests of an individual or a group, and can be expressed using the same methodological concepts. However, modeling methodological issues is notably complex and dependent on the scientific discipline and research area. This paper sketches the main requirements for those models, providing some motivating examples that could serve as a point of departure for future attempts in developing an upper ontology for research methods and tools.

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Vivo

Cited by 17 publications

References 0 publications

Research on Construction of Agricultural Domain Knowledge Service Platform Based on Ontology

Research on Construction of Agricultural Domain Knowledge Service Platform Based on Ontology

Study of current approaches for Web publishing of open scientific data

On Modeling Research Work for Describing and Filtering Scientific Information

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