An ontology-driven decision support system for land delivery in Zambia

Abanda, Fonbeyin Henry; Ng'ombe, Austine; Tah, J.H.M.; Keivani, Ramin

doi:10.1016/j.eswa.2011.02.130

Cited by 27 publications

(7 citation statements)

References 5 publications

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“…With the ever-developing technological fronts, many interesting e-government applications are going to be unleashed. For example, the emergence of the semantic Web (next generation of Web technologies) opens great opportunities where information representation, sharing and re-use can be perfected to the delight of all the stakeholders (Abanda, Ng’ombe, Tah and Keivani, 2011).…”

Section: Discussionmentioning

confidence: 99%

A conceptual framework for e-government development in resource-constrained countries

Bwalya

Mutula

2016

Information Development

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Many e-government interventions in resource-constrained countries fail because of the cost involved in setting up appropriate, robust and responsive e-government programmes and platforms. The failure of these projects results into paying a higher opportunity cost owing to missing out on socio-economic benefits that e-government has to offer. To avert the higher failure rate of e-government interventions, it is vital that effervescent e-government design be informed by context-aware conceptual frameworks and models. Using the Mixed Methods Research (MMR) approach, this paper explores the contextual factors that influence e-government design and development and proposes a conceptual framework with due reference to local contextual characteristics. The proposed framework may act as a blueprint for designing e-government interventions in contextually similar environments endowed with complex cultural setups. The paper brings out pointers to understanding critical factors that influence e-government development especially in a developing world context. The results indicate that effervescent e-government design needs to be informed by the unique contextual characteristics in the area in which it is implemented.

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Section: Discussionmentioning

confidence: 99%

A conceptual framework for e-government development in resource-constrained countries

Bwalya

Mutula

2016

Information Development

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“…Abanda et al (Abanda et al, 2017) found by literature search that the vast majority of other BIM-based cost-estimation techniques are not based on ontologies. Nevertheless, the BIM cost estimate ontology area is constantly evolving, and below is a collection of peer reviewed literature from the area:  Abanda et al, (Abanda et al, 2011) developed an ontology to estimate the cost of labor in construction projects.  Lee et al, (Lee et al, 2014) proposed an ontology-based BIM approach for construction cost estimation.…”

Section: From Ifc To Ifcowl Ontologymentioning

confidence: 99%

Critical Review of the Integration of Bim to Semantic Web Technology

Godager¹

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The AEC–FM industry (Architecture/Engineering/Construction and Facilities Management) is increasingly using different building information modeling (BIM) methodology to solve complex challenges. With help of Semantic WEB technology, product data models and other relevant information are increasingly linked to BIM models. The article discusses the challenges of existing BIM standards to meet future requirements, to fully utilize semantic technology. The article provides suggestions for further research, and it specifically calls for a more strategic research that can look a bit longer than just the challenges associated with various limited case projects. The article discusses whether existing BIM formats are able to meet future requirements, where the potential in the construction industry to fully utilize semantic web technology is difficult with today's BIM standards. Furthermore, it is suggested that previously developed SW resources should be gathered, then earlier initiatives are easier to find, use and build upon. The literature study shows many initiatives spread across many domains in the AEC-FM area. Most studied articles have a high degree of technological focus, where the semantic web opportunities are tested in a chosen case.The findings of this study can be used as a starting point for further strategic research and development.

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“…In the domain of land administration, we identify several efforts for standardizing cadastral information, along with casespecific applications: the Swiss DM.01 (Steudler, 2006), the FIG Core Cadastral Domain model (Lemmen and Van Oosterom, 2006), with applications in Portugal (Hespanha et al, 2006), the Hungarian digital base map standard, DAT (Iván et al, 2004), the Social Tenure Domain Model (STDM) (Lemmen et al, 2007), with applications in Ethiopia (Lemmen and Zevenbergen, 2010), and the Zambia land delivery ontology (Abanda et al, 2011). In Southern Kenya, various approaches have been used to document the particular humanland relations formed in residence areas of the Maasai Mara (Wayumba, 2017), but to the best of our knowledge, this is the first attempt towards the development of LADM within the southern Kenyan Maasai framework.…”

Section: Research Context and Related Workmentioning

confidence: 99%

The Maasai of Southern Kenya Domain Model of Land Use

Karamesouti

Schultz

Chipofya

et al. 2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. We present a domain model that formalises the human-land relations in the Maasai nomadic pastoralist society in Kenya, referred to as MSKDM, and its integration with the prominent Land Administration Domain Model (LADM). Our long-term aim is to facilitate a land administration system that can accurately capture and express salient Maasai concepts of land use, ownership, communal tenure, and to assist in transparency during land transactions. We use an extensive corpus of existing research literature, and input from our own on-site workshops, as source material for our domain model. We use real sketch maps drawn by Maasai community members that we collected during our field studies for validation, and to demonstrate how our model can be operationalised.

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An ontology-driven decision support system for land delivery in Zambia

Cited by 27 publications

References 5 publications

A conceptual framework for e-government development in resource-constrained countries

A conceptual framework for e-government development in resource-constrained countries

Critical Review of the Integration of Bim to Semantic Web Technology

The Maasai of Southern Kenya Domain Model of Land Use

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