Supporting business intelligence by providing ontology-based end-user information self-service

Spahn, Michael; Kleb, Joachim; Grimm, Stephan; Scheidl, Stefan

doi:10.1145/1452567.1452577

Cited by 22 publications

(17 citation statements)

References 10 publications

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“…The attention of most researchers was concentrated on the use of ontologies, and subsequently on the use of the OWL together with the ontologies. The primary studies that used ontologies included: Priebe and Pernul (), Sell et al (), Skoutas and Simitsis (), Skoutas and Simitsis (), Niemi et al (), Nazri et al (), Salguero et al (), Sell et al (), Diamantini and Potena (), Salguero et al (), Spahn et al (), Skoutas et al (), Niinimäki and Niemi (), Nebot et al (), Simitsis et al (), Romero and Abelló (), Khouri and Ladjel (), Jiang et al (), Romero et al (), Bergamaschi et al (), Martin et al (), Nebot and Berlanga (), Selma et al (), Sell et al (), Thenmozhi and Vivekanandan (), Thenmozhi and Vivekanandan (), Ali et al (), Khouri et al (), Elamin and Feki (), Talebzadeh et al (), Ramasamy and Palanivel (), Samuel (), El Sarraj et al (), Di et al (), Abelló et al (), Lamolle et al (), and Steiner et al ().…”

Section: Resultsmentioning

confidence: 99%

Using Semantic Web technologies in the development of data warehouses: A systematic mapping

Gacitúa

Mazón

Cravero

2018

WIREs Data Min & Knowl

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The exploration and use of Semantic Web technologies have attracted considerable attention from researchers examining data warehouse (DW) development. However, the impact of this research and the maturity level of its results are still unclear. The objective of this study is to examine recently published research articles that take into account the use of Semantic Web technologies in the DW arena with the intention of summarizing their results, classifying their contributions to the field according to publication type, evaluating the maturity level of the results, and identifying future research challenges. Three main conclusions were derived from this study: (a) there is a major technological gap that inhibits the wide adoption of Semantic Web technologies in the business domain;(b) there is limited evidence that the results of the analyzed studies are applicable and transferable to industrial use; and (c) interest in researching the relationship between DWs and Semantic Web has decreased because new paradigms, such as linked open data, have attracted the interest of researchers. This article is categorized under: Fundamental Concepts of Data and Knowledge > Information Repositories Fundamental Concepts of Data and Knowledge > Knowledge Representation Algorithmic Development > Web Mining

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Section: Resultsmentioning

confidence: 99%

Using Semantic Web technologies in the development of data warehouses: A systematic mapping

Gacitúa

Mazón

Cravero

2018

WIREs Data Min & Knowl

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“…An ontology-based architecture is proposed to convert data to clear business model using semantic middleware assimilation (Spahn, Kleb et al 2008).…”

Section: Related Work and State Of The Artmentioning

confidence: 99%

Towards a Successful Startup Company: Best Successful Team Components

El-Khazendar¹,

El‐Khozondar²

2015

AJTAS

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Abstract:Entrepreneurship became an important sector in the Arab world. A lot of young entrepreneurs have ambitious projects and creative ideas, which they hope to get fund and incubation to implement these ideas. There are three incubators in Gaza which provide the required incubation, training and fund. Entrepreneurs personality characters have a big effect on the success of their startup companies; moreover, the startup companies category plays a big role on the success of their startup companies especially in small markets such as in Gaza. So we have to find a way to discover which is the most successful ideas and under which category can be classified with paying tight attention for the characters of the team members for each idea. They should have some traits which qualify this team seems to be successful. In the present paper, we are using computing approach based on data mining techniques to study one of the business fields to produce a business technique that helps in extraction the association rules for the incubated startup companies in Gaza. Moreover, we will study these association rules to understand and help the incubators in Gaza to avoid the failed ideas and teams as possible as it could be. Therefore, the incubators will be able to improve the incubation and entrepreneurship sector and increase the number of successful startup companies in Gaza and reduce the wasted fund and time on failed startups.

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“…For instance, [18] contributes a first attempt to enable end-user self-service BI with the help of ontology-based infrastructure and reasoning. By providing a target ontology capturing the business view the authors achieve a declarative and flexible decoupling between data sources and business oriented models.…”

Section: Flexible Data Models For Business Metadatamentioning

confidence: 99%

An architecture for ad-hoc and collaborative business intelligence

Berthold

Rösch

Zöller³

et al. 2010

Proceedings of the 2010 EDBT/ICDT Workshops

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The success of organizations or business networks depends on fast and well-founded decisions taken by the relevant people in their specific area of responsibility. To enable timely and well-founded decisions, it is often necessary to perform ad-hoc analyses in a collaborative manner involving domain experts, line-of-business managers, key suppliers or customers. Current Business Intelligence (BI) solutions fail to meet the challenges of ad-hoc and collaborative decision support, slowing down and hurting organizations.The main goal of our envisioned system, which will be designed and implemented in a future research project, is to realize a highly scalable and flexible platform for collaborative, ad-hoc BI over large data sets. This will be achieved by developing methodologies, concepts and an infrastructure to enable an information self-service for business users and collaborative decision making over high-volume data sources within and across organizations.

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Supporting business intelligence by providing ontology-based end-user information self-service

Cited by 22 publications

References 10 publications

Using Semantic Web technologies in the development of data warehouses: A systematic mapping

Using Semantic Web technologies in the development of data warehouses: A systematic mapping

Towards a Successful Startup Company: Best Successful Team Components

An architecture for ad-hoc and collaborative business intelligence

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