FLOPPIES: A Framework for Large-Scale Ontology Population of Product Information from Tabular Data in E-commerce Stores

Nederstigt, Lennart J.; Aanen, Steven S.; Vandic, Damir; Frăsincar, Flavius

doi:10.1016/j.dss.2014.01.001

Cited by 31 publications

(16 citation statements)

References 19 publications

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“…These solutions are the result of the tool evaluation in real time. This occurs as a the result of an agreement between the specialists and/or end users of the developed tool (see [18,42,49,57,59]). …”

Section: Tools For Product-service Description Based On Ontologiesmentioning

confidence: 99%

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Ontological models for information retrieval of product-service

Reyes-Álvarez

Fernández²,

Rodrı́guez-Muñiz

et al. 2016

Proceedings of the 4th Spanish Conference on Information Retrieval

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More and more companies need a model for product-service information retrieval. All businesses agree on the need of a common vocabulary among customers, commercial partners and suppliers. Building ontologies as models of knowledge representation about product-service information is increasingly seen as a key to enable interoperability between software agents and people on the Web or through to network connections. In addition, in recent years it has strengthened the alliance between industry and scientific research communities. The development of ontology-based smart catalogs captures their attention. This work surveys ontological models for information retrieval on product-service in the industry. Research trends previously addressed and open issues are discussed. Besides, some of the solutions on functionality and behavior of ontologies-based product-service are presented as an alternative to achieve an optimal level during information retrieval using smart catalogs in business scenarios.

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Section: Tools For Product-service Description Based On Ontologiesmentioning

confidence: 99%

“…In [42] a framework for semi-automatic ontology population of tabular product information from Web shops is proposed. This approach uses the semantics of product attributes and their corresponding values to better product comparison.…”

Section: Tools For Product-service Description Based On Ontologiesmentioning

confidence: 99%

Ontological models for information retrieval of product-service

Reyes-Álvarez

Fernández²,

Rodrı́guez-Muñiz

et al. 2016

Proceedings of the 4th Spanish Conference on Information Retrieval

View full text Add to dashboard Cite

show abstract

“…Other works proposed mechanisms, sometimes borrowed to belief revision (Flouris 2006) to keep the modified ontology consistent and logically sound (Haase and Stojanovic 2005) and defined how to propagate changes in distributed ontologies and in the applications that use them (Stuckenschmidt and Klein 2003). With similar purposes to ontology engineering, ontology evolution can be fed thanks to the knowledge identified in textual documents using NLP tools (Buitelaar and Cimiano 2008) and relying on document structure, like in (Nederstigt et al 2014 with the evolution of these semantic annotations when the textual corpus or when the indexing vocabularies evolve (Tissaoui et al 2011;Da Silveira et al 2015;Cardoso et al 2016). Zablith et al (2015) propose a recent overview of the major trend in this domain.…”

Section: Coping With Knowledge Evolutionmentioning

confidence: 99%

Knowledge Engineering

Aussenac-Gilles

Charlet

Reynaud

2020

A Guided Tour of Artificial Intelligence Research

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Knowledge engineering refers to all technical, scientific and social aspects involved in designing, maintaining and using knowledge-based systems. Research in this domain requires to develop studies on the nature of the knowledge and its representation, either the users' knowledge or the knowledge-based system's knowledge. It also requires the analysis of what type of knowledge sources is considered, what human-machine interaction is envisaged and more generally the specific end use. To that end, knowledge engineering needs to integrate innovation originating from artificial intelligence, knowledge representation, software engineering as well as modelling. This integration enables both users and software systems to manage and use the knowledge for inference reasoning. Other advances are fuelling new methods, software tools and interfaces to support knowledge modelling that are enabled by conceptual or formal knowledge representation languages. This chapter provides an overview of the main issues and major results that are considered as milestones in the domain, with a focus on recent advances marked by the raise of the semantic web, of ontologies and the social web.

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“…Linked Data allows for automated reasoning, since data links are machine-readable and semantics are encoded in these links (Nederstigt et al, 2014). Thus, knowledge that is encoded implicitly within the data links can be extracted.…”

Section: Knowledge Generationmentioning

confidence: 99%

Benefits of Linked Data for Interoperability During Crisis Management

Roller¹,

Roes²,

Verbree

2015

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

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Gi4DM and ISPRS, WG IV/7KEY WORDS: Linked Data, Ontology, Data sharing, Crisis management, Power cut, Flood, Smart grid, Utility domain ABSTRACT:Floodings represent a permanent risk to the Netherlands in general and to her power supply in particular. Data sharing is essential within this crisis scenario as a power cut affects a great variety of interdependant sectors. Currently used data sharing systems have been shown to hamper interoperability between stakeholders since they lack flexibility and there is no consensus in term definitions and interpretations. The study presented in this paper addresses these challenges by proposing a new data sharing solution based on Linked Data, a method of interlinking data points in a structured way on the web. A conceptual model for two data sharing parties in a flood-caused power cut crisis management scenario was developed to which relevant data were linked. The analysis revealed that the presented data sharing solution burderns its user with extra costs in the short run, but saves resources in the long run by overcoming interoperability problems of the legacy systems. The more stakeholders adopt Linked Data the stronger its benefits for data sharing will become.

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FLOPPIES: A Framework for Large-Scale Ontology Population of Product Information from Tabular Data in E-commerce Stores

Cited by 31 publications

References 19 publications

Ontological models for information retrieval of product-service

Ontological models for information retrieval of product-service

Knowledge Engineering

Benefits of Linked Data for Interoperability During Crisis Management

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