An open-source toolkit for mining Wikipedia

Milne, David; Witten, Ian H.

doi:10.1016/j.artint.2012.06.007

Cited by 265 publications

(218 citation statements)

References 16 publications

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“…In IS, IE and IR attract strong interests from researchers not only to develop IR and IE models and engines [47,48], but also to extract and store knowledge from NL for other prototypical tasks [49,50,51]. The literature also shows broad real world applications for IE and IR, such as a tool for mining Wikipedia [52], automatic case acquisition from texts [53], creating virtual human dialogue [4], computer assisted writing systems [29], etc.…”

Section: Figure 3 Prototypical Tasks Commonly Studied In Nlp Researchmentioning

confidence: 99%

A Roadmap for Natural Language Processing Research in Information Systems

Liu¹,

Li²,

Thomas³

2017

Proceedings of the Annual Hawaii International Conference on System Sciences

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Section: Figure 3 Prototypical Tasks Commonly Studied In Nlp Researchmentioning

confidence: 99%

A Roadmap for Natural Language Processing Research in Information Systems

Liu¹,

Li²,

Thomas³

2017

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…adjective + noun, contiguous upper-case nouns etc. ), according to the process described in [17]; -while the above mentioned language processing is performed, a Wikification process of the original text, based on Wikipedia Miner [18] and originally applied in [19,20] is carried out in order to produce a number of topics from the Wikipedia common-sense knowledge base that are semantically relevant to the given text;…”

Section: Conceptualizationmentioning

confidence: 99%

An Environment for Collective Perception based on Fuzzy and Semantic Approaches

D’Aniello

Loia

Reformat

et al. 2018

Journal of Artificial Intelligence and Soft Computing Research

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This work proposes a software environment implementing a methodology for acquiring and exploiting the collective perception (CP) of Points of Interests (POIs) in a Smart City, which is meant to support decision makers in urban planning and management. This environment relies upon semantic knowledge discovery techniques and fuzzy computational approaches, including natural language processing, sentiment analysis, POI signatures and Fuzzy Cognitive Maps, turning them into a cohesive architectural blend in order to effectively gather the realistic perception of a user community towards given areas and attractions of a Smart City. The environment has been put to the test via a thorough experimentation against a massive user base of an online community with respect to a large metropolitan city (the City of Naples). Such an experimentation yielded consistent results, useful for providing decision makers with a clear awareness of the positive as well as critical aspects of urban areas, and thus helping them shape the measures to be taken for an improved city management and development.

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“…Note that the LKI() and LKO() functions were obtained with the Wikipedia Miner toolkit (Milne and Witten, 2013).…”

Section: Neighbourhood Variants (Lkimentioning

confidence: 99%

Projective methods for mining missing translations in DBpedia

Jakubina¹,

Langlais²

2015

Proceedings of the Eighth Workshop on Building and Using Comparable Corpora

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Each entry (concept) in DBpedia comes along a set of surface strings (property rdfs:label) which are possible realizations of the concept being described. Currently, only a fifth of the English DBpedia entries have a surface string in French, which severely limits the deployment of Semantic Web Annotation for this language. In this paper, we investigate the task of identifying missing translations, contrasting two projective approaches. We show that the problem is actually challenging, and that a carefully engineered baseline is not easy to outperform.

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An open-source toolkit for mining Wikipedia

Cited by 265 publications

References 16 publications

A Roadmap for Natural Language Processing Research in Information Systems

A Roadmap for Natural Language Processing Research in Information Systems

An Environment for Collective Perception based on Fuzzy and Semantic Approaches

Projective methods for mining missing translations in DBpedia

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