TYG: A Tag-as-You-Go Online Annotation Tool for Web Browsing and Navigation

Hu, Hongchang; Du, Xiaoyong

doi:10.1007/978-3-642-39787-5_25

Cited by 1 publication

(2 citation statements)

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“…By example the applications developed by the Dbpedia community (http://wiki.dbpedia.org/Applications). Thereby, different platforms offer semantic annotation (Bukhari et al, 2013;Golbeck et al, 2002;Hu and Du, 2013), although in most cases they require complex infrastructure because they are part of a framework. In addition, there are a range of tools that offer similar solutions related to keyword research (Vállez, 2011), but most of them are based exclusively on statistical techniques to provide the proposed keywords, without taking into account the content structure and specific domain.…”

Section: Digidoc Metaeditmentioning

confidence: 99%

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A semi-automatic indexing system based on embedded information in HTML documents

et al. 2015

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Purpose -This paper describes and evaluates the tool DigiDoc MetaEdit which allows the semi-automatic indexing of HTML documents. The tool works by identifying and suggesting keywords from a thesaurus according to the embedded information in HTML documents. This enables the parameterization of keyword assignment based on how frequently the terms appear in the document, the relevance of their position, and the combination of both.Design/methodology/approach -In order to evaluate the efficiency of the indexing tool, the descriptors/keywords suggested by the indexing tool are compared to the keywords which have been indexed manually by human experts. To make this comparison a corpus of HTML documents are randomly selected from a journal devoted to Library and Information Science.Findings -The results of the evaluation show that there: (1) is close to a 50% match or overlap between the two indexing systems, however if you take into consideration the related terms and the narrow terms the matches can reach 73%; and (2) the first terms identified by the tool are the most relevant.Originality/value -The tool presented identifies the most important keywords in an HTML document based on the embedded information in HTML documents. Nowadays, representing the contents of documents with keywords is an essential practice in areas such as information retrieval and e-commerce.

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Section: Digidoc Metaeditmentioning

confidence: 99%

Section: Digidoc Metaeditmentioning

confidence: 99%