Acquiring owl ontologies from data-intensive web sites

Benslimane, Sidi Mohamed; Benslimane, Djamal; Malki, Mimoun; Amghar, Youssef; Saliah-Hassane, Hamadou

doi:10.1145/1145581.1145593

Cited by 13 publications

(3 citation statements)

References 24 publications

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“…One of the aspects that existing methods can be classified based on it is the type of the source of transmission. They are roughly classified into one of the five categories: approaches based on an analysis of relational sche Q1 ma (Stojanovic et al, 2002;Li et al, 2005;Sane and Shirke, 2009;Dong et al, 2013;Thuy et al, 2014), approaches based on an analysis of tuples (Astrova, 2004;Sonia and Khan, 2008), approaches based on HTML pages (Astrova and Stantic, 2005;Benslimane et al, 2006), approaches based on entity 2 LHT 34,4 relationship or extended entity relationship models (Xu et al, 2004;Upadhyaya and Kumar, 2005;Trinkunas and Vasilecas, 2007;Zhou et al, 2011;Russo et al, 2012), and approaches based on Structure Query Language (SQL) (Tirmizi et al, 2008;Astrova, 2009;Dadjoo and Kheirkhah, 2015).…”

Section: Related Workmentioning

confidence: 99%

Construction of the structural definition-based terminology ontology system and semantic search evaluation

Song²,

Lee

2016

LHT

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During the production of your article we came across the following queries listed in the table below. Please review the queries and insert your reply or correction at the corresponding line in the PDF proof of the article which follows this query page. No. Queries Q1 Please check the change in reference from Dong (2013) to Dong et al. (2013) as per the reference list in the sentence "They are roughly classified…analysis of relational schema" is correct. Else provide complete publication details for Dong (2013). Q2 Please provide name of editor(s) in references: Astrova (2004), Corcho et al. (2005). Q3 Please provide the names of editor(s) and city location of publisher in reference: Astrova (2009). Q4 Please provide the names of editor(s), name of publisher and its city location in references Astrova and Stantic (2005), López-Pellicer et al. (2008).

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Section: Related Workmentioning

confidence: 99%

Construction of the structural definition-based terminology ontology system and semantic search evaluation

Song²,

Lee

2016

LHT

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“…To maintain clusters we use a threshold dt. Given a cluster C and a page schema ps and the set of associated pages, ps can be inserted in C if dist(ps, r C ) is lower than the given threshold dt 3 . For instance, in right side of Figure 4 there are the clustering of Page1, Page2 and Page3.…”

Section: Ps1∪ps2|mentioning

confidence: 99%

A Structured Approach to Data Reverse Engineering of Web Applications

Virgilio

Torlone

2009

Lecture Notes in Computer Science

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The majority of documents on the Web are written in HTML, constituting a huge amount of legacy data: all documents are formatted for visual purposes only and with different styles due to diverse authorships and goals and this makes the process of retrieval and integration of Web contents difficult to automate. We provide a contribution to the solution of this problem by proposing a structured approach to data reverse engineering of data-intensive Web sites. We focus on data content and on the way in which such content is structured on the Web. We profitably use a Web data model to describe abstract structural features of HTML pages and propose a method for the segmentation of HTML documents in special blocks grouping semantically related Web objects. We have developed a tool based on this method that supports the identification of structure, function, and meaning of data organized in Web object blocks. We demonstrate with this tool the feasibility and effectiveness of our approach over a set of real Web sites.

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“…Although researchers realize that manual construction of ontologies is a tedious, time-consuming, and error-prone task, fully automated tools to build ontologies from existing information are still at a very early stage of implementation. As a result, the method of a semi-automatic ontology extraction can be seen as a practical short-term solution (Benslimane et al, 2006). The fact that ontologies are tedious and difficult to create also makes the investigation of how to reuse existing ontologies a popular research topic.…”

Section: Machine Processibilitymentioning

confidence: 99%

Ontology and Semantic Web

Colomb

SpringerReference

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This paper discusses the development of a new information representation system embodied in ontology and the Semantic Web. The new system differs from other representation systems in that it is based on a more sophisticated semantic representation of information, aims to go well beyond the document level, and designed to be understood and processed by machine. A common theme underlying these three features, i.e., turning documents into meaningful interchangeable data, reflects a rising use expectation nurtured by modern technology and, at the same time, presents a unique challenge for its enabling technologies.

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Acquiring owl ontologies from data-intensive web sites

Cited by 13 publications

References 24 publications

Construction of the structural definition-based terminology ontology system and semantic search evaluation

Construction of the structural definition-based terminology ontology system and semantic search evaluation

A Structured Approach to Data Reverse Engineering of Web Applications

Ontology and Semantic Web

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