Discovering Semantics from Data-Centric XML

Li, Luochen; Le, Thuy Ngoc; Wu, Hong; Ling, Tok Wang; Bressan, Stéphane

doi:10.1007/978-3-642-40285-2_10

Cited by 14 publications

(3 citation statements)

References 9 publications

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“…According to the literature, the major directions of the researches around this topic could be understood as follows (Figure 2):  Mapping (transforming) XML documents into RDF or OWL to represent their semantics (as in [14-17])  Adding formal and organized semantics to the XML documents via semantic annotation or additional attributes and structures (as in [18][19][20][21][22])  Extracting implicit semantics within the XML documents (as in [23][24][25][26]) These three main approaches are compared in Table 1. Although the common problem of the mentioned approaches is lack of a widely-accepted standard, it can be proved that methods that belong to the class of adding semantics to the XML documents have more advantages than others.…”

Section: Xml Semanticsmentioning

confidence: 99%

XML and Semantics

Moradi

Keyvanpour

2015

IJECE

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Since the early days of introducing eXtensible Markup Language (XML), owing to its expressive capabilities and flexibilities, it became the defacto standard for representing, storing, and interchanging data on the Web. Such features have made XML one of the building blocks of the Semantic Web. From another viewpoint, since XML documents could be considered from content, structural, and semantic aspects, leveraging their semantics is very useful and applicable in different domains. However, XML does not by itself introduce any built-in mechanisms for governing semantics. For this reason, many studies have been conducted on the representation of semantics within/from XML documents. This paper studies and discusses different aspects of the mentioned topic in the form of an overview with an emphasis on the state of semantics in XML and its presentation methods.

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Section: Xml Semanticsmentioning

confidence: 99%

XML and Semantics

Moradi

Keyvanpour

2015

IJECE

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“…We have designed algorithms to automatically discover ORA-semantics with high accuracy for overall process (higher than 94%). More details can be found in [14]. Other effective algorithms can be studied; however, this task is orthogonal to this paper.…”

Section: Discovering Ora-semanticsmentioning

confidence: 99%

From Structure-Based to Semantics-Based: Towards Effective XML Keyword Search

Ling

et al. 2013

Conceptual Modeling

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Abstract. Existing XML keyword search approaches can be categorized into tree-based search and graph-based search. Both of them are structure-based search because they mainly rely on the exploration of the structural features of document. Those structure-based approaches cannot fully exploit hidden semantics in XML document. This causes serious problems in processing some class of keyword queries. In this paper, we thoroughly point out mismatches between answers returned by structure-based search and the expectations of common users. Through detailed analysis of these mismatches, we show the importance of semantics in XML keyword search and propose a semantics-based approach to process XML keyword queries. Particularly, we propose to use Object Relationship (OR) graph, which fully captures semantics of object, relationship and attribute, to represent XML document and we develop algorithms based on the OR graph to return more comprehensive answers. Experimental results show that our proposed semantics-based approach can resolve the problems of the structure-based search, and significantly improve both the effectiveness and efficiency.

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“…Several works such as XSeek [20], XReal [1], and [23] have attempted to solve the problem of meaningless answers by identifying 199 entity (object), and they can obtain more meaningful answers in several cases. However, these works do not use OIDs as ours, and thus 200 they do not always distinguish an object from an aggregation node, a composite attribute, and a multi-valued attribute.…”

mentioning

confidence: 99%