Web Directory Construction Using Lexical Chains

Stamou, Sofia; Krikos, Vlassis; Kokosis, Pavlos; Ntoulas, Alexandros; Christodoulakis, Dimitris

doi:10.1007/11428817_13

Cited by 14 publications

(9 citation statements)

References 13 publications

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“…Kumar, Raghavan, Rajagopalan, and Tomkins (2001) combined ontologist's knowledge with the Clever search engine efficiency in building web directory. Stamou, Krikos, Kokosis, Ntoulas, and Christodoulakis (2005) developed an approach for automatically assigning web pages to a directory framework based on the WordNet's linguistic information in web textual data.…”

Section: Web Directory Developmentmentioning

confidence: 99%

Managing web repositories in emerging economies: Case studies of browsing web directories

Chung

2012

International Journal of Information Management

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Section: Web Directory Developmentmentioning

confidence: 99%

Managing web repositories in emerging economies: Case studies of browsing web directories

Chung

2012

International Journal of Information Management

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“…Lastly, we attached to each of the hierarchy's lower level concepts those WordNet hierarchies that encounter a specialization (is-a) relation to it. A detailed description of the process we followed for building our hierarchy can be found in [11].…”

Section: A Subject Hierarchy For the Webmentioning

confidence: 99%

“…Previous work mainly focuses on using machine learning techniques to build text classifiers. Several methods have been proposed in the literature for the construction of document classifiers, such as decision trees [5], Support Vector Machines [13], Bayesian classifiers [24], hierarchical text classifiers [19], [11], [9], [20], [26], [12], [21], [7], [17]. The main commonality in previous methods is that their classification accuracy depends on a training phase, during which statistical techniques are used to learn a model based on a labeled set of training exampled.…”

Section: Related Workmentioning

confidence: 99%

Classifying Web Data in Directory Structures

Stamou¹,

Ntoulas

Krikos³

et al. 2006

Frontiers of WWW Research and Development - APWeb 2006

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Abstract. Web Directories have emerged as an alternative to the Search Engines for locating information on the Web. Typically, Web Directories rely on humans putting in significant time and effort into finding important pages on the Web and categorizing them in the Directory. In this paper, we experimentally study the automatic population of a Web Directory via the use of a subject hierarchy. For our study, we have constructed a subject hierarchy for the top level topics offered in Dmoz, by leveraging ontological content from available lexical resources. We first describe how we built our subject hierarchy. Then, we analytically present how the hierarchy can help in the construction of a Directory. We also introduce a ranking formula for sorting the pages listed in every Directory topic, based on the pages' quality, and we experimentally study the efficiency of our approach against other popular methods for creating Directories.

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“…Stamou, Krikos, Kokosis, Ntoulas, and Christodoulakis (2005) developed an approach for automatically assigning Web pages to a directory framework based on the linguistic information in Web textual data. The approach leveraged a variety of lexical resources such as WordNet (Fellbaum, 1998), Suggested Upper Merged Ontology (Pease, Niles, & Li, 2002), Google directory (http://dir.google.com/), and WordNet Domains (http://wndomains.itc.it/) to build a subject hierarchy and to define concepts in the hierarchy.…”

Section: Development Of Web Directoriesmentioning

confidence: 99%

Browsing the underdeveloped Web: An experiment on the Arabic Medical Web Directory

Chung

Chen

2008

J. Am. Soc. Inf. Sci.

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While the Web has grown significantly in recent years, some portions of the Web remain largely underdeveloped, as shown in a lack of high-quality content and functionality. An example is the Arabic Web, in which a lack of well-structured Web directories limits users' ability to browse for Arabic resources. In this research, we proposed an approach to building Web directories for the underdeveloped Web and developed a proof-of-concept prototype called the Arabic MedicalWeb Directory (AMedDir) that supports browsing of over 5,000 Arabic medical Web sites and pages organized in a hierarchical structure. We conducted an experiment involving Arab participants and found that the AMedDir significantly outperformed two benchmark Arabic Web directories in terms of browsing effectiveness, efficiency, information quality, and user satisfaction. Participants expressed strong preference for the AMedDir and provided many positive comments. This research thus contributes to developing a useful Web directory for organizing the information in the Arabic medical domain and to a better understanding of how to support browsing on the underdeveloped Web.

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Web Directory Construction Using Lexical Chains

Cited by 14 publications

References 13 publications

Managing web repositories in emerging economies: Case studies of browsing web directories

Managing web repositories in emerging economies: Case studies of browsing web directories

Classifying Web Data in Directory Structures

Browsing the underdeveloped Web: An experiment on the Arabic Medical Web Directory

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