Topic-centric querying of web information resources

Date

2001-01-01

Author

Altıngövde, İsmail Sengör
Ulusoy, O
Ozsoyoglu, G
Ozsoyoglu, ZM

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This paper deals with the problem of modeling web information resources using expert knowledge and personalized user information, and querying them in terms of topics and topic relationships. We propose a model for web information resources, and a query language SQL-TC (Topic-Centric SQL) to query the model. The model is composed of web-based information resources (XML or HTML documents on the web), expert advice repositories (domain-expert-specified metadata for information resources), and personalized information about users (captured as user profiles, that indicate users' preferences as to which expert advice they would like to follow, and which to ignore, etc).

Subject Keywords

Modeling web information resources, Query output, SQL-TC (Topic-Centric SQL)

URI

https://hdl.handle.net/11511/53194

Journal

DATABASE AND EXPERT SYSTEMS APPLICATIONS

Collections

Department of Computer Engineering, Article

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Topic-Centric Querying of Web Information Resourcest Altıngövde, İsmail Sengör; Ulusoy, Ö.; Özsoyoğlu, G.; Özsoyoğlu, Z.M. (2001-01-01) © Springer-Verlag Berlin Heidelberg 2001.This paper deals with the problem of modeling web information resources using expert knowledge and personalized user information, and querying them in terms of topics and topic relationships. We propose a model for web information resources, and a query language SQL-TC (Topic-Centric SQL) to query the model. The model is composed of web-based information resources (XML or HTML documents on the web), expert advice repositories (domain-expert-specified metadata for inf...
Metadata-based modeling of information resources on the web Ozel, SA; Altıngövde, İsmail Sengör; Ulusoy, O; Ozsoyoglu, G; Ozsoyoglu, ZM (Wiley, 2004-01-15) This paper deals with the problem of modeling Web information resources using expert knowledge and personalized user information for improved Web searching capabilities. We propose a "Web information space" model, which is composed of Web-based information resources (HTML/XML [Hypertext Markup Language/Extensible Markup Language] documents on the Web), expert advice repositories (domain-expert-specified meta-data for information resources), and personalized information about users (captured as user profiles...
Analyzing the polarity of opinionated queries Chelaru, Sergiu; Altıngövde, İsmail Sengör; Siersdorfer, Stefan (2012-04-27) In this paper, we present an in-depth analysis of Web search queries for controversial topics, focusing on query sentiment. To this end, we conduct extensive user assessments as well as an automatic sentiment analysis using the SentiWordNet thesaurus.
Fuzzy data representation and querying in XML database Ustunkaya, Ekin; Yazıcı, Adnan; George, Roy (2007-02-01) Real-world information including subjective opinions and judgments need imprecise data to be modeled for representation and querying in databases. The Extensible Markup Language (XML) has become a de-facto standard for data modeling and exchange in recent years. Efforts on modeling imprecision and representing such data in XML have not been fully developed. In this paper, an XML based fuzzy data representation and querying system is presented. Complex and imprecise data are represented using a fuzzy extensi...
APPLICATION OF TEXT MINING TO TECHNOLOGY MANAGEMENT DOMAIN TO EXTRACT TOPICS AND TRENDS Tekin, Yaşar; Karagöz, Pınar; Department of Science and Technology Policy Studies (2022-1-17) Topic modeling is a widely used technique to extract latent topics from large document collections. One of the most remarkable uses of it is its application to scientific fields. If topic modeling is applied to all articles published in a specific scientific field, it provides an overall view of topics and trends for the time period under consideration. If it is applied to a single conference or journal, it reveals differences from global trends. The most popular method used for topic modeling is Latent Dir...

Citation Formats

İ. S. Altıngövde, O. Ulusoy, G. Ozsoyoglu, and Z. Ozsoyoglu, “Topic-centric querying of web information resources,” DATABASE AND EXPERT SYSTEMS APPLICATIONS, pp. 699–711, 2001, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53194.