Selma Ayse Özel

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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(More)
Using functions in various forms, recent database publications have assigned " scores " , " preference values " , and " probabilistic values " to object-relational database tuples. We generalize these functions and their evaluations as sideway functions and sideway values, respectively. Sideway values represent the advices (recommendations) of data creators(More)
In this article, we discuss the issues involved in adding a native score management system to object-relational databases, to be used in querying Web metadata (that describes the semantic content of Web resources). The Web metadata model is based on topics (representing entities), relationships among topics (called <i>metalinks</i>), and importance scores(More)
This paper deals with the problem of modeling Web information resources using expert knowledge and per-sonalized 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/Ex-tensible Markup Language] documents on the Web),(More)
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