Sofia Stamou

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BalkaNet aims at building a multilingual lexical database consisting of WordNets in several Central and Eastern European languages. Even though it will be built in a similar way with EuroWordNet, new features will be implemented ranging from structuring the Inter-LingualIndex to ensure linking of conceptual equivalencies across WordNets to the development(More)
Thousands of users issue keyword queries to the Web search engines to find information on a number of topics. Since the users may have diverse backgrounds and may have different expectations for a given query, some search engines try to personalize their results to better match the overall interests of an individual user. This task involves two great(More)
In this paper we study how we can organize the continuously proliferating Web content into topical categories, also known as Web directories. In this respect, we have implemented a system, named TODE that uses a Topical Ontology for Directories' Editing. First, we describe the process for building our ontology of Web topics, which are treated in TODE as(More)
In this paper, we experimentally study how web searchers select the keywords to describe their information needs and specifically we investigate whether query keyword selections are influenced by the results the users reviewed for a previous search. For our study, we determine two types of searches: (i) those in which users define their queries without any(More)
This paper deals with the software infrastructure designed and developed to support the construction and validation of the Greek wordnet, which is currently being developed in the framework of the BalkaNet project. We describe the language resources and the tools which aim at the extraction and validation of linguistic information for wordnet development(More)
Web Directories are repositories of Web pages organized in a hierarchy of topics and sub-topics. In this paper, we present DirectoryRank, a ranking framework that orders the pages within a given topic according to how informative they are about the topic. Our method works in three steps: first, it processes Web pages within a topic in order to extract(More)