Planning non existent dictionaries

In 2013, a conference entitled Planning non-existent dictionaries was held at the University of Lisbon. Scholars and lexicographers were invited to present and submit for discussion their research and practices, focusing on aspects that are traditionally perceived as shortcomings by dictionary makers and dictionary users. This book contains a collection of papers divided in three sections. The first section is devoted to heritage dictionaries, referring to lexicographic projects that aim to register all the documented words in a language, particularly those that can be described as early linguistic evidence. The second section is devoted to dictionaries for special purposes and it gathers papers that describe innovative lexicographic projects. The last section in this volume provides an overview of contemporary e- lexicography projects.publishe

An Application of Meta Search Agent System Based on Semantized Tags for Enhanced Web Searching

Web searching techniques have been investigated and implemented in many aspects.Particularly, in case of personalization, more important issue is how to manipulate the results retrieved from search engines for better user understandability and satisfaction. Such manipula-tion processes are i) ranking the results in accordance with user relevance, and ii) exchangingthe results between users who have similar tastes. Thus, our work has been mainly focusing on relevance-based ranking mechanism as well as sharing schemes for the results retrieved from het-erogeneous web information sources. In this paper, we propose a hybrid model for meta search agent systems with three main functionalities, i.e., i) URL filtering method for preprocessing, ii) tag-based information conceptualization scheme for ranking, and iii) ontology-based stan-dardization scheme for sharing. It means that the proposed meta search agent model exploits semantized tags to formalize and share heterogeneous information obtained from multiple searchengines and to finally maintain the shared information. Within the tag-based information space, a conceptual distance between retrieval interest and search results can be efficiently computed. Byconducting some experimentations, we have shown the semantized tag model can conceptualize the retrieved results, and make them sharable. We also compare performance of the proposedsystem with hyperlink-based methodologies