Multimedia Database Systems and Oracle Video Streaming

The acquisition, generation, storage and processing of multimedia data incomputers and transmission over networks have grown tremendously in the recentpast. A multimedia database management system must support multimedia datatypes in addition to providing facilities for traditional DBMS function like databasecreation, data modeling, data retrieval, data access and organization, and dataindependence.In this paper we present several aspects of multimedia databases. Most ofthe classical database systems are extended to support the storage of multimediadata. This paper will focus on oracle database and in its datatypes for supporting thestorage and management of multimedia data, known as Intermedia. It is also shownthe architecture, configuration and implementation of video streaming. All themultimedia data are stored inside the oracle database so they will be undertransactional control. The implementation uses several tables to demonstrate all theprocess for doing it in the Oracle database with Helix server. We have created theprocedures in PL/SQL for inserting, retrieving the video and we have also used aPL/SQL package integrated with PHP script in order to help users to makesearching using keywords

Towards a Modular Recommender System for Research Papers written in Albanian

In the recent years there has been an increase in scientific papers publications in Albania and its neighboring countries that have large communities of Albanian speaking researchers. Many of these papers are written in Albanian. It is a very time consuming task to find papers related to the researchers' work, because there is no concrete system that facilitates this process. In this paper we present the design of a modular intelligent search system for articles written in Albanian. The main part of it is the recommender module that facilitates searching by providing relevant articles to the users (in comparison with a given one). We used a cosine similarity based heuristics that differentiates the importance of term frequencies based on their location in the article. We did not notice big differences on the recommendation results when using different combinations of the importance factors of the keywords, title, abstract and body. We got similar results when using only the title and abstract in comparison with the other combinations. Because we got fairly good results in this initial approach, we believe that similar recommender systems for documents written in Albanian can be build also in contexts not related to scientific publishing.Comment: 8 page