| Abstract |
Greek music (byzantine and traditional) is an important topic in local as well as international history. There are too many characteristics of high significance that distinguish and differentiate this music from the music of the rest of the world. There are also too complex issues that make the study and organization of it very hard.
Nowadays, since the development of technology allows the management of the mass and variety of information, we try to offer a solution that respects the specificity of the music and makes easier the documentation, organization, search and promotion.
The technological approaches that are tried in this work - applications include the development of an information system with the design of a database system, the usage of web services, the semantic notation, analysis and publicity of data and the utilization of recommendation algorithms.
The development and usage of services by enterprises and academic organizations has increased exponentially in recent years. However, heterogeneity and scalability lead to a new architecture. Web services allow service integration in a fast, effective way, as they are software component that are independent of implementation and platform.
Humans are capable of using the Web in order to carry out tasks such as finding information. However, these tasks cannot be accomplished by a computer, without human interference, since web pages are designed to be read by people. The goal of the Semantic Web is to make web content meaningful, so that data is suitable for automatic reasoning. This leads to the use of some descriptive data (meta-data) in machine readable form for automatic reasoning.
The Resource Description Framework (RDF) is a family of W3C specifications originally designed as a metadata data model. An extension of RDF is RDF Schema, which is a vocabulary for describing properties and classes of RDF-based resources, with semantics for generalized-hierarchies of such properties and classes.
Another semantic web tool is D2RQ, which is a declarative language for describing mappings between relational database schemata and OWL/RDFS ontologies.
Modern digital age requires more automated recommendation systems. It is essential that they may be able to filter out information not useful to the user, and be able to recommend something according to user's habits and patterns. The approach we are going to use is collaborative filtering. Collaborative filtering takes into account both active user's information and similar users' preferences. The goal is to find users with similar tastes to the active user and to provide recommendation based on the analysis of the preferences from those other users.
We will utilize the technologies discussed above, in order to develop a progressive application that will take advantage from them. We will also show the results of the system we have developed. How it finally works, what test users see, the collaborative filtering efficiency and efficacy, and whether it meets users' needs. As the results have shown, the system comes close to users' preferences. However, several improvements could be made to the system, which we will be discussed.
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A byzantine music framework using semantics and collaborative filtering recommendations
