Knowledge management: the issue of multimedia contents

Knowledge Management is a very important topic in business and in academy research. There are many fields of applications for knowledge management, including cognitive science, sociology, management science, information science, knowledge engineering, artificial intelligence, and economics. Many studies on different aspects of Knowledge Management have been published, becoming common in the early 1990s. In this work, we want to represent Knowledge through a mixed-iterative approach, where top-down and bottom-up analyses of the knowledge domain which has to be represented are applied: these are typical approaches for this kind of problems. In this case, they are applied following an iterative approach which allows, through further refinements, for the efficient formalization able to represent the domain's knowledge of interest. We start from the concept of the “domain knowledge base”. The fundamental body of knowledge available on a domain is the knowledge valuable for the knowledge users. We need to represent and manage this knowledge, to define a formalization and codification of the knowledge in the domain. After this formalization we can manage this knowledge using knowledge repositories. In this thesis, we present four different formalization and management of knowledge for multimedia contents, using our proposed approach: 1. User Generated Contents from famous platform (Flickr, YouTube, etc.); 2. audio recordings regarding linguistic corpus and information added to that corpus with annotations; 3. knowledge associated with construction processes; 4. descriptions and reviews of Italian wines. The most important result we achieved with this thesis was the opportunity to make this disparaged knowledge available and manageable. In the current market, exploiting existing knowledge is a mainstream business, but in order to exploit it, one must be able to manage it first. As a token of this importance, not only about ten scientific publications, but most of all a number of industrial research projects, in partnership with ICT companies – one of which with a total value above one million Euros – stemmed from the studies discussed in this thesis

Knowledge management: the issue of multimedia contents

Knowledge Management is a very important topic in business and in academy research. There are many fields of applications for knowledge management, including cognitive science, sociology, management science, information science, knowledge engineering, artificial intelligence, and economics. Many studies on different aspects of Knowledge Management have been published, becoming common in the early 1990s. In this work, we want to represent Knowledge through a mixed-iterative approach, where top-down and bottom-up analyses of the knowledge domain which has to be represented are applied: these are typical approaches for this kind of problems. In this case, they are applied following an iterative approach which allows, through further refinements, for the efficient formalization able to represent the domain's knowledge of interest. We start from the concept of the “domain knowledge base”. The fundamental body of knowledge available on a domain is the knowledge valuable for the knowledge users. We need to represent and manage this knowledge, to define a formalization and codification of the knowledge in the domain. After this formalization we can manage this knowledge using knowledge repositories. In this thesis, we present four different formalization and management of knowledge for multimedia contents, using our proposed approach: 1. User Generated Contents from famous platform (Flickr, YouTube, etc.); 2. audio recordings regarding linguistic corpus and information added to that corpus with annotations; 3. knowledge associated with construction processes; 4. descriptions and reviews of Italian wines. The most important result we achieved with this thesis was the opportunity to make this disparaged knowledge available and manageable. In the current market, exploiting existing knowledge is a mainstream business, but in order to exploit it, one must be able to manage it first. As a token of this importance, not only about ten scientific publications, but most of all a number of industrial research projects, in partnership with ICT companies – one of which with a total value above one million Euros – stemmed from the studies discussed in this thesis

APPROACH TO MANAGE SEMANTIC INFORMATIONS FROM UGC

The purpose of this work is to face the issue of classification variety and non-homogeneity, especially in Web 2.0, for User Generated Content coming from popular digital platforms. The solution offered to this problem is an approach based on an ontology that can represent information, typically associated with UGCs, integrated with a unique mapping technique amongst ontology contents and UGCs contents coming from other platforms. Regarding standard information and information shared by many of these objects, existing relations are exploited through mapping, when possible; otherwise new ones are created when it is deemed necessary. Such an ontology can represent, as embedded information, folksonomies and all non- standard information. That kind of information, despite being unclassifiable by means of standard schemas like the UGC ones, can be mapped. Rather than representing all properties of digital content, we were concerned with having an ontology that could associate semantic value to every tag, standard and not