Representing image captions as concept graphs using semantic information

Conceptual interpretation of languages has gathered peak interest in the world of artificial intelligence. The challenge in modeling various complications involved in a language is the main motivation behind our work. Our main focus in this work is to develop conceptual graphical representation for image captions. We have used discourse representation structure to gain semantic information which is further modeled into a graphical structure. The effectiveness of the model is evaluated by a caption based image retrieval system. The image retrieval is performed by computing subgraph based similarity measures. Best retrievals were given an average rating of . ± . out of 4 by a group of 25 human judges. The experiments were performed on a subset of the SBU Captioned Photo Dataset. This purpose of this work is to establish the cognitive sensibility of the approach to caption representations

Representing image captions as concept graphs using semantic information

Conceptual interpretation of languages has gathered peak interest in the world of artificial intelligence. The challenge in modeling various complications involved in a language is the main motivation behind our work. Our main focus in this work is to develop conceptual graphical representation for image captions. We have used discourse representation structure to gain semantic information which is further modeled into a graphical structure. The effectiveness of the model is evaluated by a caption based image retrieval system. The image retrieval is performed by computing subgraph based similarity measures. Best retrievals were given an average rating of . ± . out of 4 by a group of 25 human judges. The experiments were performed on a subset of the SBU Captioned Photo Dataset. This purpose of this work is to establish the cognitive sensibility of the approach to caption representations.

Os museus e o património cultural imaterial: Estratégias para o desenvolvimento de boa práticas

omando como referência fundamental o trabalho desenvolvido pela UNESCO em matéria de proteção do Património Cultural Imaterial (PCI), muito particularmente a Convenção para a Salvaguarda do Património Cultural Imaterial (2003), considerou-se oportuno refletir sobre as implicações que este enfoque traz para os museus. São indiscutíveis as repercussões que este instrumento trouxe para o reconhecimento da importância do PCI à escala internacional, motivando um crescendo de iniciativas em tomo da sua salvaguarda. São vários os agentes envolvidos na preservação deste património, no entanto o International Council of Museums (ICOM) reconhece um papel central aos museus nesta matéria. Mas para responder a este repto, os museus terão que repensar as suas estratégias de forma a relacionar-se mais com o PCI, contrariando uma longa tradição profundamente enraizada na cultura material. O presente estudo reflete sobre as possibilidades de actuação dos museus no sentido de dar resposta aos desafios da Convenção 2003, sendo certo que a partir das catividades dos museus é possível encontrar formas de estudar e de dar visibilidade a este património. Em função das especificidades de cada museu, podem ser encontradas estratégias de salvaguarda do PCI, entre as quais se pode incluir o inventário e a documentação (audiovisual, texto, áudio, imagem), a investigação, a divulgação através de exposições e publicações, difusão através da internet, educação não formal, entre outras actividades. Alguns museus começaram já a desenvolver abordagens integradas para a salvaguarda do PCI, cujos exemplos se apresentam. Este tema suscita vários desafios, implicando práticas museológicas inovadoras que possam reflectir o papel dos museus como promotores da diversidade e criatividade cultural. ABSTRACT: Recalling the UNESCO's work towards the protection of Intangible Cultural Heritage (ICH), in particular the Convention for the Safeguarding of the Intangible Cultural Heritage adopted in 2003, I took this opportunity to reflect upon the implications that this recognition brings to museums. The overwhelming success of this document has raised the importance of ICH at international level, motivating a growing number of initiatives towards its safeguard. Accordingly, to the 2003 Convention, there are many agents involved in the preservation of this heritage, yet the International Council of Museums (ICOM) recognizes a central role for museums. Nevertheless, to face this challenge, museums will have to rethink their relationship with ICH in opposition to their deep rooted tradition in material culture. The present study reflects upon the possibilities that museums have to answer the changeling 2003 Convention, recognizing that it’s possible through museum activities to find ways to study and give visibility to ICH. According to each museum specificities, it seems clear that strategies can be engaged in order to promote the safeguard of ICH, including inventory and documentation (audiovisual, audio, text and image), research, promotion through exhibitions, publications, dissemination trough internet and other means, informal education, among other activities. Many museums have already started exploring integrated approaches towards the safeguard of ICH and some of these examples are presented in this study. This theme is challenging, implying innovative museum practices which reflect on museums role towards the promotion of cultural diversity and creativity.

Chest Breadths to Predict Individuals' Age - A Case Based View

It is well known that rib cage dimensions depend on the gender and vary with the age of the individual. Under this setting it is therefore possible to assume that a computational approach to the problem may be thought out and, consequently, this work will focus on the development of an Artificial Intelligence grounded decision support system to predict individual’s age, based on such measurements. On the one hand, using some basic image processing techniques it were extracted such descriptions from chest X-rays (i.e., its maximum width and height). On the other hand, the computational framework was built on top of a Logic Programming Case Base approach to knowledge representation and reasoning, which caters for the handling of incomplete, unknown, or even contradictory information. Furthermore, clustering methods based on similarity analysis among cases were used to distinguish and aggregate collections of historical data in order to reduce the search space, therefore enhancing the cases retrieval and the overall computational process. The accuracy of the proposed model is satisfactory, close to 90%.