Heritage is an important part of the international tourism market. As with any resource, sustainable management practices are required to maintain the long-term value of heritage assets. It is claimed that sustainable heritage tourism provides quality experiences for the tourists while protecting the environment and improving the quality of life for local residents. Yet, irrespective of how tou...

In this paper, we present a generic Optical Character Recognition system for Arabic script languages called Nabocr. Nabocr uses OCR approaches specific for Arabic script recognition. Performing recognition on Arabic script text is relatively more difficult than Latin text due to the nature of Arabic script, which is cursive and context sensitive. Moreover, Arabic script has different writing st...

As more and more Arabic textual information becomes available through the Web in homes and businesses, via Internet and Intranet services, there is an urgent need for technologies and tools to process the relevant information. Named Entity Recognition (NER) is an Information Extraction task that has become an integral part of many other Natural Language Processing (NLP) tasks, such as Machine T...

Present virtual heritage projects are mostly focused either on ‘process’ or ‘product’ but rarely consider ‘user’ (end user’s perception of the content) with project contents predominantly developed with an ‘ocular-centric’ tendency. There is no signifi cant interpretation method or principles for interpreting digital heritage unlike other disciplines such as archaeology. This paper argues that,...

This paper explores how traditional narrative language used in film and theatre can be adapted to create interactivity and a greater sense of presence in the virtual heritage environment. It focuses on the fundamental principles of narrative required to create immersion and presence and investigates methods of embedding intangible social histories into these environments. These issues are explo...

This paper presents a novel holistic technique for classifying and retrieving Arabic handwritten text documents. The retrieval of Arabic handwritten documents is performed in several steps. First, the Arabic handwritten document images are segmented into words, and then each word is segmented into its connected parts. Second, several features are extracted from these connected parts and then co...

This study investigates how the younger generation conceptualise cultural tourism attractions associated with modern history in contemporary South Korea. Particular attention in this study is given to heritage attractions built in the Japanese colonising past. By analysing data obtained through a Multiple Sorting Procedure, this study identifies the underlying facets of heritage attractions the...

The rise in Arabic usage within various social media platforms, and notably in Twitter, has led to a growing interest in building Arabic Natural Language Processing (NLP) applications capable of dealing with informal colloquial Arabic, as it is the most commonly used form of Arabic in social media. The unique characteristics of the Arabic language make the extraction of Arabic named entities a ...

In this paper, we present recognition of handwritten characters of Arabic script. Arabic is now the 6 most spoken language in the world and is spoken by more than 200 million people worldwide. The 7 Century A.D., Arabic started to spread to the Middle East as many people started to convert to Islam. During this time of religious conversions, Arabic replaced many South Arabian languages, most of...

In this paper, Arabic was investigated from the speech recognition problem point of view. We propose a novel approach to build an Arabic automated speech recognition system using Arabic environment. The system, based on the open source CMU Sphinx-4, was trained using Arabic characters.