26 research outputs found

    Text-based Semantic Annotation Service for Multimedia Content in the Esperonto project

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    Within the Esperonto project, an integration of NLP, ontologies and other knowledge bases, is being performed with the goal to implement a semantic annotation service that upgrades the actual Web towards the emerging Semantic Web. Research is being currently conducted on how to apply the Esperonto semantic annotation service to text material associated with still images in web pages. In doing so, the project will allow for semantic querying of still images in the web, but also (automatically) create a large set of text-based semantic annotations of still images, which can be used by the Multimedia community in order to support the task of content indexing of image material, possibly combining the Esperonto type of annotations with the annotations resulting from image analysis

    An Analysis of Using Expert Systems and Intelligent Agents for the Virtual Library Project at the Naval Surface Warfare Center-Carderock Division

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    The Virtual Library Project1 at the Naval Surface Warfare Center/Carderock Division (NSWC/CD) is being developed to facilitate the incorporation and use of library documents via the Internet. These documents typically relate to the design and manufacture of ships for the U.S. Navy Fleet. As such, the libraries will store documents that contain not only text but also images, graphs and design configurations. Because of the dynamic nature of digital documents, particularly those related to design, rapid and effective cataloging of these documents becomes challenging. We conducted a research study to analyze the use of expert systems and intelligent agents to support the function of cataloging digital documents. This chapter provides an overview of past research in the use of expert systems and intelligent agents for cataloging digital documents and discusses our recommendations based on NSWC/CD’s requirements

    Desirable Ontologies for the Construction of Semantic Applications

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    The intended goal of semantic web is to provide the search results to the user with at most accuracy and good precision. To make possible, the object of semantic web is to add semantics to the existing information on the Web using semantic web languages. These web languages have been to express detail information of the content present on the web with help of Ontologies. Ontology is expressed in a knowledge representation language, which provides a formal frame of semantics. Therefore we provide a brief explanation of semantic web languages in which some of them uses description logic and frames as basis. These semantic languages used in construction and understanding of ontologies clearly. The goal of this paper is to provide a brief survey of state-of-the-art ontology languages which are used to express ontology over the Web, a basic understanding of ontologies and how the ontologies are constructed

    Towards the new generation of web knowledge

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    Purpose - As the web evolves its purpose and nature of its use are changing. The purpose of the paper is to investigate whether the web can provide for the competing stakeholders, who are similarly evolving and who increasingly see it as a significant part of their business. Design/methodology/approach - The paper adopts an exploratory and reviewing approach to the emerging trends and patterns emanating from the web's changing use and explores the underpinning technologies and tools that facilitate this use and access. It examines the future and potential of web-based knowledge management (KM) and reviews the emerging web trends, tools, and enabling technologies that will provide the infrastructure of the next generation web. Findings - The research carried out provides an independent framework for the capturing, accessing and distributing of web knowledge. This framework retains the semantic mark-up, a feature that we deem indispensable for the future of KM, employing web ontologies to structure organisational knowledge and semantic text processing for the extraction of knowledge from web sites. Practical implications - As a result it was possible to identify the implications of integrating the two aspects of web-based KM, namely the business-organisational-users' perspective and that of the enabling web technologies. Originality/value - The proposed framework accommodates the collaborative tools and services offered by Web 2.0, acknowledging the fact that knowledge-based systems are shared, dynamic, evolving resources, whose underlying knowledge model requires careful management due to its constant changing

    A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains.

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    In recent years, information integration systems have become very popular in mashup-type applications. Information sources are normally presented in an individual and unrelated fashion, and the development of new technologies to reduce the negative effects of information dispersion is needed. A major challenge is the integration and implementation of processing pipelines using different technologies promoting the emergence of advanced architectures capable of processing such a number of diverse sources. This paper describes a semantic domain-adaptable platform to integrate those sources and provide high-level functionalities, such as recommendations, shallow and deep natural language processing, text enrichment, and ontology standardization. Our proposed intelligent domain-adaptable platform (IDAP) has been implemented and tested in the tourism and biomedicine domains to demonstrate the adaptability, flexibility, modularity, and utility of the platform. Questionnaires, performance metrics, and A/B control groups’ evaluations have shown improvements when using IDAP in learning environmentspost-print2139 K

    Tradition and Technology: A Design-Based Prototype of an Online Ginan Semantization Tool

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    The heritage of ginans of the Nizari Ismaili community comprises over 1,000 individual hymn-like poems of varying lengths and languages. The ginans were originally composed to spread the teachings of the Satpanth Ismaili faith and served as scriptural texts that guided the normative understanding of the community in South Asia. The emotive melodies of the ginans continue to enchant the members of the community in the diaspora who do not necessarily understand the language of the ginans. The language of the ginans is mixed and borrows vocabulary from Indo-Aryan and Perso-Arabic dialects. With deliberate and purposeful use of information technology, the online tool blends the Western best practices of language learning with the traditional transmission methods and materials of the Ismaili community. This study is based on the premise that for the teachings of the ginans to survive in the Euro-American diaspora, the successive generations must learn and understand the vocabulary of the ginans. The process through which humans learn and master vocabulary is called semantization, which refers to the process of learning and understand various senses and uses of words in a language. To this end, a sample ginan corpus was chosen and semantically analyzed to develop an online ginan lexicon. This lexicon was then used to enrich ginan texts with online glosses to facilitate semantization of ginan vocabulary. The design based-research methodology for prototyping the tool comprised two design iterations of analysis, design, and review. In the first iteration, the initial design of the prototype was based on the multidisciplinary literature review and an in-depth semantic analysis of ginan materials. The initial design was then reviewed by community ginan experts and teachers to inform the next design iteration. In the second design iteration, the initial design was enhanced into a functional prototype by adding features based on the expert suggestions as well as the needs of community learners gathered by surveying a convenience sample of 515 community members across the globe. The analysis of the survey data revealed that over 90% of the survey participants preferred English materials for learning and understanding the language of the ginans. In addition, having online access to ginan materials was expressed as a dire need for the community to engage with the ginans. The development and dissemination of curriculum-based educational programs and supporting resources for the ginans emerged as the most urgent and unmet expectations of the community. The study also confirmed that the wide availability of an online ginan learning tool, such as the one designed in this study, is highly desirable by English-speaking community members who want to learn and understand the tradition and teachings of ginans. However, such a tool is only a part of the solution for fostering sustainable community engagement for the preservation of ginans. To ensure that the tradition is carried forward by the future generations with compassion and understanding, the community institutions must make ginans an educational priority and ensure educational resources for ginans are widely available to community members

    Semantic technologies: from niche to the mainstream of Web 3? A comprehensive framework for web Information modelling and semantic annotation

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    Context: Web information technologies developed and applied in the last decade have considerably changed the way web applications operate and have revolutionised information management and knowledge discovery. Social technologies, user-generated classification schemes and formal semantics have a far-reaching sphere of influence. They promote collective intelligence, support interoperability, enhance sustainability and instigate innovation. Contribution: The research carried out and consequent publications follow the various paradigms of semantic technologies, assess each approach, evaluate its efficiency, identify the challenges involved and propose a comprehensive framework for web information modelling and semantic annotation, which is the thesis’ original contribution to knowledge. The proposed framework assists web information modelling, facilitates semantic annotation and information retrieval, enables system interoperability and enhances information quality. Implications: Semantic technologies coupled with social media and end-user involvement can instigate innovative influence with wide organisational implications that can benefit a considerable range of industries. The scalable and sustainable business models of social computing and the collective intelligence of organisational social media can be resourcefully paired with internal research and knowledge from interoperable information repositories, back-end databases and legacy systems. Semantified information assets can free human resources so that they can be used to better serve business development, support innovation and increase productivity
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