An Adaptive Learning Ontological Framework Based on Learning Styles and Teaching Strategies

Ontology are increasingly being used in a variety of applications, and particularly in adaptive e-learning. They have the potential to enable developers to create adaptive course content for specified domains. E-learning applications are thus able to use technology and educational content in order to generate content that matches the student's capabilities and knowledge. This personalises learning, rather than assuming that "one-size-fits-all" and providing all learners with the same content, which is what the majority of e-learning systems do. This study introduces a new approach that takes into account the fact that each learner has an individual learning style and needs. The approach enables to adapt the course content, teaching strategy and learning objects so that they correspond to each student’s learning styles. This is achieved with the use of artificial intelligent in the form of an ontology and rule-based reasoning. The proposed system takes some of the key design aspects such as extensibility, reusability, and maintainability into consideration in order to enhance performance of adaptive course content recommendation

Analysis, design and implementation of a web database with Oracle 8i

This thesis represents a model of web-database analysis, design and implementation. An electronic bulletin board for the Naval Postgraduate School is implemented for demonstration. The model includes Oracle8i DBMS as the database, Java (Java Server Pages, Java Script Enterprise Java Beans, Java Servlets) as the programming language. Apache HTTP Server v.1.3 Tomcat v.1.2 is used as the Web server and JSP engine. Windows NT4.O served as the OS environment From the technical aspect, Database Management Systems, Web-Database Architectures, Server Extension Programs, Oracle8i as well as several other software and hardware components are reviewed, and some are recommended.http://archive.org/details/analysisdesignnd109451081

Language thought and literal meaning

PhD ThesisThe notion of literalness in linguistics is based on the following assumptions: Linguistic expressions are vehicle-meaning p airs (since literal meaning has to be the meaning of something). Linguistic expressions have to be cognised a nd used (especially uttered) in order for their meanings to be regarded as literally theirs. "Linguistie, vehicle-meaning relations are fixed and autonomous- - rather than having particular meanings in virtue of being used to express those meanings," linguistie' vehicle-meaning p airs are used to express certain meanings in virtue of having the meanings th at they have. This thesis criticises Chomsky's and Sperber and Wilson's attempts to establish the autonomy of "linguistie'vehicle-meaning pairs. I argue that " Both Chomsky and Sperber and Wilson fail to distinguish "linguistie' semantics from the "real" semantics of what "linguistic" vehicle-meaning pairs are used to express. " They persist in the idea that "linguistic" vehicles are specifically for being uttered (physically instantiated), thus defeating their own purpose of setting the linguistic absolutely apart from what it is used for. " Neither Chomsky's internalist conception of language nor Sperber and Wilson's relevance framework is able to account for the phenomenon of "language misuse", i.e. the use of a "linguistic" vehicle to express the "wrong" meaning. Burton-Roberts' representational conjecture is applied and developed in the presentation of an alternative non/ extra-linguistic account of "literal meaning" and "language use/ misuse". This account has it that neither "linguistic" vehicles nor "linguistic" vehicle-meaning relations are actually linguistic. It avoids the problems attending the notion of linguistic expressions as objects with sortally disjoint and arbitrarily conjoint properties (i.e. physically instantiable "vehicle" and mentally constituted "meaning"), and resolves the unease within Chomsky's Minimalist Program about the inclusion of phonology in I-language. Finally, by way of this resolution, I address some seemingly unrelated issues concerning vehicle-less "meanings" and the relations between l anguage,thought and consciousness

CRC806-Database: A semantic e-Science infrastructure for an interdisciplinary research centre

Well designed information infrastructure improves the conduct of research, and can connect researchers and projects across disciplines to facilitate collaboration. The topic of this thesis is the design and development of an information infrastructure for a large interdisciplinary research project, the DFG-funded Collaborative Research Centre 806 (CRC 806). Under the name CRC806-Database the presented infrastructure was developed in the frame of the subproject "Z2: Data Management and Data Services", a so-called INF project, which is responsible for the research data management within a DFG funded CRC. During the design, development and implementation of the CRC806-Database, the complex requirements for sound data management in the context of a large interdisciplinary research project were considered theoretically, as well as practically during the implementation. The presented infrastructure design is mainly based on the requirements for research data management in CRC's, that is mainly the secure storage of primary research data for at least ten years, as well as on the further recommendations, that are about support and improvement of research and facilitation of Web-based collaboration, for information infrastructure by the DFG. The CRC806-Database semantic e-Science infrastructure consists of three main components, i.) the CRC806-RDM component that implements the research data management, including a data catalog and a publication database, ii.) the CRC806-SDI component that provides a Spatial Data Infrastructure (SDI) for Web-based management of spatial data, and additionally, iii.) the CRC806-KB component that implements a collaborative virtual research environment and knowledgebase. From a technical perspective, the infrastructure is based on the application of existing Open Source Software (OSS) solutions, that were customized to adapt to the specific requirements were necessary. The main OSS products that were applied for the development of the CRC806-Database are; Typo3, CKAN, GeoNode and Semantic MediaWiki. As integrative technical and theoretical basis of the infrastructure, the concept of Semantic e-Science was implemented. The term e-Science refers to a scientific paradigm that describes computationally intensive science carried out in networked environments. The prefix "Semantic" extends this concept with the application of Semantic Web technologies. A further applied conceptual basis for the development of CRC806-Database, is known under the name "Open Science", that includes the concepts of "Open Access", "Open Data" and "Open Methodology". These concepts have been implemented for the CRC806-Database semantic e-Science infrastructure, as described in the course of this thesis

Information resources management, 1984-1989: A bibliography with indexes

This bibliography contains 768 annotated references to reports and journal articles entered into the NASA scientific and technical information database 1984 to 1989

Social work with airports passengers

Social work at the airport is in to offer to passengers social services. The main methodological position is that people are under stress, which characterized by a particular set of characteristics in appearance and behavior. In such circumstances passenger attracts in his actions some attention. Only person whom he trusts can help him with the documents or psychologically

Yavaa: supporting data workflows from discovery to visualization

Recent years have witness an increasing number of data silos being opened up both within organizations and to the general public: Scientists publish their raw data as supplements to articles or even standalone artifacts to enable others to verify and extend their work. Governments pass laws to open up formerly protected data treasures to improve accountability and transparency as well as to enable new business ideas based on this public good. Even companies share structured information about their products and services to advertise their use and thus increase revenue. Exploiting this wealth of information holds many challenges for users, though. Oftentimes data is provided as tables whose sheer endless rows of daunting numbers are barely accessible. InfoVis can mitigate this gap. However, offered visualization options are generally very limited and next to no support is given in applying any of them. The same holds true for data wrangling. Only very few options to adjust the data to the current needs and barely any protection are in place to prevent even the most obvious mistakes. When it comes to data from multiple providers, the situation gets even bleaker. Only recently tools emerged to search for datasets across institutional borders reasonably. Easy-to-use ways to combine these datasets are still missing, though. Finally, results generally lack proper documentation of their provenance. So even the most compelling visualizations can be called into question when their coming about remains unclear. The foundations for a vivid exchange and exploitation of open data are set, but the barrier of entry remains relatively high, especially for non-expert users. This thesis aims to lower that barrier by providing tools and assistance, reducing the amount of prior experience and skills required. It covers the whole workflow ranging from identifying proper datasets, over possible transformations, up until the export of the result in the form of suitable visualizations