Integration with Ontologies

One of today’s hottest IT topics is integration, as bringing together information from different sources and structures is not completely solved. The approach outlined here wants to illustrate how ontologies [Gr93] could help to support the integration process

Topic Map Generation Using Text Mining

Starting from text corpus analysis with linguistic and statistical analysis algorithms, an infrastructure for text mining is described which uses collocation analysis as a central tool. This text mining method may be applied to different domains as well as languages. Some examples taken form large reference databases motivate the applicability to knowledge management using declarative standards of information structuring and description. The ISO/IEC Topic Map standard is introduced as a candidate for rich metadata description of information resources and it is shown how text mining can be used for automatic topic map generation

Research on speech understanding and related areas at SRI

Research capabilities on speech understanding, speech recognition, and voice control are described. Research activities and the activities which involve text input rather than speech are discussed

Analysing change in international politics: a semiotic method of structural connotation

Processes such as internationalisation and privatisation bring along new challenges both for the conceptualisation and for the measurement of transformations of the state. This paper outlines a semiotic Method of Structural Connotation, which combines content- and network analysis, thus to model change in international politics. After an investigation of the methodical and epistemological chances and pitfalls a 5-step-toolbox is presented and illustrated with a current application: The Bologna-Process for a European Higher Education Area. -- Angesichts neuerer Entwicklungen wie Internationalisierung und Privatisierung stellen sich auch neue Herausforderungen für die Konzeptualisierung und Messung von Staatlichkeit im Wandel. In diesem Arbeitspapier wird eine semiotische Methode Struktureller Konnotation vorgestellt, die inhaltsanalytische und netzwerkanalytische Elemente zusammenführt, um den Wandel internationaler politischer Prozesse und Akteursfigurationen zu erfassen. Nach einer Betrachtung der methodischen und epistemologischen Herausforderungen und Chancen folgt ein konkreter Verfahrensvorschlag nach dem Baukastenprinzip. Am Beispiel des Bologna-Prozesses für einen Europäischen Hochschulraum wird das methodische Vorgehen Schritt für Schritt erläutert.

Perspectives in deductive databases

AbstractI discuss my experiences, some of the work that I have done, and related work that influenced me, concerning deductive databases, over the last 30 years. I divide this time period into three roughly equal parts: 1957–1968, 1969–1978, 1979–present. For the first I describe how my interest started in deductive databases in 1957, at a time when the field of databases did not even exist. I describe work in the beginning years, leading to the start of deductive databases about 1968 with the work of Cordell Green and Bertram Raphael. The second period saw a great deal of work in theorem providing as well as the introduction of logic programming. The existence and importance of deductive databases as a formal and viable discipline received its impetus at a workshop held in Toulouse, France, in 1977, which culminated in the book Logic and Data Bases. The relationship of deductive databases and logic programming was recognized at that time. During the third period we have seen formal theories of databases come about as an outgrowth of that work, and the recognition that artificial intelligence and deductive databases are closely related, at least through the so-called expert database systems. I expect that the relationships between techniques from formal logic, databases, logic programming, and artificial intelligence will continue to be explored and the field of deductive databases will become a more prominent area of computer science in coming years

A Framework for the Organization and Discovery of Information Resources in a WWW Environment Using Association, Classification and Deduction

The Semantic Web is envisioned as a next-generation WWW environment in which information is given well-defined meaning. Although the standards for the Semantic Web are being established, it is as yet unclear how the Semantic Web will allow information resources to be effectively organized and discovered in an automated fashion. This dissertation research explores the organization and discovery of resources for the Semantic Web. It assumes that resources on the Semantic Web will be retrieved based on metadata and ontologies that will provide an effective basis for automated deduction. An integrated deduction system based on the Resource Description Framework (RDF), the DARPA Agent Markup Language (DAML) and description logic (DL) was built. A case study was conducted to study the system effectiveness in retrieving resources in a large Web resource collection. The results showed that deduction has an overall positive impact on the retrieval of the collection over the defined queries. The greatest positive impact occurred when precision was perfect with no decrease in recall. The sensitivity analysis was conducted over properties of resources, subject categories, query expressions and relevance judgment in observing their relationships with the retrieval performance. The results highlight both the potentials and various issues in applying deduction over metadata and ontologies. Further investigation will be required for additional improvement. The factors that can contribute to degraded performance were identified and addressed. Some guidelines were developed based on the lessons learned from the case study for the development of Semantic Web data and systems

On the Representation and Use of Semantic Categories: A Survey and Prospectus

This report describes research conducted at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the Laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency of the Department of Defense under Office of Naval Research contract number N00014-75-C-0643.This paper is intended as a brief introduction to several issues concerning semantic categories. These are the everyday, factual groupings of world knowledge according to some similarity in characteristics. Some psychological data concerning the structure, formation, and use of categories is surveyed. Then several psychological models (set-theoretic and network) are considered. Various artificial intelligence representations (concerning the symbol mapping and recognition problems) dealing with similar issues are also reviewed. It is argued that these data and representations approach semantic categories at too abstract a level and a set of guidelines which may be helpful in constructing a microworld are given.MIT Artificial Intelligence Laboratory Department of Defense Advanced Research Projects Agenc

Design and Construction of Semantic Document Networks Using Concept Extraction

Processing of unstructured documents according to their content is required in many disciplines; e.g., machine translation, text analysis and mining, and information extraction and retrieval. Whilst research in fields like text analysis, conceptualisation, or design of semantic networks progressed crucially over the last years, we still observe gaps between state-of-the-art algorithms to extract concepts from documents and how these concepts are linked effective and efficiently. This paper proposes a framework to store processed documents in a specialised semantic network database to enhance retrieval and analysis of common concepts in documents. We apply natural language reduction to calculate semantic cores for the concept-based indexing of stored documents. The developed prototype demonstrates an advanced document storage as well as a fast (semantical) retrieval of documents based on given key concepts