International Journal" Information Theories & Applications" Vol. 15/2008 400 (original) (raw)

Logic Based Pattern Recognition - Ontology Content (2) 1

2008

, where he specialized in expert systems for information retrieval. In 1984 he joined Ben-Gurion University, where he founded the Information Systems Program and later on founded and headed the Dept. of Information Systems Engineering. Prior to moving to academia, Shoval held professional and managerial positions in computer and software companies. Shoval's research interests include information systems analysis and design methods, data modeling, and information retrieval and filtering.

LOGIC BASED PATTERN RECOGNITION - ONTOLOGY CONTENT (1) 1

2007

Pattern recognition (classification) algorithmic models and related structures were considered and discussed since 70s: -one, which is formally related to the similarity treatment and so -to the discrete isoperimetric property, and the second, -logic based and introduced in terms of Reduced Disjunctive Normal Forms of Boolean Functions. A series of properties of structures appearing in Logical Models are listed and interpreted. This brings new knowledge on formalisms and ontology when a logic based hypothesis is the model base for Pattern Recognition (classification).

Ontology Engineering Group, Departamento de Inteligencia Artificial

2010

Abstract. Information coming from sensor networks is being increasingly used in a variety of systems (decision support systems, information portals, etc), normally combined with information coming from more traditional sources (e.g., relational databases, web documents, etc). However, existing ontologybased information integration approaches cannot be easily used for this combination task since they are mainly focused on the integration of information coming from these traditional sources, and do not support sensor network data. In this paper we make a first step towards enabling the inclusion of sensor network data into these integration approaches, with the automatic generation of data wrapping ontologies for sensor networks. Our approach extends existing ones used for extracting data wrapping ontologies from relational databases, using the schema of sensor network queries and external ontology search and relation discovery services.

Ontology in information security

Proceedings of the 2001 workshop on New security paradigms - NSPW '01, 2001

The paper introduces and advocates an ontological semantic approach to information security. Both the approach and its resources, the ontology and lexicons, are borrowed from the field of natural language processing and adjusted to the needs of the new domain. The approach pursues the ultimate dual goals of inclusion of natural language data sources as an integral part of the overall data sources in information security applications, and formal specification of the information security community know-how for the support of routine and time-efficient measures to prevent and counteract computer attacks. As the first order of the day, the approach is seen by the information security community as a powerful means to organize and unify the terminology and nomenclature of the field.

Formal Ontology and Information Systems

1998

Research on ontology is becoming increasingly widespread in the computer science community, and its importance is being recognized in a multiplicity of research fields and application areas, including knowledge engineering, database design and integration, information retrieval and extraction. We shall use the generic term "information systems", in its broadest sense, to collectively refer to these application perspectives. We argue in this paper that so-called ontologies present their own methodological and architectural peculiarities: on the methodological side, their main peculiarity is the adoption of a highly interdisciplinary approach, while on the architectural side the most interesting aspect is the centrality of the role they can play in an information system, leading to the perspective of ontology-driven information systems.

Ontology-Driven Information Systems: Past, Present and Future

Proceedings of the 2008 Conference on Formal Ontology in Information Systems Proceedings of the Fifth International Conference, 2008

FAIA covers all aspects of theoretical and applied artificial intelligence research in the form of monographs, doctoral dissertations, textbooks, handbooks and proceedings volumes. The FAIA series contains several sub-series, including "Information Modelling and Knowledge Bases" and "Knowledge-Based Intelligent Engineering Systems". It also includes the biennial ECAI, the European Conference on Artificial Intelligence, proceedings volumes, and other ECCAI-the European Coordinating Committee on Artificial Intelligence-sponsored publications. An editorial panel of internationally well-known scholars is appointed to provide a high quality selection.