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Articles 1 - 8 of 8
Full-Text Articles in Physical Sciences and Mathematics
Supporting Complex Thematic, Spatial And Temporal Queries Over Semantic Web Data, Matthew Perry, Amit P. Sheth, Farshad Hakimpour, Prateek Jain
Supporting Complex Thematic, Spatial And Temporal Queries Over Semantic Web Data, Matthew Perry, Amit P. Sheth, Farshad Hakimpour, Prateek Jain
Kno.e.sis Publications
Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. Often, the analytical process requires uncovering and analyzing complex thematic relationships between disparate people, places and events. Fundamentally new query operators based on the graph structure of Semantic Web data models, such as semantic associations, are proving useful for this purpose. However, these analysis mechanisms are primarily intended for thematic relationships. In this paper, we describe a framework built around the RDF metadata model for analysis of thematic, spatial and temporal relationships between named entities. We …
Ontology-Enriched Semantic Space For Video Search, Xiao-Yong Wei, Chong-Wah Ngo
Ontology-Enriched Semantic Space For Video Search, Xiao-Yong Wei, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Multimedia-based ontology construction and reasoning have recently been recognized as two important issues in video search, particularly for bridging semantic gap. The lack of coincidence between low-level features and user expectation makes concept-based ontology reasoning an attractive midlevel framework for interpreting high-level semantics. In this paper, we propose a novel model, namely ontology-enriched semantic space (OSS), to provide a computable platform for modeling and reasoning concepts in a linear space. OSS enlightens the possibility of answering conceptual questions such as a high coverage of semantic space with minimal set of concepts, and the set of concepts to be developed for …
Alternative Paths To Intelligent Systems, Jens G. Pohl
Alternative Paths To Intelligent Systems, Jens G. Pohl
Collaborative Agent Design (CAD) Research Center
This paper examines the three prevalent approaches to Artificial Intelligence (AI), namely symbolic reasoning systems, connectionist systems, and emergent systems based on the principles of the subsumption theory. Distinguished by their top-down and bottom-up mechanisms all three approaches have strengths and weaknesses. While the logical reasoning approach is precise and well supported by mathematical theories and procedures, it is constrained by a largely predefined representational model. Connectionist systems, on the other hand, are able to recognize patterns even if these patterns are only similar and not identical to the patterns that they have been trained to recognize, but they have …
Knowledge Management Enterprise Services (Kmes): Concepts And Implementation Principles, Jens G. Pohl
Knowledge Management Enterprise Services (Kmes): Concepts And Implementation Principles, Jens G. Pohl
Collaborative Agent Design (CAD) Research Center
The purpose of this paper is to present concepts and implementation principles related to the design and development of reusable software services that are capable of assisting users at the operational level. Knowledge Management Enterprise Services (KMES) are an implementation of the service-oriented architecture paradigm, with a focus on the exchange of data within the meaningful context of a particular application (i.e., knowledge) domain. This requires a KMES service to incorporate a high level representation of this knowledge domain in the form of an ontology that is shared among all collaborating services within the application environment and at the same …
An Open Approach To Contextualising Heterogeneous Cultural Heritage Datasets, John Mcauley, James Carswell
An Open Approach To Contextualising Heterogeneous Cultural Heritage Datasets, John Mcauley, James Carswell
Conference papers
This paper describes a semantic museum application, which aims to present a holistic impression of the Etruscan civilisation. Through the use of a distributed computing paradigm and the CIDOC CRM ontology, the system presents a unified view of a fragmented heritage, while supporting browse and search at a semantic level. Within the cultural heritage world, however, much value is placed on ‘context’, both in describing and presenting heritage artefacts. From this perspective, a platform built upon the distributed search paradigm, although useful in many respects, does not convey how an artefact sits within a broader setting. Narrative concepts are proposed …
Ontology Development For Context-Sensitive Decision Support, Shah Jahan Miah
Ontology Development For Context-Sensitive Decision Support, Shah Jahan Miah
Dr Shah Jahan Miah
Semantics have become acceptable techniques for data integration, data interoperability and data visualization in many software engineering domains and web developments over the past few years. This paper describes a software development where semantic ontology techniques have been used for developing a generic knowledge model applicable across rural industries. This technique enables us to outline a single access point for building end-user specific knowledge based systems. We have called the new solution prototype an End-User Enabled Design Environment (EUEDE) where the knowledge components from the problem ontology is used in building specific decision systems that are contextsensitive to end-user factors. …
What, Where And When: Supporting Semantic, Spatial And Temporal Queries In A Dbms, Matthew Perry, Amit P. Sheth, Farshad Hakimpour, Prateek Jain
What, Where And When: Supporting Semantic, Spatial And Temporal Queries In A Dbms, Matthew Perry, Amit P. Sheth, Farshad Hakimpour, Prateek Jain
Kno.e.sis Publications
Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. The outcome of the analytical process in these applications often hinges on uncovering and analyzing complex relationships between disparate people, places and events. Fundamentally new query operators based on the graph structure of Semantic Web data models, such as semantic associations, are proving useful in these applications. However, these analysis mechanisms are primarily intended for thematic relationships. We describe a framework built around the RDF metadata model for analysis of thematic, spatial and temporal relationships between …
Filling The Ontology Space For Coalition Battle Management Language, Charles Turnitsa, Curtis Blais, Andreas Tolk
Filling The Ontology Space For Coalition Battle Management Language, Charles Turnitsa, Curtis Blais, Andreas Tolk
Computational Modeling & Simulation Engineering Faculty Publications
The Coalition Battle Management Language is a language for representing and exchanging plans, orders, and reports across live, constructive and robotic forces in multi-service, multi-national and multi-organizational operations. Standardization efforts in the Simulation Interoperability Standards Organization seek to define this language through three parallel activities: (1) specify a sufficient data model to unambiguously define a set of orders using the Joint Command, Control, and Consultation Information Exchange Data Model (JC3IEDM) as a starting point; (2) develop a formal grammar (lexicon and production rules) to formalize the definition of orders, requests, and reports; (3) develop a formal battle management ontology to …