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Articles 1 - 11 of 11
Full-Text Articles in Physical Sciences and Mathematics
Selection Of Concept Detectors For Video Search By Ontology-Enriched Semantic Spaces, Xiao-Yong Wei, Chong-Wah Ngo, Yu-Gang Jiang
Selection Of Concept Detectors For Video Search By Ontology-Enriched Semantic Spaces, Xiao-Yong Wei, Chong-Wah Ngo, Yu-Gang Jiang
Research Collection School Of Computing and Information Systems
This paper describes the construction and utilization of two novel semantic spaces, namely Ontology-enriched Semantic Space (OSS) and Ontology-enriched Orthogonal Semantic Space (OS2), to facilitate the selection of concept detectors for video search. These two semantic spaces are enriched with ontology knowledge, while emphasizing consistent and uniform comparison of ontological relatedness among concepts for query-to-concept mapping. OS2, in addition to being a linear space like OSS, also guarantees orthogonality of the semantic space. Compared with other ontology reasoning measures, both spaces are capable of providing platforms that offer a global view of concept inter-relatedness, by allowing evaluation of concept similarity …
Ontology Enhanced Web Image Retrieval: Aided By Wikipedia And Spreading Activation Theory, Huan Wang, Xing Jiang, Liang-Tien Chia, Ah-Hwee Tan
Ontology Enhanced Web Image Retrieval: Aided By Wikipedia And Spreading Activation Theory, Huan Wang, Xing Jiang, Liang-Tien Chia, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Ontology, as an efective approach to bridge the semantic gap in various domains, has attracted a lot of interests from multimedia researchers. Among the numerous possibilities enabled by ontology, we are particularly interested in exploiting ontology for a better understanding of media task (particularly, images) on the World Wide Web. To achieve our goal, two open issues are inevitably involved: 1) How to avoid the tedious manual work for ontology construction? 2) What are the effective inference models when using an ontology? Recent works about ontology learned from Wikipedia has been reported in conferences targeting the areas of knowledge management …
Collecting Open Source Intelligence Via Tailored Information Delivery Systems, William Sousan, Qiuming Zhu, Ryan Nickell, William Mahoney, Peter Hospodka
Collecting Open Source Intelligence Via Tailored Information Delivery Systems, William Sousan, Qiuming Zhu, Ryan Nickell, William Mahoney, Peter Hospodka
Computer Science Faculty Publications
The Internet offers a plethora of freely available information for possible use in Open Source Intelligence (OSINT) operations. However, along with this information come challenges in finding relevant information and overcoming information overload. This paper presents the results of an ongoing research in a Tailored Information Delivery Services (TIDS) system that aids users in retrieving relevant information through various open intelligence sources. The TIDS provides a semantics-based query constructor that operates in a “What You Get is What You Need (WYGIWYNTM)” fashion and builds ontology based information tagging, theme extractor, and contextual model.
Data, Information, And Knowledge In The Context Of Sils, Michael A. Zang, Jens G. Pohl
Data, Information, And Knowledge In The Context Of Sils, Michael A. Zang, Jens G. Pohl
Jens G. Pohl
Data, information, and knowledge are becoming increasingly common terms in the literature of the software industry. This terminology originated some time ago in the disciplines of cognitive science and artificial intelligence to reference three closely related but distinct concepts. Traditionally, mainstream software engineering has lumped all three concepts together as data and has only recently begun to distinguish between them. Unfortunately, the popular desire to distinguish between data, information, and knowledge within the mainstream has blurred the individual meanings of the words to the point where there is no longer a clear-cut distinction between them for most people. This problem …
A Framework To Support Spatial, Temporal And Thematic Analytics Over Semantic Web Data, Matthew Perry, Amit P. Sheth
A Framework To Support Spatial, Temporal And Thematic Analytics Over Semantic Web Data, Matthew Perry, Amit P. Sheth
Kno.e.sis Publications
Spatial and temporal data are critical components in many applications. This is especially true in analytical applications ranging from scientific discovery to national security and criminal investigation. The analytical process often 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 data model for analysis of thematic, spatial and temporal relationships between …
Automating Mini-Ontology Generation From Canonical Tables, Stephen G. Lynn
Automating Mini-Ontology Generation From Canonical Tables, Stephen G. Lynn
Theses and Dissertations
In this thesis work we develop and test MOGO (a Mini-Ontology GeneratOr.) MOGO automates the generation of mini-ontologies from canonicalized tables of data. This will help anyone trying to organize large amounts of existing data into a more searchable and accessible form. By using a number of different heuristic rules for selecting, enhancing, and modifying ontology elements, MOGO allows users to automatically, semi-automatically, or manually generate conceptual mini-ontologies from canonicalized tables of data. Ideally, MOGO operates fully automatically while allowing users to intervene to direct and correct when necessary so that they can always satisfactorily complete the translation of canonicalized …
Knowledge Management Enterprise Services (Kmes): Concepts And Implementation Principles, Jens G. Pohl
Knowledge Management Enterprise Services (Kmes): Concepts And Implementation Principles, Jens G. Pohl
Jens G. Pohl
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 …
A Tool To Support Ontology Creation Based On Incremental Mini-Ontology Merging, Zonghui Lian
A Tool To Support Ontology Creation Based On Incremental Mini-Ontology Merging, Zonghui Lian
Theses and Dissertations
This thesis addresses the problem of tool support for semi-automatic ontology mapping and merging. Solving this problem contributes to ontology creation and evolution by relieving users from tedious and time-consuming work. This thesis shows that a tool can be built that will take a “mini-ontology” and a “growing ontology” as input and make it possible to produce manually, semi-automatically, or automatically an extended growing ontology as output. Characteristics of this tool include: (1) a graphical, interactive user interface with features that will allow users to map and merge ontologies, and (2) a framework supporting pluggable, semi-automatic, and automatic mapping and …
Knowledge Management For Disparate Etruscan Cultural Heritage, John Mcauley, James Carswell
Knowledge Management For Disparate Etruscan Cultural Heritage, John Mcauley, James Carswell
Conference papers
This paper introduces the TARCHNA approach to managing and presenting contextualised heritage content. The system uses the CIDOC CRM ontology to consolidate a virtual repository of geographically disparate heritage databases and present a holistic view of a fragmented heritage. While previous approaches to presenting heritage collections have focused on the browse and search paradigm, the TARCHNA system uses narrative concepts as a means of presenting and re-using contextualised heritage artefacts within a broader cultural setting.
Ontology Learning For The Semantic Deep Web, Yoo Jung An
Ontology Learning For The Semantic Deep Web, Yoo Jung An
Dissertations
Ontologies could play an important role in assisting users in their search for Web pages. This dissertation considers the problem of constructing natural ontologies that support users in their Web search efforts and increase the number of relevant Web pages that are returned. To achieve this goal, this thesis suggests combining the Deep Web information, which consists of dynamically generated Web pages and cannot be indexed by the existing automated Web crawlers, with ontologies, resulting in the Semantic Deep Web. The Deep Web information is exploited in three different ways: extracting attributes from the Deep Web data sources automatically, generating …
A Framework To Support Spatial, Temporal And Thematic Analytics Over Semantic Web Data, Matthew Steven Perry
A Framework To Support Spatial, Temporal And Thematic Analytics Over Semantic Web Data, Matthew Steven Perry
Browse all Theses and Dissertations
Spatial and temporal data are critical components in many applications. This is especially true in analytical applications ranging from scientific discovery to national security and criminal investigation. The analytical process often 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. This dissertation proposes a framework built around the RDF data model for analysis of thematic, spatial and temporal relationships between named entities. …