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Full-Text Articles in Science and Technology Studies
A Taxonomy-Based Model For Expertise Extrapolation, Delroy H. Cameron, Boanerges Aleman-Meza, Ismailcem Budak Arpinar, Sheron L. Decker, Amit P. Sheth
A Taxonomy-Based Model For Expertise Extrapolation, Delroy H. Cameron, Boanerges Aleman-Meza, Ismailcem Budak Arpinar, Sheron L. Decker, Amit P. Sheth
Kno.e.sis Publications
While many ExpertFinder applications succeed in finding experts, their techniques are not always designed to capture the various levels at which expertise can be expressed. Indeed, expertise can be inferred from relationships between topics and subtopics in a taxonomy. The conventional wisdom is that expertise in subtopics is also indicative of expertise in higher level topics as well. The enrichment of Expertise Profiles for finding experts can therefore be facilitated by taking domain hierarchies into account. We present a novel semantics-based model for finding experts, expertise levels and collaboration levels in a peer review context, such as composing a Program …
A Semantic Framework For Identifying Events In A Service Oriented Architecture, Karthik Gomadam, Ajith Harshana Ranabahu, Lakshmish Ramaswamy, Amit P. Sheth, Kunal Verma
A Semantic Framework For Identifying Events In A Service Oriented Architecture, Karthik Gomadam, Ajith Harshana Ranabahu, Lakshmish Ramaswamy, Amit P. Sheth, Kunal Verma
Kno.e.sis Publications
We propose a semantic framework for automatically identifying events as a step towards developing an adaptive middleware for Service Oriented Architecture (SOA). Current related research focuses on adapting to events that violate certain non-functional objectives of the service requestor. Given the large of number of events that can happen during the execution of a service, identifying events that can impact the non-functional objectives of a service request is a key challenge. To address this problem we propose an approach that allows service requestors to create semantically rich service requirement descriptions, called semantic templates. We propose a formal model for expressing …
An Ontological Approach To The Document Access Problem Of Insider Threat, Boanerges Aleman-Meza, Phillip Burns, Matthew Eavenson, Devanand Palanswami, Amit P. Sheth
An Ontological Approach To The Document Access Problem Of Insider Threat, Boanerges Aleman-Meza, Phillip Burns, Matthew Eavenson, Devanand Palanswami, Amit P. Sheth
Kno.e.sis Publications
Verification of legitimate access of documents, which is one aspect of the umbrella of problems in the Insider Threat category, is a challenging problem. This paper describes the research and prototyping of a system that takes an ontological approach, and is primarily targeted for use by theintelligence community. Our approach utilizes the notion of semantic associations and their discovery among a collection of heterogeneous documents. We highlight our contributions in (graphically) capturing the scope of the investigation assignment of an intelligence analyst by referring to classes and relationships of an ontology; in computing a measure of the relevance …
Ranking Complex Relationships On The Semantic Web, Boanerges Aleman-Meza, Christian Halaschek-Wiener, I. Budak Arpinar, Cartic Ramakrishnan, Amit P. Sheth
Ranking Complex Relationships On The Semantic Web, Boanerges Aleman-Meza, Christian Halaschek-Wiener, I. Budak Arpinar, Cartic Ramakrishnan, Amit P. Sheth
Kno.e.sis Publications
Industry and academia are both focusing their attention on information retrieval over semantic metadata extracted from the Web, and it is increasingly possible to analyze such metadata to discover interesting relationships. However, just as document ranking is a critical component in today's search engines, the ranking of complex relationships would be an important component in tomorrow's semantic Web engines. This article presents a flexible ranking approach to identify interesting and relevant relationships in the semantic Web. The authors demonstrate the scheme's effectiveness through an empirical evaluation over a real-world data set.
Managing Semantic Content For The Web, Amit P. Sheth, Clemens Bertram, David Avant, Brian Hammond, Krzysztof Kochut, Yashodhan Warke
Managing Semantic Content For The Web, Amit P. Sheth, Clemens Bertram, David Avant, Brian Hammond, Krzysztof Kochut, Yashodhan Warke
Kno.e.sis Publications
By associating meaning with content, the Semantic Web will facilitate search, interoperability, and the composition of complex applications. A recent Scientific American article described the Semantic Web as 'an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation.' Not long ago, researchers at a Stanford University symposium predicted that this second phase of the Web would be as revolutionary as the Web itself.