The Experts below are selected from a list of 11559 Experts worldwide ranked by ideXlab platform
Matthias Weber - One of the best experts on this subject based on the ideXlab platform.
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VDM Europe (1) - Deriving Transivity of VDM-Reification in DEVA
Lecture Notes in Computer Science, 1991Co-Authors: Matthias WeberAbstract:This paper reports on an exercise to study how a typical fundamental property of a development technique, viz. transitivity of data-Reification in VDM, is formally derived as a property of a method formalization in a meta-calculus, viz. DEVA. To this end, an existing DEVA-formalization of the VDM-Reification has been generalized such that its axiom set becomes independent from the number of Reification steps performed. This generalized formalization allows to prove transitivity of Reification. The formalization and the transitivity proof are performed completely inside DEVA.
Bhavani Thuraisingham - One of the best experts on this subject based on the ideXlab platform.
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Relationalization of provenance data in complex RDF Reification nodes
Electronic Commerce Research, 2010Co-Authors: Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani ThuraisinghamAbstract:The plethora of information available to today’s users due to the Internet phenomenon has brought forth an associated concern, namely, determination of the trustworthiness of information. Provenance information, such as who is responsible for the data or how the data came to be, plays a pivotal role in addressing this concern by providing additional facts that could serve as a basis for establishing the authenticity of information. Awareness of the importance of data provenance has ensured that current technologies include support for the ability to record provenance information. These include Semantic Web technologies such as Resource Description Framework (RDF) that records data provenance through the process of Reification. Reification enables the association of a level of trust with RDF triples, thereby enabling the validation of the authenticity of the triples. RDF’s rapid acceptance has created an associated demand for RDF data modeling and visualization tools and our research, called R2D, is aimed at addressing and providing a solution for this demand by leveraging and reusing existing mature technologies. The work presented in this paper extends our earlier work on relationalization of the RDF concept of Reification by providing support for complex Reifications that include a variety of blank nodes. Algorithmic enhancements that were incorporated into the various R2D components in order to support relationalization of complex Reifications are presented along with performance graphs and screenshots of the relational equivalent of a reified RDF store as seen through an open source relational visualization tool.
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a relational wrapper for rdf Reification
International Conference on Trust Management, 2009Co-Authors: Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani ThuraisinghamAbstract:The importance of provenance information as a means to trust and validate the authenticity of available data cannot be stressed enough in today’s web-enabled world. The abundance of data now accessible due to the Internet explosion brings with it the related issue of determining how much of it is trustworthy. Provenance information, such as who is responsible for the data or how the data came to be, assists in the process of verifying the authenticity of the data. Semantic web technologies such as Resource Description Framework (RDF) include the ability to record such provenance information through the process of Reification. RDF’s popularity has resulted in a demand for modeling and visualization tools. The work presented in this paper, called R2D, attempts to address this demand by innovatively integrating existing, stable technologies such as relational systems with the newer web technologies such as RDF. The work in this paper extends our earlier work by adding support for the RDF concept of Reification. Reification enables the association of a level of trust and confidence with RDF triples, thereby enabling the ranking/validation of the authenticity of the triples. Details of the algorithmic enhancements to the various components of R2D that were made to support RDF Reification are presented along with performance graphs for queries executed on a database containing crime records data from a police department.
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IFIPTM - A relational wrapper for RDF Reification
Trust Management III, 2009Co-Authors: Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani ThuraisinghamAbstract:The importance of provenance information as a means to trust and validate the authenticity of available data cannot be stressed enough in today’s web-enabled world. The abundance of data now accessible due to the Internet explosion brings with it the related issue of determining how much of it is trustworthy. Provenance information, such as who is responsible for the data or how the data came to be, assists in the process of verifying the authenticity of the data. Semantic web technologies such as Resource Description Framework (RDF) include the ability to record such provenance information through the process of Reification. RDF’s popularity has resulted in a demand for modeling and visualization tools. The work presented in this paper, called R2D, attempts to address this demand by innovatively integrating existing, stable technologies such as relational systems with the newer web technologies such as RDF. The work in this paper extends our earlier work by adding support for the RDF concept of Reification. Reification enables the association of a level of trust and confidence with RDF triples, thereby enabling the ranking/validation of the authenticity of the triples. Details of the algorithmic enhancements to the various components of R2D that were made to support RDF Reification are presented along with performance graphs for queries executed on a database containing crime records data from a police department.
Sunitha Ramanujam - One of the best experts on this subject based on the ideXlab platform.
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Relationalization of provenance data in complex RDF Reification nodes
Electronic Commerce Research, 2010Co-Authors: Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani ThuraisinghamAbstract:The plethora of information available to today’s users due to the Internet phenomenon has brought forth an associated concern, namely, determination of the trustworthiness of information. Provenance information, such as who is responsible for the data or how the data came to be, plays a pivotal role in addressing this concern by providing additional facts that could serve as a basis for establishing the authenticity of information. Awareness of the importance of data provenance has ensured that current technologies include support for the ability to record provenance information. These include Semantic Web technologies such as Resource Description Framework (RDF) that records data provenance through the process of Reification. Reification enables the association of a level of trust with RDF triples, thereby enabling the validation of the authenticity of the triples. RDF’s rapid acceptance has created an associated demand for RDF data modeling and visualization tools and our research, called R2D, is aimed at addressing and providing a solution for this demand by leveraging and reusing existing mature technologies. The work presented in this paper extends our earlier work on relationalization of the RDF concept of Reification by providing support for complex Reifications that include a variety of blank nodes. Algorithmic enhancements that were incorporated into the various R2D components in order to support relationalization of complex Reifications are presented along with performance graphs and screenshots of the relational equivalent of a reified RDF store as seen through an open source relational visualization tool.
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a relational wrapper for rdf Reification
International Conference on Trust Management, 2009Co-Authors: Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani ThuraisinghamAbstract:The importance of provenance information as a means to trust and validate the authenticity of available data cannot be stressed enough in today’s web-enabled world. The abundance of data now accessible due to the Internet explosion brings with it the related issue of determining how much of it is trustworthy. Provenance information, such as who is responsible for the data or how the data came to be, assists in the process of verifying the authenticity of the data. Semantic web technologies such as Resource Description Framework (RDF) include the ability to record such provenance information through the process of Reification. RDF’s popularity has resulted in a demand for modeling and visualization tools. The work presented in this paper, called R2D, attempts to address this demand by innovatively integrating existing, stable technologies such as relational systems with the newer web technologies such as RDF. The work in this paper extends our earlier work by adding support for the RDF concept of Reification. Reification enables the association of a level of trust and confidence with RDF triples, thereby enabling the ranking/validation of the authenticity of the triples. Details of the algorithmic enhancements to the various components of R2D that were made to support RDF Reification are presented along with performance graphs for queries executed on a database containing crime records data from a police department.
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IFIPTM - A relational wrapper for RDF Reification
Trust Management III, 2009Co-Authors: Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani ThuraisinghamAbstract:The importance of provenance information as a means to trust and validate the authenticity of available data cannot be stressed enough in today’s web-enabled world. The abundance of data now accessible due to the Internet explosion brings with it the related issue of determining how much of it is trustworthy. Provenance information, such as who is responsible for the data or how the data came to be, assists in the process of verifying the authenticity of the data. Semantic web technologies such as Resource Description Framework (RDF) include the ability to record such provenance information through the process of Reification. RDF’s popularity has resulted in a demand for modeling and visualization tools. The work presented in this paper, called R2D, attempts to address this demand by innovatively integrating existing, stable technologies such as relational systems with the newer web technologies such as RDF. The work in this paper extends our earlier work by adding support for the RDF concept of Reification. Reification enables the association of a level of trust and confidence with RDF triples, thereby enabling the ranking/validation of the authenticity of the triples. Details of the algorithmic enhancements to the various components of R2D that were made to support RDF Reification are presented along with performance graphs for queries executed on a database containing crime records data from a police department.
Katarzyna Kaczmarska - One of the best experts on this subject based on the ideXlab platform.
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Reification in IR: The process and consequences of reifying the idea of international society
International Studies Review, 2018Co-Authors: Katarzyna KaczmarskaAbstract:AbstractThis article studies the contentious problem of Reification in international relations (IR) on the example of the idea of international society. It shows how the idea became reified, that is, how the move was made from approaching international society as one of several competing frameworks for the study of international politics to considering it an objective fact, a self-evident reality of international politics, and an entity in the possession of agency. For this purpose, I trace key writings of the English school and survey their contribution to the idea’s development and gradual Reification. I posit that Reification has been the outcome of individual strategies and disciplinary practices pertaining to the knowledge production process, in particular the perceived need to establish and maintain a research program while continuing to provide viable explanations of world events. In discussing the consequences, I argue that Reification adversely affects not only research outcomes but also the study process. A reified category, once it becomes a default language through which to think and talk about international politics, narrows down avenues for diverging interpretations of international politics. Furthermore, endowing international society with agency hides real agents behind specific actions in international politics.
Seemantini Pathak - One of the best experts on this subject based on the ideXlab platform.
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The Reification of absorptive capacity: A critical review and rejuvenation of the construct
Academy of Management Review, 2006Co-Authors: Peter J. Lane, Balaji R. Koka, Seemantini PathakAbstract:We conduct a detailed analysis of 289 absorptive capacity papers from 14 journals to assess how the construct has been utilized, examine the key papers in the field, and identify the substantive contributions to the broader literature using a thematic analysis. We argue that research in this area is fundamentally driven by five critical assumptions that we conclude have led to its Reification and that this Reification has led to stifling of research in this area. To address this, we propose a model of absorptive capacity processes, antecedents, and outcomes.
