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- Semantic Web (6)
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- Semantic Associations (2)
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- Semantic Metadata (2)
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Articles 1 - 30 of 37
Full-Text Articles in Physical Sciences and Mathematics
Openws-Transaction: Enabling Reliable Web Service Transactions, Ivan Vasquez, John A. Miller, Kunal Verma, Amit P. Sheth
Openws-Transaction: Enabling Reliable Web Service Transactions, Ivan Vasquez, John A. Miller, Kunal Verma, Amit P. Sheth
Kno.e.sis Publications
OpenWS-Transaction is an open source middleware that enables Web services to participate in a distributed transaction as prescribed by the WS-Coordination and WS-Transaction set of specifications. Central to the framework are the Coordinator and Participant entities, which can be integrated into existing services by introducing minimal changes to application code. OpenWS-Transaction allows transaction members to recover their original state in case of operational failure by leveraging techniques in logical logging and recovery at the application level. Depending on transaction style, system recovery may involve restoring key application variables and replaying uncommitted database activity. Transactions are assumed to be defined in …
Demonstrating Dynamic Configuration And Execution Of Web Processes, Karthik Gomadam, Kunal Verma, Amit P. Sheth, John A. Miller
Demonstrating Dynamic Configuration And Execution Of Web Processes, Karthik Gomadam, Kunal Verma, Amit P. Sheth, John A. Miller
Kno.e.sis Publications
Web processes are next generation workflows on the web, created using Web services. In this paper we demonstrate the METEOR-S Configuration and Execution Environment (MCEE) system. It will illustrate the capabilities of the system to a) Discover partners b) Optimize partner selection using constraint analysis, c) Perform interaction protocol and data mediation. A graphical execution monitor to monitor the various phases of execution will be used to demonstrate various aspects of the system.
Discovering Informative Connection Subgraphs In Multi-Relational Graphs, Cartic Ramakrishnan, William Milnor, Matthew Perry, Amit P. Sheth
Discovering Informative Connection Subgraphs In Multi-Relational Graphs, Cartic Ramakrishnan, William Milnor, Matthew Perry, Amit P. Sheth
Kno.e.sis Publications
Discovering patterns in graphs has long been an area of interest. In most approaches to such pattern discovery either quantitative anomalies, frequency of substructure or maximum flow is used to measure the interestingness of a pattern. In this paper we introduce heuristics that guide a subgraph discovery algorithm away from banal paths towards more "informative" ones. Given an RDF graph a user might pose a question of the form: "What are the most relevant ways in which entity X is related to entity Y?" the response to which is a subgraph connecting X to Y. We use our heuristics to …
Ontoqa: Metric-Based Ontology Quality Analysis, Samir Tartir, I. Budak Arpinar, Michael Moore, Amit P. Sheth, Boanerges Aleman-Meza
Ontoqa: Metric-Based Ontology Quality Analysis, Samir Tartir, I. Budak Arpinar, Michael Moore, Amit P. Sheth, Boanerges Aleman-Meza
Kno.e.sis Publications
As the Semantic Web gains importance for sharing knowledge on the Internet this has lead to the development and publishing of many ontologies in different domains. When trying to reuse existing ontologies into their applications, users are faced with the problem of determining if an ontology is suitable for their needs. In this paper, we introduce OntoQA, an approach that analyzes ontology schemas and their populations (i.e. knowledgebases) and describes them through a well defined set of metrics. These metrics can highlight key characteristics of an ontology schema as well as its population and enable users to make an informed …
Semantics For Scientific Experiments And The Web: The Implicit, The Formal And The Powerful, Amit P. Sheth
Semantics For Scientific Experiments And The Web: The Implicit, The Formal And The Powerful, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Optimal Adaptation In Autonomic Web Processes With Inter-Service Dependencies, Kunal Verma, Prashant Doshi, Karthik Gomadam, John A. Miller, Amit P. Sheth
Optimal Adaptation In Autonomic Web Processes With Inter-Service Dependencies, Kunal Verma, Prashant Doshi, Karthik Gomadam, John A. Miller, Amit P. Sheth
Kno.e.sis Publications
We present methods for optimally adapting Web processes to exogenous events while preserving inter-service dependencies. For example, in a supply chain process, orders placed by the manufacturer may get delayed in arriving. In response to this event, the manufacturer has the choice of either waiting out the delay or changing the supplier.
Computing For Human Experience And Wellness, Amit P. Sheth
Computing For Human Experience And Wellness, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Work In Progress: The Wsu Model For Engineering Mathematics Education, Nathan W. Klingbeil, Richard Mercer, Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds
Work In Progress: The Wsu Model For Engineering Mathematics Education, Nathan W. Klingbeil, Richard Mercer, Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds
Kno.e.sis Publications
This paper summarizes progress to date on the WSU model for engineering mathematics education, an NSF funded curriculum reform initiative at Wright State University. The WSU model seeks to increase student retention, motivation and success in engineering through application-driven, just-in-time engineering math instruction. The WSU approach involves the development of a novel freshman-level engineering mathematics course EGR 101, as well as a large-scale restructuring of the engineering curriculum. By removing traditional math prerequisites and moving core engineering courses earlier in the program, the WSU model shifts the traditional emphasis on math prerequisite requirements to an emphasis on engineering motivation for …
Ga-Facilitated Knn Classifier Optimization With Varying Similarity Measures, Michael R. Peterson, Travis E. Doom, Michael L. Raymer
Ga-Facilitated Knn Classifier Optimization With Varying Similarity Measures, Michael R. Peterson, Travis E. Doom, Michael L. Raymer
Kno.e.sis Publications
Genetic algorithms are powerful tools for k-nearest neighbors classifier optimization. While traditional knn classification techniques typically employ Euclidian distance to assess pattern similarity, other measures may also be utilized. Previous research demonstrates that GAs can improve predictive accuracy by searching for optimal feature weights and offsets for a cosine similarity-based knn classifier. GA-selected weights determine the classification relevance of each feature, while offsets provide alternative points of reference when assessing angular similarity. Such optimized classifiers perform competitively with other contemporary classification techniques. This paper explores the effectiveness of GA weight and offset optimization for knowledge discovery using knn classifiers with …
Enterprise Applications Of Semantic Web: The Sweet Spot Of Risk And Compliance, Amit P. Sheth
Enterprise Applications Of Semantic Web: The Sweet Spot Of Risk And Compliance, Amit P. Sheth
Kno.e.sis Publications
Semantic Web is in the transition from vision and research to reality. In this early state, it is important to study the technical capabilities in the context of real-world applications, and how applications built using the Semantic Web technology meet the real market needs. Beyond push from research, it is the market pull and the ability of the technology to meet real business needs that is a key to ultimate success of any technology. In this paper, we discuss the market of Risk and Compliance which presents unique market opportunity combined with challenging technical requirements. We discuss how the Semantic …
Peer-To-Peer Discovery Of Semantic Associations, Matthew Perry, Maciej Janik, Cartic Ramakrishnan, Conrad Ibanez, I. Budak Arpinar, Amit P. Sheth
Peer-To-Peer Discovery Of Semantic Associations, Matthew Perry, Maciej Janik, Cartic Ramakrishnan, Conrad Ibanez, I. Budak Arpinar, Amit P. Sheth
Kno.e.sis Publications
The Semantic Web vision promises an extension of the current Web in which all data is annotated with machine understandable metadata. The relationship-centric nature of this data has led to the definition of Semantic Associations, which are complex relationships between resources. Semantic Associations attempt to answer queries of the form “how are resource A and resource B related?” Knowing how two entities are related is a crucial question in knowledge discovery applications. Much the same way humans collaborate and interact to form new knowledge, discovery of Semantic Associations across repositories on a peer-to-peer network can allow peers to share their …
A Semantic Template Based Designer For Semantic Web Processes, Ranjit Mulye, John A. Miller, Kunal Verma, Karthik Gomadam, Amit P. Sheth
A Semantic Template Based Designer For Semantic Web Processes, Ranjit Mulye, John A. Miller, Kunal Verma, Karthik Gomadam, Amit P. Sheth
Kno.e.sis Publications
The growing popularity of service oriented computing based on Web services standards is creating a need for paradigms to represent and design business processes. Significant work has been done in the representation aspects with regards to WSBPEL. However, design and modeling of business processes is still an open issue. In this paper, we present a novel designer for business processes, which allows for intuitive modeling of Web processes, as well as using a template based approach for semi-automatically integrating partners either at design time or at deployment time. This work has been done as part of the METEOR-S project, which …
On Embedding Machine-Processable Semantics Into Documents, Krishnaprasad Thirunarayan
On Embedding Machine-Processable Semantics Into Documents, Krishnaprasad Thirunarayan
Kno.e.sis Publications
Most Web and legacy paper-based documents are available in human comprehensible text form, not readily accessible to or understood by computer programs. Here, we investigate an approach to amalgamate XML technology with programming languages for representational purposes that can enhance traceability, thereby facilitating semiautomatic extraction and update. Specifically, we propose a modular technique to embed machine-processable semantics into a text document with tabular data via annotations, resulting sometimes in ill-formed XML fragments, and evaluate this technique vis a vis document querying, manipulation, and integration. The ultimate aim is to be able to author and extract human-readable and machine-comprehensible parts of …
A Modular Approach To Document Indexing And Semantic Search, Dhanya Ravishankar, Krishnaprasad Thirunarayan, Trivikram Immaneni
A Modular Approach To Document Indexing And Semantic Search, Dhanya Ravishankar, Krishnaprasad Thirunarayan, Trivikram Immaneni
Kno.e.sis Publications
This paper develops a modular approach to improving effectiveness of searching documents for information by reusing and integrating mature software components such as Lucene APIs, WORDNET, LSA techniques, and domain-specific controlled vocabulary. To evaluate the practical benefits, the prototype was used to query MEDLINE database, and to locate domain-specific controlled vocabulary terms in Materials and Process Specifications. Its extensibility has been demonstrated by incorporating a spell-checker for the input query, and by structuring the retrieved output into hierarchical collections for quicker assimilation. It is also being used to experimentally explore the relationship between LSA and document clustering using 20-mini-newsgroups and …
Lifecycle Of Semantic Web Processes, Jorge Cardoso, Chistoph Bussler, Amit P. Sheth
Lifecycle Of Semantic Web Processes, Jorge Cardoso, Chistoph Bussler, Amit P. Sheth
Kno.e.sis Publications
This tutorial presents what can be achieved by symbiotic synthesis of two of the most important research and technology application areas: Web Services and the Semantic Web. It presents the more recent evolution of the Web Service platform towards rich Web Service and process model annotation, and explores some of the promises and challenges in applying semantics to each of the steps in the Semantic Web Process lifecycle.
Web Service Semantics - Wsdl-S, Rama Akkiraju, Joel Farrell, John A. Miller, Meenakshi Nagarajan, Amit P. Sheth, Kunal Verma
Web Service Semantics - Wsdl-S, Rama Akkiraju, Joel Farrell, John A. Miller, Meenakshi Nagarajan, Amit P. Sheth, Kunal Verma
Kno.e.sis Publications
Web services have primarily been designed for providing inter-operability between business applications. Current technologies assume a large amount of human interaction, for integrating two applications. This is primarily due to the fact that business process integration requires understanding of data and functions of the involved entities. Semantic Web technologies, powered by description logic based languages like OWL[1], aim to add greater meaning to Web content, by annotating the data with ontologies. Ontologies provide a mechanism of providing shared conceptualizations of domains. This allows agents to get an understanding of users’ Web content and greatly reduces human interaction for meaningful Web …
Semantic Management Of Web Services Using The Core Ontology Of Services, Daniel Oberle, Steffen Lamparter, Andreas Eberhart, Stephan Grimm, Sudhir Agarwal, Rudi Studer, Pascal Hitzler
Semantic Management Of Web Services Using The Core Ontology Of Services, Daniel Oberle, Steffen Lamparter, Andreas Eberhart, Stephan Grimm, Sudhir Agarwal, Rudi Studer, Pascal Hitzler
Kno.e.sis Publications
Different Web Service standards like WSDL, WS-Security, WS-Policy etc., henceforth referred to as WS*, factorize Web Service management tasks into different aspects, such as input/output, workflow, or security. The advantages of WS* are multiple and have already achieved industrial impact. WS* descriptions are exchangeable and developers may use different implementations for the same Web Service description. The disadvantages of WS*, however, are also apparent: even though the different standards are complementary, they must overlap and one may produce models composed of different WS* descriptions, which are inconsistent with each other, but the reasons for the inconsistencies are not easily determined. …
Ga-Facilitated Classifier Optimization With Varying Similarity Measures, Michael R. Peterson, Travis E. Doom, Michael L. Raymer
Ga-Facilitated Classifier Optimization With Varying Similarity Measures, Michael R. Peterson, Travis E. Doom, Michael L. Raymer
Kno.e.sis Publications
Genetic algorithms are powerful tools for k-nearest neighbors classification. Traditional knn classifiers employ Euclidian distance to assess neighbor similarity, though other measures may also be used. GAs can search for optimal linear weights of features to improve knn performance using both Euclidian distance and cosine similarity. GAs also optimize additive feature offsets in search of an optimal point of reference for assessing angular similarity using the cosine measure. This poster explores weight and offset optimization for knn with varying similarity measures, including Euclidian distance (weights only), cosine similarity, and Pearson correlation. The use of offset optimization …
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 …
Semantic Web Services For N-Glycosylation Process, Satya S. Sahoo, Amit P. Sheth, William S. York, John A. Miller
Semantic Web Services For N-Glycosylation Process, Satya S. Sahoo, Amit P. Sheth, William S. York, John A. Miller
Kno.e.sis Publications
Glycomics is one of the many research efforts currently underway in the biosciences domain, which is characterized by high throughput data generated at multiple experimental stages. For example, analysis of N-glycosylation encompasses stages from cell-culture to peptide identification and quantification. Research groups across the world use diverse cell cultures, separation and spectroscopic techniques, and data identification, correlation and integration methodologies. Thus, data generated at different phases of the process by multiple groups are both structurally and functionally heterogeneous.
Web Services To Semantic Web Processes: Investigating Synergy Between Practice And Research, Amit P. Sheth
Web Services To Semantic Web Processes: Investigating Synergy Between Practice And Research, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Web Service Semantics - Wsdl-S, Rama Akkiraju, Joel Farrell, John A. Miller, Meenakshi Nagarajan, Amit P. Sheth, Kunal Verma
Web Service Semantics - Wsdl-S, Rama Akkiraju, Joel Farrell, John A. Miller, Meenakshi Nagarajan, Amit P. Sheth, Kunal Verma
Kno.e.sis Publications
The current WSDL standard operates at the syntactic level and lacks the semantic expressivity needed to represent the requirements and capabilities of Web Services. Semantics can improve software reuse and discovery, significantly facilitate composition of Web services and enable integrating legacy applications as part of business process integration. The Web Service Semantic s technical note defines a mechanism to associate semantic annotations with Web services that are described using Web Service Description Language (WSDL). It is conceptually based on, but a significant refinement in details of, the original WSDL-S proposal [WSDL-S] from the LSDIS laboratory at the University of Georgia. …
An Information Extraction Approach To Reorganizing And Summarizing Specifications, Krishnaprasad Thirunarayan, Aaron Berkovich, Dan Z. Sokol
An Information Extraction Approach To Reorganizing And Summarizing Specifications, Krishnaprasad Thirunarayan, Aaron Berkovich, Dan Z. Sokol
Kno.e.sis Publications
Materials and Process Specifications are complex semi-structured documents containing numeric data, text, and images. This article describes a coarse-grain extraction technique to automatically reorganize and summarize spec content. Specifically, a strategy for semantic-markup, to capture content within a semantic ontology, relevant to semi-automatic extraction, has been developed and experimented with. The working prototypes were built in the context of Cohesia's existing software infrastructure, and use techniques from Information Extraction, XML technology, etc.
Divide-And-Approximate: A Novel Constraint Push Strategy For Iceberg Cube Mining, Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han
Divide-And-Approximate: A Novel Constraint Push Strategy For Iceberg Cube Mining, Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han
Kno.e.sis Publications
The iceberg cube mining computes all cells v, corresponding to GROUP BY partitions, that satisfy a given constraint on aggregated behaviors of the tuples in a GROUP BY partition. The number of cells often is so large that the result cannot be realistically searched without pushing the constraint into the search. Previous works have pushed antimonotone and monotone constraints. However, many useful constraints are neither antimonotone nor monotone. We consider a general class of aggregate constraints of the form f(v)θσ, where f is an arithmetic function of SQL-like aggregates and θ is one of <, ≤, ≥, > . We propose a …
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.
A Random Rotation Perturbation Approach To Privacy Preserving Data Classification, Keke Chen, Ling Liu
A Random Rotation Perturbation Approach To Privacy Preserving Data Classification, Keke Chen, Ling Liu
Kno.e.sis Publications
This paper presents a random rotation perturbation approach for privacy preserving data classification. Concretely, we identify the importance of classification-specific information with respect to the loss of information factor, and present a random rotation perturbation framework for privacy preserving data classification. Our approach has two unique characteristics. First, we identify that many classification models utilize the geometric properties of datasets, which can be preserved by geometric rotation. We prove that the three types of classifiers will deliver the same performance over the rotation perturbed dataset as over the original dataset. Second, we propose a multi-column privacy model to address the …
Tontogen: A Synthetic Data Set Generator For Semantic Web Applications, Matthew Perry
Tontogen: A Synthetic Data Set Generator For Semantic Web Applications, Matthew Perry
Kno.e.sis Publications
No abstract provided.
Variational Bayesian Image Modelling, Li Chen, Feng Jiao, Dale Schuurmans, Shaojun Wang
Variational Bayesian Image Modelling, Li Chen, Feng Jiao, Dale Schuurmans, Shaojun Wang
Kno.e.sis Publications
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models—Hidden Markov Random Fields (HMRFs). HMRFs are particularly well suited to image modelling and in this paper, we apply them to the problem of image segmentation. Unfortunately, HMRFs are notoriously hard to train and use because the exact inference problems they create are intractable. Our main contribution is to introduce an efficient variational approach for performing approximate inference of the Bayesian formulation of HMRFs, which we can then apply to the density estimation and model selection problems that arise when …
Meteor-S Wsdi: A Scalable P2p Infrastructure Of Registries For Semantic Publication And Discovery Of Web Services, Kunal Verma, Kaarthik Sivashanmugam, Amit P. Sheth, Abhijit Patil, Swapna Oundhakar, John Miller
Meteor-S Wsdi: A Scalable P2p Infrastructure Of Registries For Semantic Publication And Discovery Of Web Services, Kunal Verma, Kaarthik Sivashanmugam, Amit P. Sheth, Abhijit Patil, Swapna Oundhakar, John Miller
Kno.e.sis Publications
Web services are the new paradigm for distributed computing. They have much to offer towards interoperability of applications and integration of large scale distributed systems. To make Web services accessible to users, service providers use Web service registries to publish them. Current infrastructure of registries requires replication of all Web service publications in all Universal Business Registries. Large growth in number of Web services as well as the growth in the number of registries would make this replication impractical. In addition, the current Web service discovery mechanism is inefficient, as it does not support discovery based on the capabilities of …
From Semantic Search & Integration To Analytics, Amit P. Sheth
From Semantic Search & Integration To Analytics, Amit P. Sheth
Kno.e.sis Publications
Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the next generation of enterprise content management. Ontology is the centerpiece of the most prevalent semantic technologies and provides the basis of representing, acquiring, and utilizing knowledge. With the availability of several commercial products and many research tools, specifications and increasing adoption of Semantic Web standards such as RDF for metadata and OWL for ontology representation, ontology-driven techniques and systems have already enabled a new generation of industry strength semantic applications. In particular, Semagix's Freedom has powered applications in leading verticals such …