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Articles 10351 - 10380 of 10627
Full-Text Articles in Life Sciences
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 …
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 …
Description Logic Programs: A Practical Choice For The Modelling Of Ontologies, Rudi Studer, York Sure, Pascal Hitzler
Description Logic Programs: A Practical Choice For The Modelling Of Ontologies, Rudi Studer, York Sure, Pascal Hitzler
Computer Science and Engineering Faculty Publications
Knowledge representation using ontologies constitutes the heart of semantic technologies. Despite successful standardization efforts by the W3C, however, there are still numerous different ontology representation languages being used, and interoperability between them is in general not given. The problem is aggrevated by the fact that current standards lay foundations only and are well-known to be insufficient for the modelling of finer details. Thus, a plethora of extensions of the basic languages is being proposed, rendering the picture of ontology representation languages to be chaotic, to say the least. While semantic technologies start to become applicable and are being applied in …
Integrating Semantic Web Services For Mobile Access, Anupriya Ankolekar, Pascal Hitzler, Holger Lewen, Daniel Oberle, Rudi Studer
Integrating Semantic Web Services For Mobile Access, Anupriya Ankolekar, Pascal Hitzler, Holger Lewen, Daniel Oberle, Rudi Studer
Computer Science and Engineering Faculty Publications
We present our work in integrating Semantic Web services for access via mobile devices. We have developed a system, the WebServiceAccessComponent, that transforms a user request for a service on a mobile device, to a Web service request and then selects a matching service from the existing Web services of the Deutsche Telekom, which provide navigational and weather information. In this poster, we present the requirements and design of the WebServiceAccessComponent.
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. …
New Statistical Paradigms Leading To Web-Based Tools For Clinical/Translational Science, Knut M. Wittkowski
New Statistical Paradigms Leading To Web-Based Tools For Clinical/Translational Science, Knut M. Wittkowski
COBRA Preprint Series
As the field of functional genetics and genomics is beginning to mature, we become confronted with new challenges. The constant drop in price for sequencing and gene expression profiling as well as the increasing number of genetic and genomic variables that can be measured makes it feasible to address more complex questions. The success with rare diseases caused by single loci or genes has provided us with a proof-of-concept that new therapies can be developed based on functional genomics and genetics.
Common diseases, however, typically involve genetic epistasis, genomic pathways, and proteomic pattern. Moreover, to better understand the underlying biologi-cal …
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.
Bridging The Paradigm Gap With Rules For Owl, Jurgen Angele, Boris Motik, Rudi Studer, Pascal Hitzler
Bridging The Paradigm Gap With Rules For Owl, Jurgen Angele, Boris Motik, Rudi Studer, Pascal Hitzler
Computer Science and Engineering Faculty Publications
Accelerated by the vision of the semantic web, semantic technologies have recently made significant advances. The underlying methods and paradigms are already being transferred to adjacent areas of research in artificial intelligence, knowledge management, and elsewhere. Textbooks explaining the foundations have appeared. Large national and international projects on the topic are under way.
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. …
Nucleic Acid Sequencing Using Charge-Switch Nucleotides, John G. K. Williams, Gregory R. Bashford
Nucleic Acid Sequencing Using Charge-Switch Nucleotides, John G. K. Williams, Gregory R. Bashford
Biomedical Imaging and Biosignal Analysis Laboratory
The present invention provides compounds, methods and systems for sequencing nucleic acid using single molecule detection. Using labeled NPs that exhibit charge-switching behavior, single-molecule DNA sequencing in a microchannel sorting system is realized. In operation, sequencing products are detected enabling real-time sequencing as successive detectable moieties flow through a detection channel. By electrically sorting charged molecules, the cleaved product molecules are detected in isolation without interference from unincorporated NPs and without illuminating the polymerase-DNA complex.
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 …,>
Cluster Analysis Of Genomic Data With Applications In R, Katherine S. Pollard, Mark J. Van Der Laan
Cluster Analysis Of Genomic Data With Applications In R, Katherine S. Pollard, Mark J. Van Der Laan
U.C. Berkeley Division of Biostatistics Working Paper Series
In this paper, we provide an overview of existing partitioning and hierarchical clustering algorithms in R. We discuss statistical issues and methods in choosing the number of clusters, the choice of clustering algorithm, and the choice of dissimilarity matrix. In particular, we illustrate how the bootstrap can be employed as a statistical method in cluster analysis to establish the reproducibility of the clusters and the overall variability of the followed procedure. We also show how to visualize a clustering result by plotting ordered dissimilarity matrices in R. We present a new R package, hopach, which implements the hybrid clustering method, …
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 …
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 …
Wsdl-S: Adding Semantics To Wsdl, John Miller, Kunal Verma, Preeda Rajasekaran, Amit P. Sheth, Rohit Aggarwal, Kaarthik Sivashanmugam
Wsdl-S: Adding Semantics To Wsdl, John Miller, Kunal Verma, Preeda Rajasekaran, Amit P. Sheth, Rohit Aggarwal, Kaarthik Sivashanmugam
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 …
Level Mapping Characterizations Of Selector-Generated Models For Logic Programs, Sibylle Schwarz, Pascal Hitzler
Level Mapping Characterizations Of Selector-Generated Models For Logic Programs, Sibylle Schwarz, Pascal Hitzler
Computer Science and Engineering Faculty Publications
Assigning semantics to logic programs via selector generated models (Schwarz 2002/2003) extends several semantics, like the stable, the inflationary, and the stable generated semantics, to programs with arbitrary formulae in rule heads and bodies. We study this approach by means of a unifying framework for characterizing different logic programming semantics using level mappings (Hitzler and Wendt 200x, Hitzler 2003), thereby supporting the claim that this framework is very flexible and applicable to very diversely defined semantics.
The Semantic Web In One Day, York Sure, Pascal Hitzler, Andreas Eberhart, Rudi Studer
The Semantic Web In One Day, York Sure, Pascal Hitzler, Andreas Eberhart, Rudi Studer
Computer Science and Engineering Faculty Publications
To gain momentum, technologies for building private semantic Webs or parts of the World Wide semantic Web must become a commodity and easy to integrate. To determine just how far semantic Web technologies have come, we wanted to create a snapshot of what you could do by applying and assembling existing semantic Web technologies - in one day.
Taxaminer: An Experimentation Framework For Automated Taxonomy Bootstrapping, Vipul Kashyap, Cartic Ramakrishnan, Christopher Thomas, Amit P. Sheth
Taxaminer: An Experimentation Framework For Automated Taxonomy Bootstrapping, Vipul Kashyap, Cartic Ramakrishnan, Christopher Thomas, Amit P. Sheth
Kno.e.sis Publications
Construction of domain ontologies on the semantic web is a human and resource intensive process, efforts to reduce which are crucial for the Semantic Web to scale. We present a framework for automated taxonomy construction, that involves: (a) generation of a cluster hierarchy from a document corpus using statistical clustering and NLP techniques; (b) extraction of a topic hierarchy from this cluster hierarchy; and (c) assignment of labels to nodes in the topic hierarchy. Metrics for estimating topic hierarchy quality and parameters of an experimentation framework are identified. MEDLINE was the document corpus and MeSH thesaurus was the gold standard.
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.
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 …
Framework For Semantic Web Process Composition, Kaarthik Sivashanmugam, John A. Miller, Amit P. Sheth, Kunal Verma
Framework For Semantic Web Process Composition, Kaarthik Sivashanmugam, John A. Miller, Amit P. Sheth, Kunal Verma
Kno.e.sis Publications
Web services have the potential to revolutionize e-commerce by enabling businesses to interact with each other on the fly. To date, however, Web processes using Web services have been created mostly at the syntactic level. Current composition standards focus on building processes based on the interface description of the participating services. This rigid approach, with its strong coupling between the process and the interface of the participating services, does not allow businesses to dynamically change partners and services. As shown in this article, Web process composition techniques can be enhanced by using semantic process templates to capture the semantic requirements …
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.
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 …
Imposed Constraints On The Smith-Waterman Alignment Algorithm For Enhanced Modeling Of A Single-Molecule Dna Sequencer, Patrick G. Humphrey, Gregory R. Bashford
Imposed Constraints On The Smith-Waterman Alignment Algorithm For Enhanced Modeling Of A Single-Molecule Dna Sequencer, Patrick G. Humphrey, Gregory R. Bashford
Biomedical Imaging and Biosignal Analysis Laboratory
An effort has been underway to develop a system for de novo sequencing of single DNA molecules with very long reads. The system operates by optically detecting the passage of fluorescently tagged DNA bases through a detection zone. A successful system would be revolutionary with respect to speed, read length, cost and minimized laboratory infrastructure. An important part of system development is modeling of the detection process. In particular, predicting the expected error from a set of sequencing parameters is helpful in system design. This paper describes variations on the Smith-Waterman algorithm for subsequence alignment used in a single-molecule detection …
Guideview: Structured Multi-Modal Delivery Of Clinical Guidelines, M Sriram Iyengar, Subhajit Sarkar, Kira Bacal, Gregory Defouw, Phyllis Mcculley, Victor Hurst
Guideview: Structured Multi-Modal Delivery Of Clinical Guidelines, M Sriram Iyengar, Subhajit Sarkar, Kira Bacal, Gregory Defouw, Phyllis Mcculley, Victor Hurst
Faculty, Staff and Student Publications
GuideView is a system designed for structured, multi-modal delivery of clinical guidelines. Clinical instructions are presented simultaneously in voice, text, pictures or video or animations. Users navigate using mouse-clicks and voice commands. An evaluation study performed at a medical simulation laboratory found that voice and video instructions were rated highly.
The "Best K" For Entropy-Based Categorical Data Clustering, Keke Chen, Ling Liu
The "Best K" For Entropy-Based Categorical Data Clustering, Keke Chen, Ling Liu
Kno.e.sis Publications
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has satisfactorily addressed the important problem for categorical clustering – how can we determine the best K number of clusters for a categorical dataset? Since categorical data does not have the inherent distance function as the similarity measure, traditional cluster validation techniques based on the geometry shape and density distribution cannot be applied to answer this question. In this paper, we investigate the entropy property of the categorical data and propose a BkPlot method for determining …
A Uniform Approach To Logic Programming Semantics, Pascal Hitzler, Matthias Wendt
A Uniform Approach To Logic Programming Semantics, Pascal Hitzler, Matthias Wendt
Computer Science and Engineering Faculty Publications
Part of the theory of programming and nonymonotonic reasoning concerns the study of fixed-point semantics for these paradigms. Several different semantics have been proposed during the last two decades, and some have been more successful and acknowledged than others. The rationales behind those various semantics have been manifold, depending on one's point of view, which may be that of a programmer or inspired by commonsense reasoning, and consequently the constructions which lead to these semantics are technically very diverse, and the exact relationships between them have not yet been fully understood. In this paper, we present a conceptually new method, …