Approximate Instance Retrieval On Ontologies,
2010
Wright State University - Main Campus
Approximate Instance Retrieval On Ontologies, Tuvshintur Tserendorj, Stephan Grimm, Pascal Hitzler
Computer Science and Engineering Faculty Publications
With the development of more expressive description logics (DLs) for the Web Ontology Language OWL the question arises how we can properly deal with the high computational complexity for efficient reasoning. In application cases that require scalable reasoning with expressive ontologies, non-standard reasoning solutions such as approximate reasoning are necessary to tackle the intractability of reasoning in expressive DLs. In this paper, we are concerned with the approximation of the reasoning task of instance retrieval on DL knowledge bases, trading correctness of retrieval results for gain of speed. We introduce our notion of an approximate concept extension and we provide …
Nominal Schemas For Integrating Rules And Ontologies,
2010
Wright State University - Main Campus
Nominal Schemas For Integrating Rules And Ontologies, Frederick Maier, Adila A. Krisnadhi, Pascal Hitzler
Computer Science and Engineering Faculty Publications
We propose a description-logic style extension of OWL DL, which includes DL-safe variable SWRL and seamlessly integrates datalog rules. Our language also sports a tractable fragment, which we call ELP 2, covering OWL EL, OWL RL, most of OWL QL, and variable restricted datalog.
Semantic Web – Interoperability, Usability, Applicability,
2010
Wright State University - Main Campus
Semantic Web – Interoperability, Usability, Applicability, Pascal Hitzler, Krzysztof Janowicz
Computer Science and Engineering Faculty Publications
No abstract provided.
A Qualitative Optimization Technique For Biophysical Neuron Models With Many Parameters,
2010
Georgia State University
A Qualitative Optimization Technique For Biophysical Neuron Models With Many Parameters, Robert Clewley, Mirza Dobric
Neuroscience Institute Faculty Publications
We present a novel computational technique that enables more efficient optimization of qualitative features in biophysical neural models.
Food Consumption Trends And Drivers,
2010
Technological University Dublin
Food Consumption Trends And Drivers, John Kearney
Articles
A picture of food consumption (availability) trends and projections to 2050, both globally and for different regions of the world along with the drivers largely responsible for these observed consumption trends are the subject of this review. Throughout the world, major shifts in dietary patterns are occurring, even in the consumption of basic staples towards more diversified diets. Accompanying these changes in food consumption at a global and regional level have been considerable health consequences. Populations in those countries undergoing rapid transition are experiencing nutritional transition. The diverse nature of this transition may be the result of differences in socio …
Sensor Data And Perception: Can Sensors Play 20 Questions,
2010
Wright State University - Main Campus
Sensor Data And Perception: Can Sensors Play 20 Questions, Cory Andrew Henson
Kno.e.sis Publications
Currently, there are many sensors collecting information about our environment, leading to an overwhelming number of observations that must be analyzed and explained in order to achieve situation awareness. As perceptual beings, we are also constantly inundated with sensory data, yet we are able to make sense of our environment with relative ease. Why is the task of perception so easy for us, and so hard for machines; and could this have anything to do with how we play the game 20 Questions?
Twitris 2.0 : Semantically Empowered System For Understanding Perceptions From Social Data,
2010
Wright State University - Main Campus
Twitris 2.0 : Semantically Empowered System For Understanding Perceptions From Social Data, Ashutosh Sopan Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Anantharam, Ajith H. Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit P. Sheth
Kno.e.sis Publications
We present Twitris 2.0, a Semantic Web application that facilitates understanding of social perceptions by Semantics-based processing of massive amounts of event-centric data. Twitris 2.0 addresses challenges in large scale processing of social data, preserving spatio-temporal-thematic properties. Twitris 2.0 also covers context based semantic integration of multiple Web resources and expose semantically enriched social data to the public domain. Semantic Web technologies enable the systematic integration and analysis abilities.
Automated Isolation Of Translational Efficiency Bias That Resists The Confounding Effect Of Gc(At)-Content,
2010
Wright State University - Main Campus
Automated Isolation Of Translational Efficiency Bias That Resists The Confounding Effect Of Gc(At)-Content, Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
Kno.e.sis Publications
Genomic sequencing projects are an abundant source of information for biological studies ranging from the molecular to the ecological in scale; however, much of the information present may yet be hidden from casual analysis. One such information domain, trends in codon usage, can provide a wealth of information about an organism's genes and their expression. Degeneracy in the genetic code allows more than one triplet codon to code for the same amino acid, and usage of these codons is often biased such that one or more of these synonymous codons is preferred. Detection of this bias is an important tool …
Loqus: Linked Open Data Sparql Querying System,
2010
Wright State University - Main Campus
Loqus: Linked Open Data Sparql Querying System, Prateek Jain, Kunal Verma, Peter Z. Yeh, Pascal Hitzler, Amit P. Sheth
Kno.e.sis Publications
The LOD cloud is gathering a lot of momentum, with the number of contributors growing manifold. Many prominent data providers have submitted and linked their data to other dataset with the help of manual mappings. The potential of the LOD cloud is enormous ranging from challenging AI issues such as open domain question answering to automated knowledge discovery. We believe that there is not enough technology support available to effectively query the LOD cloud. To this effect, we present a system called Linked Open Data SPARQL Querying System (LOQUS), which automatically maps users queries written in terms of a conceptual …
Computing For The Human Experience: Semantics-Empowered Sensors, Services, And Social Computing On The Ubiquitous Web,
2010
Wright State University - Main Campus
Computing For The Human Experience: Semantics-Empowered Sensors, Services, And Social Computing On The Ubiquitous Web, Amit P. Sheth
Kno.e.sis Publications
People are on the verge of an era in which the human experience can be enriched in ways they couldn't have imagined two decades ago. Rather than depending on a single technology, people progressed with several whose semantics-empowered convergence and integration will enable us to capture, understand, and reapply human knowledge and intellect. Such capabilities will consequently elevate our technological ability to deal with the abstractions, concepts, and actions that characterize human experiences. This will herald computing for human experience (CHE). The CHE vision is built on a suite of technologies that serves, assists, and cooperates with humans to nondestructively …
A Qualitative Examination Of Topical Tweet And Retweet Practices,
2010
Wright State University - Main Campus
A Qualitative Examination Of Topical Tweet And Retweet Practices, Meenakshi Nagarajan, Hemant Purohit, Amit P. Sheth
Kno.e.sis Publications
This work contributes to the study of retweet behavior on Twitter surrounding real-world events. We analyze over a million tweets pertaining to three events, present general tweet properties in such topical datasets and qualitatively analyze the properties of the retweet behavior surrounding the most tweeted/viral content pieces. Findings include a clear relationship between sparse/dense retweet patterns and the content and type of a tweet itself; suggesting the need to study content properties in link-based diffusion models.
A Study In Hadoop Streaming With Matlab For Nmr Data Processing,
2010
Wright State University - Main Campus
A Study In Hadoop Streaming With Matlab For Nmr Data Processing, Kalpa Gunaratna, Paul E. Anderson, Ajith Harshana Ranabahu, Amit P. Sheth
Kno.e.sis Publications
Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud computing for Nuclear Magnetic Resonance (NMR)data analysis which normally consists of large amounts of data. Biologists often use third party or commercial software for ease of use. Enabling the capability to use this kind of software in a Cloud will be highly advantageous in many ways. Scripting languages especially designed for clouds may not have the flexibility biologists need for their purposes. Although this is true, they are familiar with special software packages that allow …
Power Of Clouds In Your Pocket: An Efficient Approach For Cloud Mobile Hybrid Application Development,
2010
Wright State University - Main Campus
Power Of Clouds In Your Pocket: An Efficient Approach For Cloud Mobile Hybrid Application Development, Ashwin Manjunatha, Ajith Harshana Ranabahu, Amit P. Sheth, Krishnaprasad Thirunarayan
Kno.e.sis Publications
The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resources, commonly referred to as Cloud computing. However, taking full advantage of this mobile and cloud computing landscape, especially for the data intensive domains has been hampered by the many heterogeneities that exist in the mobile space as well as the Cloud space. Our research focuses on exploiting the capabilities of the mobile and cloud landscape by defining a new class of applications called cloud mobile hybrid (CMH) applications and a Domain Specific …
Continuous Semantics To Analyze Real-Time Data,
2010
Wright State University - Main Campus
Continuous Semantics To Analyze Real-Time Data, Amit P. Sheth, Christopher Thomas, Pankaj Mehra
Kno.e.sis Publications
Increasingly we are presented with dynamic domains involved in social, mobile, and sensor webs. Such domains are spontaneous (arising suddenly), follow a period of rapid evolution, involving real-time or near real-time data, involve many distributed participants and diverse viewpoints involving topical or contentious subjects, and involve feature context colored by local knowledge and sociocultural backgrounds. This article present continuous semantics can help us model such dynamic domains and analyze the related real-time data. Capabilities include crating dynamic domain model by mining social data, and using dynamic models for semantic analysis of real-time data.
Sensor Discovery On Linked Data,
2010
Wright State University - Main Campus
Sensor Discovery On Linked Data, Josh Pschorr, Cory Andrew Henson, Harshal Kamlesh Patni, Amit P. Sheth
Kno.e.sis Publications
There has been a drive recently to make sensor data accessible on the Web. However, because of the vast number of sensors collecting data about our environment, finding relevant sensors on the Web is a non-trivial challenge. In this paper, we present an approach to discovering sensors through a standard service interface over Linked Data. This is accomplished with a semantic sensor network middleware that includes a sensor registry on Linked Data and a sensor discovery service that extends the OGC Sensor Web Enablement. With this approach, we are able to access and discover sensors that are positioned near named-locations …
Understanding Events Through Analysis Of Social Media,
2010
Wright State University - Main Campus
Understanding Events Through Analysis Of Social Media, Amit P. Sheth, Hemant Purohit, Ashutosh Sopan Jadhav, Pavan Kapanipathi, Lu Chen
Kno.e.sis Publications
Users are sharing vast amounts of social data through social networking platforms accessible by Web and increasingly via mobile devices. This opens an exciting opportunity to extract social perceptions as well as obtain insights relevant to events around us. We discuss the significant need and opportunity for analyzing event-centric user generated content on social networks, present some of the technical challenges and our approach to address them. This includes aggregating social data related to events of interest, along with Web resources (news, Wikipedia pages, multimedia) related to an event of interest, and supporting analysis along spatial, temporal, thematic, and sentiment …
Provenance Context Entity (Pace): Scalable Provenance Tracking For Scientific Rdf Data,
2010
Wright State University - Main Campus
Provenance Context Entity (Pace): Scalable Provenance Tracking For Scientific Rdf Data, Satya S. Sahoo, Olivier Bodenreider, Pascal Hitzler, Amit P. Sheth, Krishnaprasad Thirunarayan
Kno.e.sis Publications
The Resource Description Framework (RDF) format is being used by a large number of scientific applications to store and disseminate their datasets. The provenance information, describing the source or lineage of the datasets, is playing an increasingly significant role in ensuring data quality, computing trust value of the datasets, and ranking query results. Current provenance tracking approaches using the RDF reification vocabulary suffer from a number of known issues, including lack of formal semantics, use of blank nodes, and application-dependent interpretation of reified RDF triples. In this paper, we introduce a new approach called Provenance Context Entity (PaCE) that uses …
Mobicloud - Making Clouds Reachable: A Toolkit For Easy And Efficient Development Of Customized Cloud Mobile Hybrid Applications,
2010
Wright State University - Main Campus
Mobicloud - Making Clouds Reachable: A Toolkit For Easy And Efficient Development Of Customized Cloud Mobile Hybrid Applications, Ashwin Manjunatha, Ajith Harshana Ranabahu, Amit P. Sheth, Krishnaprasad Thirunarayan
Kno.e.sis Publications
The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices, as well as seemingly unlimited, utility style, pay as you go computing resources, commonly referred to as Cloud computing. However, taking full advantage of this mobile and cloud computing landscape, especially for the data intensive domains, has been hampered by the many heterogeneities that exist in the mobile space, as well as the Cloud space. Our research attempts to exploit the capabilities of the mobile and cloud landscape by introducing MobiCloud, an online toolkit to efficiently develop Cloud-mobile hybrid (CMH) applications. We define a CMH …
From Questions To Effective Answers: On The Utility Of Knowledge-Driven Querying Systems For Life Sciences Data,
2010
Wright State University - Main Campus
From Questions To Effective Answers: On The Utility Of Knowledge-Driven Querying Systems For Life Sciences Data, Amir H. Asiaee, Prashant Doshi, Todd Minning, Satya S. Sahoo, Priti Parikh, Amit P. Sheth, Rick L. Tarleton
Kno.e.sis Publications
We compare two distinct approaches for querying data in the context of the life sciences. The first approach utilizes conventional databases to store the data and intuitive form-based interfaces to facilitate easy querying of the data. These interfaces could be seen as implementing a set of 'pre-canned' queries commonly used by the life science researchers that we study. The second approach is based on semantic Web technologies and is knowledge (model) driven. It utilizes a large OWL ontology and same datasets as before but associated as RDF instances of the ontology concepts. An intuitive interface is provided that allows the …
Genbank,
2010
United States National Library of Medicine
Genbank, Dennis A. Benson, Ilene Karasch-Mizrachi, David J. Lipman, James Ostell, Eric W. Sayers
Harold W. Manter Laboratory: Library Materials
GenBank(R) is a comprehensive database that contains publicly available nucleotide sequences for more than 380,000 organisms named at the genus level or lower, obtained primarily through submissions from individual laboratories and batch submissions from large-scale sequencing projects, including whole genome shotgun (WGS) and environmental sampling projects. Most submissions are made using the web-based BankIt or standalone Sequin programs, and accession numbers are assigned by GenBank staff upon receipt. Daily data exchange with the European Nucleotide Archive (ENA) and the DNA Data Bank of Japan (DDBJ) ensures worldwide coverage. GenBank is accessible through the NCBI Entrez retrieval system that integrates data …
