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Articles 661 - 690 of 4588
Full-Text Articles in Communication
The Guardian, February 6, 2013, Wright State University Student Body
The Guardian, February 6, 2013, Wright State University Student Body
The Guardian Student Newspaper
Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
The Guardian, January 30, 2013, Wright State University Student Body
The Guardian, January 30, 2013, Wright State University Student Body
The Guardian Student Newspaper
Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
Wright State University Libraries Access Newsletter Winter 2013, Wright State University Libraries
Wright State University Libraries Access Newsletter Winter 2013, Wright State University Libraries
Access Newsletter
A four page newsletter created by Wright State University Libraries that addresses the current affairs of the Libraries.
What Kind Of #Conversation Is Twitter? Mining #Psycholinguistic Cues For Emergency Coordination, Hemant Purohit, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John M. Flach, Shreyansh Bhatt
What Kind Of #Conversation Is Twitter? Mining #Psycholinguistic Cues For Emergency Coordination, Hemant Purohit, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John M. Flach, Shreyansh Bhatt
Kno.e.sis Publications
The information overload created by social media messages in emergency situations challenges response organizations to find targeted content and users. We aim to select useful messages by detecting the presence of conversation as an indicator of coordinated citizen action. Using simple linguistic indicators associated with conversation analysis in social science, we model the presence of conversation in the communication landscape of Twitter in a large corpus of 1.5M tweets for various disaster and non-disaster events spanning different periods, lengths of time and varied social significance. Within Replies, Retweets and tweets that mention other Twitter users, we found that domain-independent, linguistic …
The Guardian, January 23, 2013, Wright State University Student Body
The Guardian, January 23, 2013, Wright State University Student Body
The Guardian Student Newspaper
Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
The Guardian, January 16, 2013, Wright State University Student Body
The Guardian, January 16, 2013, Wright State University Student Body
The Guardian Student Newspaper
Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
The Guardian, January 9, 2013, Wright State University Student Body
The Guardian, January 9, 2013, Wright State University Student Body
The Guardian Student Newspaper
Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
A Hybrid Approach To Finding Relevant Social Media Content For Complex Domain Specific Information Needs, Delroy H. Cameron, Amit P. Sheth, Nishita Jaykumar, Gaurish Anand, Krishnaprasad Thirunarayan, Gary Alan Smith
A Hybrid Approach To Finding Relevant Social Media Content For Complex Domain Specific Information Needs, Delroy H. Cameron, Amit P. Sheth, Nishita Jaykumar, Gaurish Anand, Krishnaprasad Thirunarayan, Gary Alan Smith
Kno.e.sis Publications
While contemporary semantic search systems offer to improve classical keyword-based search, they are not always adequate for complex, domain specific information needs. Some complex search situations require knowledge of both ontological concepts as well as 'intelligible constructs' not typically modeled in ontologies. Intelligible constructs convey essential information, which may be important to the holistic information needs of information seekers. Such constructs may include notions of intensity, frequency, interval, dosage, emotion, sentiment, equivalence, synonymy, negation, parts-of-speech, etc. However, few search systems utilize both structured background knowledge (ontologies) and the aforementioned knowledge for query interpretation in domain specific searches. Instead, there is …
Traffic Analytics Using Probabilistic Graphical Models Enhanced With Knowledge Bases, Pramod Anantharam, Krishnaprasad Thirunarayan, Amit P. Sheth
Traffic Analytics Using Probabilistic Graphical Models Enhanced With Knowledge Bases, Pramod Anantharam, Krishnaprasad Thirunarayan, Amit P. Sheth
Kno.e.sis Publications
Graphical models have been successfully used to deal with uncertainty, incompleteness, and dynamism within many domains. These models built from data often ignore preexisting declarative knowledge about the domain in the form of ontologies and Linked Open Data (LOD) that is increasingly available on the web. In this paper, we present an approach to leverage such 'top-down' domain knowledge to enhance 'bottom-up' building of graphical models. Specifically, we propose three operations on the graphical model structure to enrich it with nodes, edges, and edge directions. We illustrate the enrichment process using traffic data from 511.org and declarative knowledge from ConceptNet. …
Advancing Data Reuse In Phyloinformatics Using An Ontology-Driven Semantic Web Approach, Maryam Panahiazar, Amit P. Sheth, Ajith Harshana Ranabahu, Rutger Vos, Jim Leebens-Mack
Advancing Data Reuse In Phyloinformatics Using An Ontology-Driven Semantic Web Approach, Maryam Panahiazar, Amit P. Sheth, Ajith Harshana Ranabahu, Rutger Vos, Jim Leebens-Mack
Kno.e.sis Publications
Phylogenetic analyses can resolve historical relationships among genes, organisms or higher taxa. Understanding such relationships can elucidate a wide range of biological phenomena, including, for example, the importance of gene and genome duplications in the evolution of gene function, the role of adaptation as a driver of diversification, or the evolutionary consequences of biogeographic shifts. Phyloinformaticists are developing data standards, databases and communication protocols (e.g. Application Programming Interfaces, APIs) to extend the accessibility of gene trees, species trees, and the metadata necessary to interpret these trees, thus enabling researchers across the life sciences to reuse phylogenetic knowledge. Specifically, Semantic Web …
Twitris: Socially Influenced Browsing, Ashutosh Sopan Jadhav, Wenbo Wang, Raghava Mutharaju, Pramod Anantharam, Vinh Nguyen, Amit P. Sheth, Karthik Gomadam, Meenakshi Nagarajan, Ajith Harshana Ranabahu
Twitris: Socially Influenced Browsing, Ashutosh Sopan Jadhav, Wenbo Wang, Raghava Mutharaju, Pramod Anantharam, Vinh Nguyen, Amit P. Sheth, Karthik Gomadam, Meenakshi Nagarajan, Ajith Harshana Ranabahu
Kno.e.sis Publications
In this paper, we present Twitris, a semantic Web application that facilitates browsing for news and information, using social perceptions as the fulcrum. In doing so we address challenges in large scale crawling, processing of real time information, and preserving spatio-temporal-thematic properties central to observations pertaining to real time events. We extract metadata about events from Twitter and bring related news and Wikipedia articles to the user. In developing Twitris, we have used the DBPedia ontology.
Adaptive Semantic Annotation Of Entity And Concept Mentions In Text, Pablo N. Mendes
Adaptive Semantic Annotation Of Entity And Concept Mentions In Text, Pablo N. Mendes
Kno.e.sis Publications
The recent years have seen an increase in interest for knowledge repositories that are useful across applications, in contrast to the creation of ad hoc or application-specific databases.
These knowledge repositories figure as a central provider of unambiguous identifiers and semantic relationships between entities. As such, these shared entity descriptions serve as a common vocabulary to exchange and organize information in different formats and for different purposes. Therefore, there has been remarkable interest in systems that are able to automatically tag textual documents with identifiers from shared knowledge repositories so that the content in those documents is described in a …
Logical Linked Data Compression, Amit Krishna Joshi, Pascal Hitzler, Guozhu Dong
Logical Linked Data Compression, Amit Krishna Joshi, Pascal Hitzler, Guozhu Dong
Computer Science and Engineering Faculty Publications
Linked data has experienced accelerated growth in recent years. With the continuing proliferation of structured data, demand for RDF compression is becoming increasingly important. In this study, we introduce a novel lossless compression technique for RDF datasets, called Rule Based Compression (RB Compression) that compresses datasets by generating a set of new logical rules from the dataset and removing triples that can be inferred from these rules. Unlike other compression techniques, our approach not only takes advantage of syntactic verbosity and data redundancy but also utilizes semantic associations present in the RDF graph. Depending on the nature of the dataset, …
Research And Pedagogy In Business Analytics: Opportunities And Illustrative Examples, Ramesh Sharda, Daniel Asamoah, Natraj Ponna
Research And Pedagogy In Business Analytics: Opportunities And Illustrative Examples, Ramesh Sharda, Daniel Asamoah, Natraj Ponna
Management Information Systems Faculty Publications
In recent times, business analytics and big data have gained momentum both in industry practice and academic research. The objective of this paper is to provide both a research and teaching introduction to business analytics in the context of both current and prospective perspective of the business analytics domain. It begins by providing a quick overview of the three types of analytics. To assist the future analytics professionals, we identify, group and discuss nine different participants of the analytics industry into clusters. We then include a brief description of some current research projects under way in our team. We also …
Book Review: Drawing Card, Scott D. Peterson
Book Review: Drawing Card, Scott D. Peterson
Communication Faculty Publications
Although Drawing Card employs many of the standard conventions of a baseball novel, Mills' book also makes significant and surprising departures. Instead of telling the story of a player's experience in the game, the narrative derives primarily from the consequences of a dream denied. The novel also serves as a cultural history of Cleveland of the 1930s and 1940s with side trips to Sicily at various key points in the island's history.
The Guardian, December 12, 2012, Wright State University Student Body
The Guardian, December 12, 2012, Wright State University Student Body
The Guardian Student Newspaper
Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
The Guardian, December 5, 2012, Wright State University Student Body
The Guardian, December 5, 2012, Wright State University Student Body
The Guardian Student Newspaper
Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
User Taglines: Alternative Presentations Of Expertise And Interest In Social Media, Hemant Purohit, Alex Dow, Omar Alonso, Lei Duan, Kevin Haas
User Taglines: Alternative Presentations Of Expertise And Interest In Social Media, Hemant Purohit, Alex Dow, Omar Alonso, Lei Duan, Kevin Haas
Kno.e.sis Publications
Web applications are increasingly showing recommended users from social media along with some descriptions, an attempt to show relevancy - why they are being shown. For example, Twitter search for a topical keyword shows expert twitterers on the side for 'whom to follow'. Google+ and Facebook also recommend users to follow or add to friend circle. Popular Internet newspaper- The Huffington Post shows Twitter influencers/ experts on the side of an article for authoritative relevant tweets. The state of the art shows user profile bios as summary for Twitter experts, but it has issues with length constraint imposed by user …
Are Twitter Users Equal In Predicting Elections? A Study Of User Groups In Predicting 2012 U.S. Republican Primaries, Lu Chen, Wenbo Wang, Amit P. Sheth
Are Twitter Users Equal In Predicting Elections? A Study Of User Groups In Predicting 2012 U.S. Republican Primaries, Lu Chen, Wenbo Wang, Amit P. Sheth
Kno.e.sis Publications
Existing studies on predicting election results are under the assumption that all the users should be treated equally. However, recent work [14] shows that social media users from different groups (e.g., “silent majority” vs. “vocal minority”) have significant differences in the generated content and tweeting behavior. The effect of these differences on predicting election results has not been exploited yet. In this paper, we study the spectrum of Twitter users who participate in the on-line discussion of 2012 U.S. Republican Presidential Primaries, and examine the predictive power of different user groups (e.g., highly engaged users vs. lowly engaged users, right-leaning …
The Ssn Ontology Of The W3c Semantic Sensor Network Incubator Group, Michael Compton, Payam Barnaghi, Luis Bermudez, Raul Garcia-Castro, Oscar Corcho, Simon Cox, John Graybeal, Manfred Hauswirth, Cory Andrew Henson, Arthur Herzog, Vincent Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin Page, Alexandre Passant, Amit P. Sheth, Kerry Taylor
The Ssn Ontology Of The W3c Semantic Sensor Network Incubator Group, Michael Compton, Payam Barnaghi, Luis Bermudez, Raul Garcia-Castro, Oscar Corcho, Simon Cox, John Graybeal, Manfred Hauswirth, Cory Andrew Henson, Arthur Herzog, Vincent Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin Page, Alexandre Passant, Amit P. Sheth, Kerry Taylor
Kno.e.sis Publications
The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe sensors and observations — the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. The SSN ontology can describe sensors in terms of capabilities, measurement processes, observations and deployments. This article describes the SSN ontology. It further gives an example and describes the use of the ontology in recent research projects.
The Guardian, November 28, 2012, Wright State University Student Body
The Guardian, November 28, 2012, Wright State University Student Body
The Guardian Student Newspaper
Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
The Guardian, November 14, 2012, Wright State University Student Body
The Guardian, November 14, 2012, Wright State University Student Body
The Guardian Student Newspaper
Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
Demonstration: Dynamic Sensor Registration And Semantic Processing For Ad-Hoc Mobile Environments (Semmob), Pramod Anantharam, Gary Alan Smith, Josh Pschorr, Krishnaprasad Thirunarayan, Amit P. Sheth
Demonstration: Dynamic Sensor Registration And Semantic Processing For Ad-Hoc Mobile Environments (Semmob), Pramod Anantharam, Gary Alan Smith, Josh Pschorr, Krishnaprasad Thirunarayan, Amit P. Sheth
Kno.e.sis Publications
SemMOB enables dynamic registration of sensors via mobile devices, search, and near real-time inference over sensor observations in ad-hoc mobile environments (e.g., fire fighting). We demonstrate SemMOB in the context of an emergency response use case that requires automatic and dynamic registrations of sensor devices and annotation of sensor observations, decoding of latitude-longitude information in terms of human sensible names, fusion and abstraction of sensor values using background knowledge, and their visualization using mash-up.
Using Social Influence To Predict Subscriber Churn, Derek Doran, Veena Mendiratta, Chitra Phadke, Dan Kushnir, Huseyin Uzunalioglu
Using Social Influence To Predict Subscriber Churn, Derek Doran, Veena Mendiratta, Chitra Phadke, Dan Kushnir, Huseyin Uzunalioglu
Kno.e.sis Publications
The saturation of mobile phone markets has resulted in rising costs for operators to obtain new customers. These operators thus focus their energies on identifying users that will churn so they can be targeted for retention campaigns. Typical churn prediction algorithms identify churners based on service usage metrics, network performance indicators, and demographic information. Social and peer-influence to churn, however, is usually not considered. In this paper, we describe a new churn prediction algorithm that incorporates the influence churners spread to their social peers. Using data from a major service provider, we show that social influence improves churn prediction and …
Understanding User Triads On Facebook, Derek Doran, Alberta De La Rosa Algarin, Swapna S. Gokhale
Understanding User Triads On Facebook, Derek Doran, Alberta De La Rosa Algarin, Swapna S. Gokhale
Kno.e.sis Publications
Contemporary approaches that analyze user behavior on online social networks only consider interactions among dyads, which are pairs of directly connected users. A large body of sociological work, however, suggests that mutual connections among users can influence their activities, leading to differences between two- and three-way interactions. This paper explores the dynamics of triads among Facebook users based on the wall posts from the New Orleans regional network. Initially, each connection is categorized as a close friendship or an acquiantance, contingent on the number of wall posts exchanged. Subsequently, the impact of different types of connections comprising triads is examined …
The Guardian, November 7, 2012, Wright State University Student Body
The Guardian, November 7, 2012, Wright State University Student Body
The Guardian Student Newspaper
Twelve page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
Wright State University Men's Basketball Media Guide 2012-2013, Wright State University Athletics
Wright State University Men's Basketball Media Guide 2012-2013, Wright State University Athletics
Athletics Publications
A media guide for Wright State University's 2012-2013 Men's Basketball team. This guide includes photographs, player stats, game results, and records.
How I Would Like Semantic Web To Be, For My Children., Raghava Mutharaju
How I Would Like Semantic Web To Be, For My Children., Raghava Mutharaju
Kno.e.sis Publications
Semantic Web, since its inception, has gone through lot of developments in its relatively nascent existence; right from people's perception, to the standards and to its adoption by the industry and more importantly by the scientific community. This impressive growth only seems to increase. In this paper, we project this growth to the next 10 years and highlight some of the facets on which Semantic Web could have a major impact on. We also present the challenges that Semantic Web and its community has to deal with in order to get there.
Wright State University Women's Basketball Media Guide 2012-2013, Wright State University Athletics
Wright State University Women's Basketball Media Guide 2012-2013, Wright State University Athletics
Athletics Publications
A media guide for Wright State University's 2012-2013 Women's Basketball team. This guide includes photographs, player stats, game results, and records.
An Efficient Bit Vector Approach To Semantics-Based Machine Perception In Resource-Constrained Devices, Cory Andrew Henson, Krishnaprasad Thirunarayan, Amit P. Sheth
An Efficient Bit Vector Approach To Semantics-Based Machine Perception In Resource-Constrained Devices, Cory Andrew Henson, Krishnaprasad Thirunarayan, Amit P. Sheth
Kno.e.sis Publications
The primary challenge of machine perception is to define efficient computational methods to derive high-level knowledge from low-level sensor observation data. Emerging solutions are using ontologies for expressive representation of concepts in the domain of sensing and perception, which enable advanced integration and interpretation of heterogeneous sensor data. The computational complexity of OWL, however, seriously limits its applicability and use within resource-constrained environments, such as mobile devices. To overcome this issue, we employ OWL to formally define the inference tasks needed for machine perception – explanation and discrimination – and then provide efficient algorithms for these tasks, using bit-vector encodings …