Digital Commons Network^™

Semantic Sensor Web, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Unsupervised Discovery Of Compound Entities For Relationship Extraction, Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang, Amit P. Sheth

Kno.e.sis Publications

In this paper we investigate unsupervised population of a biomedical ontology via information extraction from biomedical literature. Relationships in text seldom connect simple entities. We therefore focus on identifying compound entities rather than mentions of simple entities. We present a method based on rules over grammatical dependency structures for unsupervised segmentation of sentences into compound entities and relationships. We complement the rule-based approach with a statistical component that prunes structures with low information content, thereby reducing false positives in the prediction of compound entities, their constituents and relationships. The extraction is manually evaluated with respect to the UMLS Semantic Network …

Monetizing User Activity On Social Networks, Meenakshi Nagarajan, Kamal Baid, Amit P. Sheth, Shaojun Wang

Kno.e.sis Publications

No abstract provided.

Reasoning In Circumscriptive Alco, Stephan Grimm, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Non-monotonic extensions of description logics (DLs) allow for default and local closed-world reasoning and are an acknowledged desired feature for applications, e.g. in the Semantic Web. A recent approach to such an extension is based on McCarthy's circumscription, which rests on the principle of minimising the extension of selected predicates to locally close off dedicated parts of a domain model. While decidability and complexity results have been established in the literature, no practical algorithmisation for circumscriptive DLs has been proposed so far. In this paper, we present a tableaux calculus that can be used as a sound and complete decision …

Expressive Tractable Description Logics Based On Sroiq Rules, Markus Krotzsch, Sebastian Rudolph, Pascal Hitzler

Computer Science and Engineering Faculty Publications

We introduce description logic (DL) rules as a new rule-based formalism for knowledge representation in DLs. As a fragment of the Semantic Web Rule Language SWRL, DL rules allow for a tight integration with DL knowledge bases. In contrast to SWRL, however, the combination of DL rules with expressive description logics remains decidable, and we show that the DL SROIQ - the basis for the ongoing standardisation of OWL 2 - can completely internalise DL rules. On the other hand, DL rules capture many expressive features of SROIQ that are not available in simpler DLs yet. While reasoning in SROIQ …

Preliminary Results From A Holocene Record From Crystal Lake, Southwestern Ohio, Rebecca Teed, Leigh Deuter, Ashley Kesler, Graham Parker, Melissa Sparks

Earth and Environmental Sciences Faculty Publications

No abstract provided.

Strategic Importance Of Higher Education And Research In Positioning Gujarat For Global Competitiveness, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Degradation Of Chlorinated Ethenes In Mesocosms Simulating A Constructed Wetland, At Wpafb, Ohio, Dibyendu Mukherjee

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The main purpose of this research was to study the degradation of chlorinated ethenes in upwardflowing mesocosms, simulating a constructed wetland at Wright Patterson Air Force Base (WPAFB) in Dayton, Ohio. This research was intended to compare biogeochemical processes and PCE degradation occurring in the mesocosms and in the field site. This research also tries to look at the effects of vegetation and season on the degradation efficiency of the mesocosms. Twelve PVC column reactors were built within the greenhouse of Wright State University in September 2005 to simulate the hydraulic conditions of a constructed wetland at WPAFB. The columns …

A Coherent Well-Founded Model For Hybrid Mknf Knowledge Bases, Matthias Knorr, Jose Julio Alferes, Pascal Hitzler

Computer Science and Engineering Faculty Publications

With the advent of the Semantic Web, the question becomes important how to best combine open-world based ontology languages, like OWL, with closed-world rules paradigms. One of the most mature proposals for this combination is known as Hybrid MKNF knowledge bases [11], which is based on an adaptation of the stable model semantics to knowledge bases consisting of ontology axioms and rules. In this paper, we propose a well-founded semantics for such knowledge bases which promises to provide better efficiency of reasoning, which is compatible both with the OWL-based semantics and the traditional well-founded semantics for logic programs, and which …

Approximate Owl-Reasoning With Screech, Tuvshintur Tserendorj, Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Applications of expressive ontology reasoning for the Semantic Web require scalable algorithms for deducing implicit knowledge from explicitly given knowledge bases. Besides the development of more effi- cient such algorithms, awareness is rising that approximate reasoning solutions will be helpful and needed for certain application domains. In this paper, we present a comprehensive overview of the Screech approach to approximate reasoning with OWL ontologies, which is based on the KAON2 algorithms, facilitating a compilation of OWL DL TBoxes into Datalog, which is tractable in terms of data complexity. We present three different instantiations of the Screech approach, and report on …

Academic Data Series, 2007-08 Edition, Office Of The Controller, Wright State University

Academic Data Series

A compilation of statistics extracted from the University's Banner System and Ohio Department of Higher Education resources for 2007-2008.

Collaborative Ro1 With Ncbo Semantics And Services Enabled Problem Solving Environment For Trypanosoma Cruzi, Amit P. Sheth, Rick Tarleton, Prashant Doshi, Mark Musen, Natasha Noy, Satya S. Sahoo, Daniel B. Weatherly

Kno.e.sis Publications

No abstract provided.

Semantic Sensor Web, Amit P. Sheth, Satya S. Sahoo

Kno.e.sis Publications

Sensors are distributed across the globe leading to an avalanche of data about our environment. It is possible today to utilize networks of sensors to detect and identify a multitude of observations, from simple phenomena to complex events and situations. The lack of integration and communication between these networks, however, often isolates important data streams and intensifies the existing problem of too much data and not enough knowledge. With a view to addressing this problem, the semantic sensor Web (SSW) proposes that sensor data be annotated with semantic metadata that will both increase interoperability and provide contextual information essential for …

Semantic Provenance For Escience: Managing The Deluge Of Scientific Data, Satya S. Sahoo, Amit P. Sheth, Cory Andrew Henson

Kno.e.sis Publications

Provenance information in eScience is metadata that's critical to effectively manage the exponentially increasing volumes of scientific data from industrial-scale experiment protocols. Semantic provenance, based on domain-specific provenance ontologies, lets software applications unambiguously interpret data in the correct context. The semantic provenance framework for eScience data comprises expressive provenance information and domain-specific provenance ontologies and applies this information to data management. The authors' "two degrees of separation" approach advocates the creation of high-quality provenance information using specialized services. In contrast to workflow engines generating provenance information as a core functionality, the specialized provenance services are integrated into a scientific workflow …

A Flexible, Conformal Ultrasound Array For Medical Imaging, Weidong Zhang, Dwight Woolard, Elliott Brown, Boris Gelmont, Robert Trew

Physics Faculty Publications

An ultrasound imaging system is under development that features a flexible transducer that can be wrapped conformally around curved surfaces of the body. The device is intended to deliver high image quality without the need for mechanical scanning, and will benefit medical personnel with limited ultrasound training. A 2 x 8 element piezoelectric transducer prototype and 15.5 MHz imaging system have been built, and the system concept has been demonstrated by imaging a soft tissue phantom. The transducer design, imaging procedure, and preliminary image processing techniques are presented.

The Effect Of Intellectual Property Protection On Economic Growth, Andrew Jonathan Mahurin

Masters Culminating Experiences (1993-2011)

This paper tests whether stronger intellectual property protection is good for a country. It focuses on the overall effect of intellectual property protection on per capita economic growth. To measure the strength of intellectual property protection, I use the Ginarte-Park index. An education and an investment variable are also included in the models.

The models are based on simple linear regressions involving a cross-section of countries. The models consistently showed a negative correlation between intellectual property protection and per capita economic growth. Moreover, I tested to see if the effect is different in some countries than in others, based on …

Economic Development: The City Of West Carrollton's Pathway To Growth, Christian J. Hansen

Masters Culminating Experiences (1993-2011)

This report is an overview of an economic development internship with the City of West Carrollton, Ohio, a suburb of Dayton, Ohio. The first section explores the City’s administrative roles and structure. The second section contains a Strength, Weakness, Opportunity, and Threat (S.W.O.T.) analysis, which evaluates the City’s current economic factors. Next, the Location Quotient (L.Q.) method quantifies the area’s industry makeup. Summarized is the SWOT analysis and Location Quotient in a listing of industry recommendations based on economic growth trends. The third section is a discussion of Tax Increment Financing (TIF) as an economic development instrument. A cost versus …

Ceg 404/604-01: Wireless Sensor Networks, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 860-01: Object-Oriented Programming, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course motivates the need for object-oriented programming, and studies, in detail, object-oriented programming techniques, languages, and technology. The lectures will focus on the foundations of OOP, while the student presentations will focus on the applications and extensions of Object Technology.

Ceg 411/611-01: Microprocessor-Based System Design, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Hiv/Aids: Can We Get Any Lessons From Assessment In Zimbabwe Education?, Crispen Dirwai Ph.D.

Electronic Journal for Inclusive Education

HIV/AIDS is such a traumatizing experience not to be left to the medical fraternity alone, but to education as well. In the quest for a sustainable reduction in HIV prevalence rates in Less Developed Countries (LEDCs), a revisit on the role of inclusion of HIV in assessment is perceived crucial. There is no doubt HIV/AIDS is still claiming lives many in sub Saharan Africa, teachers and their students included hence the need for different platforms from which the issue can be talked about. Down playing the power of educational measurement in behavioral change is quite an unfortunate omission in itself. …

Expectation-Maximization Optical Tomosynthetic Volume Imaging, Philip M. Hanna

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Optical tomosynthetic imaging of 3-D objects from disparate 2-D images has been limited in the past by a lack of algorithmic enforcement of physical constraints, in particular within-scene obscuration and object self-occlusion. This paper presents a stochastic observation model of a tomosynthetic collection that explicitly includes an obscuration operator that is unknown by the sensor. The expectation-maximization algorithm is used to iteratively estimate the obscuration operator and to reconstruct the 3-D volume of interest. Explicit inclusion of obscuration effects greatly enhances the spatial and spectral accuracy of 3-D results without use of costly post-processing techniques. Performance metrics are introduced and …

Botminer: Clustering Analysis Of Network Traffic For Protocol- And Structure-Independent Botnet Detection, Guofei Gu, Roberto Perdisci, Junjie Zhang, Wenke Lee

Computer Science and Engineering Faculty Publications

Botnets are now the key platform for many Internet attacks, such as spam, distributed denial-of-service (DDoS), identity theft, and phishing. Most of the current botnet detection approaches work only on specific botnet command and control (C&C) protocols (e.g., IRC) and structures (e.g., centralized), and can become ineffective as botnets change their C&C techniques. In this paper, we present a general detection framework that is independent of botnet C&C protocol and structure, and requires no a priori knowledge of botnets (such as captured bot binaries and hence the botnet signatures, and C&C server names/addresses). We start from the definition and essential …

Learning Expressive Ontologies, Johanna Volker, Peter Haase, Pascal Hitzler

Computer Science and Engineering Faculty Publications

No abstract provided.

Hrests: An Html Microformat For Describing Restful Web Services, Jacek Kopecky, Karthik Gomadam, Tomas Vitvar

Kno.e.sis Publications

The Web 2.0 wave brings, among other aspects, the Programmable Web: increasing numbers of Web sites provide machine-oriented APIs and Web services. However, most APIs are only described with text in HTML documents. The lack of machine-readable API descriptions affects the feasibility of tool support for developers who use these services. We propose a microformat called hRESTS (HTML for RESTful Services) for machine-readable descriptions of Web APIs, backed by a simple service model. The hRESTS microformat describes main aspects of services, such as operations, inputs and outputs. We also present two extensions of hRESTS: SA-REST, which captures the facets of …

Joint Extraction Of Compound Entities And Relationships From Biomedical Literature, Cartic Ramakrishnan, Pablo N. Mendes, Rodrigo A.T.S. De Gama, Guilherme C.N. Ferreira, Amit P. Sheth

Kno.e.sis Publications

In this paper we identify some limitations of contemporary information extraction mechanisms in the context of biomedical literature. We present an extraction mechanism that generates structured representations of textual content. Our extraction mechanism achieves this by extracting compound entities, and relationships between them, occuring in text. A detailed evaluation of the relationship and compound entities extracted is presented. Our results show over 62% average precision across 8 relationship types tested with over 82% average precision for compound entity identification1.

Targeted Content Delivery For Social Media Content, Meenakshi Nagarajan, Kamal Baid, Amit P. Sheth, Shaojun Wang

Kno.e.sis Publications

Spotting contextually relevant keywords is fundamental to effective content suggestions on the Web. In this regard, misspellings, entity variations and off-topic discussions in content from Social Media pose unique challenges. Here, we present an algorithm that assists content delivery systems by identifying contextually relevant keywords and eliminating off-topic keywords. A preliminary user study over data from MySpace and Facebook clearly suggests the usefulness of our work in delivering more targeted content suggestions.

Traveling The Semantic Web Through Space, Theme And Time, Amit P. Sheth, Matthew Perry

Kno.e.sis Publications

In this installment of Semantics and Services, we further develop the idea of spatial, temporal, and thematic (STT) processing of semantic Web data and describe the Web infrastructure needed to support it. Starting from Ramesh Jain's vision of the EventWeb as a view of what's possible with a Web that better accommodates all three dimensions of event-related information (thematic, spatial, and temporal), we outline the architecture needed to support it and current research that aims to realize it.

Analysis Of First-Year Student Perceptions Regarding The Effectiveness Of Uvc 101 Classes On Academic Achievement, Social Success, And Personal Growth And Development Based On High School G.P.A., Amanda Sue Hummel

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First-year experience initiatives have been underway in a variety of forms. Today, first-year seminar classes are popular transitional aids for new college students throughout the country. First-year seminars typically have common learning goals for new students. Academic achievement, social success, and personal growth and development were the learning goals assessed during this study. The purpose and scope of this study was to analyze first-year students and their perceptions regarding the effectiveness of UVC 101 classes on academic achievement, social success, and personal growth and development based on their self-reported high school grade point averages. Students at a large four-year public …

Percolation-Based Techniques For Upscaling The Hydraulic Conductivity Of Semi-Realistic Geological Media, Bilal Idriss

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I tested three schemes for "upscaling" the hydraulic conductivity (K) on aquifers with bimodal K distributions. This bimodality (e.g., sand and mud deposits) was intended to capture typical geological conditions. Results were tested with a numerical model. Upscaling techniques used were inspired by schemes interpolating between arithmetic and harmonic means, but are based on percolation theory: 1) Critical path analysis (CPA), 2) Percolation path analysis (PPA, or standard scaling), and a novel scaling approach. Models chosen were both spatially correlated and uncorrelated, with important differences in critical percolation probabilities, Pc. Volume fractions Ps and 1-Ps (with Ps = sand volume …