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Articles 1021 - 1050 of 4588
Full-Text Articles in Communication
Mediatability: Estimating The Degree Of Human Involvement In Xml Schema Mediation, Karthik Gomadam, Ajith Harshana Ranabahu, Lakshmish Ramaswamy, Amit P. Sheth, Kunal Verma
Mediatability: Estimating The Degree Of Human Involvement In Xml Schema Mediation, Karthik Gomadam, Ajith Harshana Ranabahu, Lakshmish Ramaswamy, Amit P. Sheth, Kunal Verma
Kno.e.sis Publications
Mediation and integration of data are significant challenges because the number of services on the Web, and heterogeneities in their data representation, continue to increase rapidly. To address these challenges we introduce a new measure, mediatability, which is a quantifiable and computable metric for the degree of human involvement in XML schema mediation. We present an efficient algorithm to compute mediatability and an experimental study to analyze how semantic annotations affect the ease of mediating between two schemas. We validate our approach by comparing mediatability scores generated by our system with user-perceived difficulty. We also evaluate the scalability of our …
An Xml-Based Approach To Handling Tables In Documents, Krishnaprasad Thirunarayan, Trivikram Immaneni
An Xml-Based Approach To Handling Tables In Documents, Krishnaprasad Thirunarayan, Trivikram Immaneni
Kno.e.sis Publications
We explore application of XML technology for handling tables in legacy semi-structured documents. Specifically, we analyze annotating heterogeneous documents containing tables to obtain a formalized XML Master document that improves traceability (hence easing verification and update) and enables manipulation using XSLT stylesheets. This approach is useful when table instances far outnumber distinct table types because the effort required to annotate a table instance is relatively less compared to formalizing table processing that respects table’s semantics. This work is also relevant for authoring new documents with tables that should be accessible to both humans and machines.
Applications Of Voting Theory To Information Mashups, Alfredo Alba, Varun Bhagwan, Julia Grace, Daniel Gruhl, Kevin Haas, Meenakshi Nagarajan, Jan Pieper, Christine Robson, Nachiketa Sahoo
Applications Of Voting Theory To Information Mashups, Alfredo Alba, Varun Bhagwan, Julia Grace, Daniel Gruhl, Kevin Haas, Meenakshi Nagarajan, Jan Pieper, Christine Robson, Nachiketa Sahoo
Kno.e.sis Publications
Blogs, discussion forums and social networking sites are an excellent source for people's opinions on a wide range of topics. We examine the application of voting theory to "information mashups" - the combining and summarizing of data from the multitude of often-conflicting sources. This paper presents an information mashup in the music domain: a Top 10 artist chart based on user comments and listening behavior from several Web communities. We consider different voting systems as algorithms to combine opinions from multiple sources and evaluate their effectiveness using social welfare functions. Different voting schemes are found to work better in some …
Dependence Of Binary Associations On Co-Occurrence Granularity In News Documents, Krishnaprasad Thirunarayan, Trivikram Immaneni, Mastan Vali Shaik
Dependence Of Binary Associations On Co-Occurrence Granularity In News Documents, Krishnaprasad Thirunarayan, Trivikram Immaneni, Mastan Vali Shaik
Kno.e.sis Publications
We describe and formalize an approach to correlate binary associations (such as between entities and events, between persons and events, etc.) implied by News documents on the co-occurrence granularity (such as document-level, paragraph-level, sentence-level, etc.) of the corresponding text phrases in the documents. Specifically, we present both qualitative and quantitative characterization of searching News documents: former in terms of the nature of the content and the queries, and latter in terms of a metric obtained by adapting the notions of precision and recall. Specifically, the approach tries to reduce the manual effort required to analyze the News documents to compare …
Semantic Web: Promising Technologies, Current Applications & Future Directions, Amit P. Sheth
Semantic Web: Promising Technologies, Current Applications & Future Directions, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Wright State University Libraries Access Newsletter Summer 2008, Wright State University Libraries
Wright State University Libraries Access Newsletter Summer 2008, Wright State University Libraries
Access Newsletter
A six page newsletter created by Wright State University Libraries that addresses the current affairs of the Libraries.
Description Logic Rules, Markus Krotzsch, Sebastian Rudolph, Pascal Hitzler
Description Logic 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 …
Boosting With Incomplete Information, Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori, Feng Jiao
Boosting With Incomplete Information, Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori, Feng Jiao
Kno.e.sis Publications
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we present a boosting approach that integrates features with incomplete information and those with complete information to form a strong classifier. By introducing hidden variables to model missing information, we form loss functions that combine fully labeled data with partially labeled data to effectively learn normalized and unnormalized models. The primal problems of the proposed optimization problems with these loss functions are provided to show their close relationship and the motivations behind them. …
A Framework For Trust And Distrust Networks, Krishnaprasad Thirunarayan
A Framework For Trust And Distrust Networks, Krishnaprasad Thirunarayan
Kno.e.sis Publications
In this age of internet and electronic commerce it is becoming increasingly important to have and to manipulate information about the trustworthiness of the content or service providers in order to make informed decisions. This paper explores realistic models of trust and distrust based on partially ordered discrete values and proposes a framework, which is sensitive to local, relative ordering of values rather than their magnitudes. The framework distinguishes between direct and inferred trust, preferring direct information over possibly conflicting inferred information. It also represents ambiguity or inconsistency explicitly. The framework is capable of handling general trust and belief networks …
The Guardian, June 4, 2008, Wright State University Student Body
The Guardian, June 4, 2008, Wright State University Student Body
The Guardian Student Newspaper
Sixteen 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 Forgetting-Based Approach For Reasoning With Inconsistent Distributed Ontologies, Guilin Qi, Yimin Wang, Peter Haase, Pascal Hitzler
A Forgetting-Based Approach For Reasoning With Inconsistent Distributed Ontologies, Guilin Qi, Yimin Wang, Peter Haase, Pascal Hitzler
Computer Science and Engineering Faculty Publications
In the context of multiple distributed ontologies, we are often confronted with the problem of dealing with inconsistency. In this paper, we propose an approach for reasoning with inconsistent distributed ontologies based on concept forgetting. We firstly define concept forgetting in description logics. We then adapt the notions of recoveries and preferred recoveries in propositional logic to description logics. Two consequence relations are then defined based on the preferred recoveries.
Graph Summaries For Subgraph Frequency Estimation, Angela Maduko, Kemafor Anyanwu, Amit P. Sheth, Paul Schliekelman
Graph Summaries For Subgraph Frequency Estimation, Angela Maduko, Kemafor Anyanwu, Amit P. Sheth, Paul Schliekelman
Kno.e.sis Publications
A fundamental problem related to graph structured databases is searching for substructures. One issue with respect to optimizing such searches is the ability to estimate the frequency of substructures within a query graph. In this work, we present and evaluate two techniques for estimating the frequency of subgraphs from a summary of the data graph. In the first technique, we assume that edge occurrences on edge sequences are position independent and summarize only the most informative dependencies. In the second technique, we prune small subgraphs using a valuation scheme that blends information about their importance and estimation power. In both …
Defeasible Inference With Circumscriptive Owl Ontologies, Stephan Grimm, Pascal Hitzler
Defeasible Inference With Circumscriptive Owl Ontologies, Stephan Grimm, Pascal Hitzler
Computer Science and Engineering Faculty Publications
The Web Ontology Language (OWL) adheres to the openworld assumption and can thus not be used for forms of nonmonotonic reasoning or defeasible inference, an acknowledged desirable feature in open Semantic Web environments. We investigate the use of the formalism of circumscriptive description logics (DLs) to realise defeasible inference within the OWL framework. By example, we demonstrate how reasoning with (restricted) circumscribed OWL ontologies facilitates various forms of defeasible inference, also in comparison to alternative approaches. Moreover, we sketch an extension to DL tableaux for handling the circumscriptive case and report on a preliminary implementation.
Empowering Translational Research Using Semantic Web Technologies, Amit P. Sheth
Empowering Translational Research Using Semantic Web Technologies, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
The Guardian, May 28, 2008, Wright State University Student Body
The Guardian, May 28, 2008, Wright State University Student Body
The Guardian Student Newspaper
Sixteen page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
Sa-Rest: Using Semantics To Empower Restful Services And Smashups With Better Interoperability And Mediation, Karthik Gomadam, Amit P. Sheth
Sa-Rest: Using Semantics To Empower Restful Services And Smashups With Better Interoperability And Mediation, Karthik Gomadam, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Dynamic And Agile Soa Using Sawsdl, Karthik Gomadam, Kunal Verma, Amit P. Sheth
Dynamic And Agile Soa Using Sawsdl, Karthik Gomadam, Kunal Verma, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
The Guardian, May 14, 2008, Wright State University Student Body
The Guardian, May 14, 2008, 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 Framework To Support Spatial, Temporal And Thematic Analytics Over Semantic Web Data, Matthew Perry, Amit P. Sheth
A Framework To Support Spatial, Temporal And Thematic Analytics Over Semantic Web Data, Matthew Perry, Amit P. Sheth
Kno.e.sis Publications
Spatial and temporal data are critical components in many applications. This is especially true in analytical applications ranging from scientific discovery to national security and criminal investigation. The analytical process often requires uncovering and analyzing complex thematic relationships between disparate people, places and events. Fundamentally new query operators based on the graph structure of Semantic Web data models, such as semantic associations, are proving useful for this purpose. However, these analysis mechanisms are primarily intended for thematic relationships. In this paper, we describe a framework built around the RDF data model for analysis of thematic, spatial and temporal relationships between …
The Guardian, May 7, 2008, Wright State University Student Body
The Guardian, May 7, 2008, Wright State University Student Body
The Guardian Student Newspaper
Sixteen 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, April 30, 2008, Wright State University Student Body
The Guardian, April 30, 2008, Wright State University Student Body
The Guardian Student Newspaper
Sixteen 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, April 23, 2008, Wright State University Student Body
The Guardian, April 23, 2008, Wright State University Student Body
The Guardian Student Newspaper
Sixteen page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
Ws3: International Workshop On Context-Enabled Source And Service Selection, Integration And Adaptation, Quan Z. Sheng, Ullas Nambiar, Amit P. Sheth, Biplav Srivastava, Zakaria Maamr, Said Elnaffar
Ws3: International Workshop On Context-Enabled Source And Service Selection, Integration And Adaptation, Quan Z. Sheng, Ullas Nambiar, Amit P. Sheth, Biplav Srivastava, Zakaria Maamr, Said Elnaffar
Kno.e.sis Publications
This write-up provides a summary of the International Workshop on Context enabled Source and Service Selection, Integration and Adaptation (CSSSIA 2008), organized in conjunction with WWW2008, at Beijing, China on April 22nd 2008. We outline the motivation for organizing the work-shop, briefly describe the organizational details and program of the workshop, and summarize each of the papers accepted by the workshop. More information about the workshop can be found at http://www.cs.adelaide.edu.au/∼csssia08/.
The Guardian, April 16, 2008, Wright State University Student Body
The Guardian, April 16, 2008, Wright State University Student Body
The Guardian Student Newspaper
Sixteen page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
Rdb2rdf: Incorporating Domain Semantics In Structured Data, Satya S. Sahoo
Rdb2rdf: Incorporating Domain Semantics In Structured Data, Satya S. Sahoo
Kno.e.sis Publications
No abstract provided.
The Guardian, April 9, 2008, Wright State University Student Body
The Guardian, April 9, 2008, Wright State University Student Body
The Guardian Student Newspaper
Twenty 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, April 2, 2008, Wright State University Student Body
The Guardian, April 2, 2008, Wright State University Student Body
The Guardian Student Newspaper
Sixteen page issue of The Guardian, the official student-run newspaper for Wright State University. The Guardian has been published regularly since March of 1965.
Community, Spring 2008, Office Of Communications And Marketing, Wright State University
Community, Spring 2008, Office Of Communications And Marketing, Wright State University
Community
Twenty-six page issue of Community which was published periodically from 1996 through 2011. The magazine focused on news and events at Wright State University relating to faculty, staff, alumni, and friends of the university.
Artist Ranking Through Analysis Of On-Line Community Comments, Julia Grace, Daniel Gruhl, Kevin Haas, Meenakshi Nagarajan, Christine Robson, Nachiketa Sahoo
Artist Ranking Through Analysis Of On-Line Community Comments, Julia Grace, Daniel Gruhl, Kevin Haas, Meenakshi Nagarajan, Christine Robson, Nachiketa Sahoo
Kno.e.sis Publications
We describe an approach to measure the popularity of music tracks, albums and artists by analyzing the comments of music listeners in social networking online communities such as MySpace. This measure of popularity appears to be more accurate than the traditional measure based on album sales figures, as demonstrated by our focus group study. We faced many challenges in our attempt to generate a popularity ranking from the user comments on social networking sites, e.g., broken English sentences, comment spam, etc. We discuss the steps we took to overcome these challenges and describe an end to end system for generating …
Wsu Research News, Spring 2008, Office Of Research And Sponsored Programs, Wright State University
Wsu Research News, Spring 2008, Office Of Research And Sponsored Programs, Wright State University
WSU Research News
A sixteen page newsletter of the WSU Research News. The WSU Research News was published monthly beginning in June of 1968 and issued by the Office of Research Development. This newsletter was created to provide information to the WSU faculty about the availability of outside funds for research and educational programs, new developments that may affect availability of funds, and general information on research and educational activities at Wright State University.