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Social and Behavioral Sciences Commons™
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- Keyword
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- Semantic Web (7)
- SAWSDL (5)
- Semantic Web Services (5)
- SSW (3)
- Semantic web (3)
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- WSDL-S (3)
- Data Integration (2)
- Entrez Gene (2)
- Gene Ontology (2)
- Mashups (2)
- Ontology (2)
- RDF (2)
- Relationship Web (2)
- SA-REST (2)
- SPARQL (2)
- Semantic Analytics (2)
- Semantic Sensor Web (2)
- Web 2.0 (2)
- Abductive Inference (1)
- Adaptive Web Process (1)
- Adaptive Web Service (1)
- Automatic Refactoring (1)
- Autonomic Web Process (1)
- Autonomic Web Service (1)
- Background domain knowledge (1)
- Contrast Pattern (1)
- DSLs (1)
- Data Cube (1)
- Data Mining (1)
- Data Mining Algorithm (1)
Articles 31 - 57 of 57
Full-Text Articles in Social and Behavioral Sciences
Altering Document Term Vectors For Classification - Ontologies As Expectations Of Co-Occurrence, Meenakshi Nagarajan, Amit P. Sheth, Marcos Aguilera, Kimberly Keeton, Arif Merchant, Mustafa Uysal
Altering Document Term Vectors For Classification - Ontologies As Expectations Of Co-Occurrence, Meenakshi Nagarajan, Amit P. Sheth, Marcos Aguilera, Kimberly Keeton, Arif Merchant, Mustafa Uysal
Kno.e.sis Publications
In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in Ontologies. Preliminary evaluations indicate that the new approach generally improves precision and recall, more so for hard to classify cases and reveals patterns indicating the usefulness of such background knowledge.
Semantic Web: Technologies And Applications For The Real-World, Amit P. Sheth
Semantic Web: Technologies And Applications For The Real-World, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Visualization Of Events In A Spatially And Multimedia Enriched Virtual Environment, Leonidas Deligiannidis, Farshad Hakimpour, Amit P. Sheth
Visualization Of Events In A Spatially And Multimedia Enriched Virtual Environment, Leonidas Deligiannidis, Farshad Hakimpour, Amit P. Sheth
Kno.e.sis Publications
Semantic Event Tracker (SET) is a highly interactive visualization tool for tracking and associating activities (events) in a spatially and Multimedia Enriched Virtual Environment. SET provides integrated views of information spaces while providing overview and detail to improve perception and evaluation of complex scenarios. We model an event as an object that describes an action and its location, time, and relations to other objects. Real world event information is extracted from Internet sources, then stored and processed using Semantic Web technologies that enable us to discover semantic associations between events. We use RDF graphs to represent semantic metadata and ontologies. …
An Experiment In Integrating Large Biomedical Knowledge Resources With Rdf: Application To Associating Genotype And Phenotype Information, Satya S. Sahoo, Olivier Bodenreider, Kelly Zeng, Amit P. Sheth
An Experiment In Integrating Large Biomedical Knowledge Resources With Rdf: Application To Associating Genotype And Phenotype Information, Satya S. Sahoo, Olivier Bodenreider, Kelly Zeng, Amit P. Sheth
Kno.e.sis Publications
Bridging between genotype and phenotype is generally achieved through the integration of knowledge sources such as Entrez Gene (EG), Online Mendelian Inheritance in Man (OMIM) and the Gene Ontology (GO). Traditionally, such integration implies manual effort or the development of customized software. In this paper, we demonstrate how the Resource Description Framework (RDF) can be used to represent and integrate these resources and support complex queries over the unified resource. We illustrate the effectiveness of our approach by answering a real-world biomedical query linking a specific molecular function, glycosyltransferase, to the disorder congenital muscular dystrophy, which potentially forms a new …
Semantic Web Applications In Industry, Government, Health Care And Life Sciences, Amit P. Sheth
Semantic Web Applications In Industry, Government, Health Care And Life Sciences, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
Towards Attack-Resilient Geometric Data Perturbation, Keke Chen, Ling Liu
Towards Attack-Resilient Geometric Data Perturbation, Keke Chen, Ling Liu
Kno.e.sis Publications
Data perturbation is a popular technique for privacy-preserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are normally considered as a pair of contradictive factors. We propose that selectively preserving only the task/model specific information in perturbation would improve the balance. Geometric data perturbation, consisting of random rotation perturbation, random translation perturbation, and noise addition, aims at preserving the important geometric properties of a multidimensional dataset, while providing better privacy guarantee for data classification modeling. The preliminary study has shown that random geometric perturbation can well preserve model accuracy for several popular …
Spatiotemporal And Thematic Semantic Analytics, Matthew Perry
Spatiotemporal And Thematic Semantic Analytics, Matthew Perry
Kno.e.sis Publications
No abstract provided.
Mining Minimal Distinguishing Subsequence Patterns With Gap Constraints, Xiaonan Ji, James Bailey, Guozhu Dong
Mining Minimal Distinguishing Subsequence Patterns With Gap Constraints, Xiaonan Ji, James Bailey, Guozhu Dong
Kno.e.sis Publications
Discovering contrasts between collections of data is an important task in data mining. In this paper, we introduce a new type of contrast pattern, called a Minimal Distinguishing Subsequence (MDS). An MDS is a minimal subsequence that occurs frequently in one class of sequences and infrequently in sequences of another class. It is a natural way of representing strong and succinct contrast information between two sequential datasets and can be useful in applications such as protein comparison, document comparison and building sequential classification models. Mining MDS patterns is a challenging task and is significantly different from mining contrasts between relational/transactional …
Automatic Composition Of Semantic Web Services Using Process And Data Mediation, Zixin Wu, Ajith H. Ranabahu, Karthik Gomadam, Amit P. Sheth, John A. Miller
Automatic Composition Of Semantic Web Services Using Process And Data Mediation, Zixin Wu, Ajith H. Ranabahu, Karthik Gomadam, Amit P. Sheth, John A. Miller
Kno.e.sis Publications
Web service composition has quickly become a key area of research in the services oriented architecture community. One of the challenges in composition is the existence of heterogeneities across independently created and autonomously managed Web service requesters and Web service providers. Previous work in this area either involved significant human effort or in cases of the efforts seeking to provide largely automated approaches, overlooked the problem of data heterogeneities, resulting in partial solutions that would not support executable workflow for real-world problems. In this paper, we present a planning-based approach to solve both the process heterogeneity and data heterogeneity problems. …
Engineering Mathematics Education At Wright State University: Uncorking The First Year Bottleneck, Nathan W. Klingbeil, Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds, Richard Mercer
Engineering Mathematics Education At Wright State University: Uncorking The First Year Bottleneck, Nathan W. Klingbeil, Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds, Richard Mercer
Kno.e.sis Publications
No abstract provided.
Data Integration, Meenakshi Nagarajan
Sensor Networks Survey, Cory Andrew Henson, Satya S. Sahoo
Sensor Networks Survey, Cory Andrew Henson, Satya S. Sahoo
Kno.e.sis Publications
No abstract provided.
Glycomics Project Overview, Satya S. Sahoo
Glycomics Project Overview, Satya S. Sahoo
Kno.e.sis Publications
No abstract provided.
Schema-Driven Relationship Extraction From Unstructured Text, Cartic Ramakrishnan
Schema-Driven Relationship Extraction From Unstructured Text, Cartic Ramakrishnan
Kno.e.sis Publications
No abstract provided.
Beyond Sawsdl - A Game Plan For Broader Adoption Of Semantic Web Services, Amit P. Sheth
Beyond Sawsdl - A Game Plan For Broader Adoption Of Semantic Web Services, Amit P. Sheth
Kno.e.sis Publications
After a flurry of research activities led by the OWL-S, WSMO, SWSF, and WSDL-S groups, we now have taken the first concrete steps toward building a Semantic Web Services (SWS) based solution, in the form of a W3C candidate recommendation SAWSDL [http://www.w3.org/2002/ws/sawsdl/], associated tools and use cases, and initial applications [1]. Where do we go from here? Researchers among us may be fully convinced of the importance and benefit of adding semantics to Web services and impatient to see their research translated into technologies and adapted for real use. However, I believe we may need to be patient and do …
Sa-Rest: Semantically Interoperable And Easier-To-Use Services And Mashups, Amit P. Sheth, Karthik Gomadam, Jonathan Lathem
Sa-Rest: Semantically Interoperable And Easier-To-Use Services And Mashups, Amit P. Sheth, Karthik Gomadam, Jonathan Lathem
Kno.e.sis Publications
Services based on the representational state transfer (REST) paradigm, a lightweight implementation of a service-oriented architecture, have found even greater success than their heavyweight siblings, which are based on the Web Services Description Language (WSDL.) and SOAP. By using XML-based messaging, RESTful services can bring together discrete data from different services to create meaningful data sets; mashups such as these are extremely popular today.
From “Glycosyltransferase” To “Congenital Muscular Dystrophy”: Integrating Knowledge From Ncbi Entrez Gene And The Gene Ontology, Satya S. Sahoo, Kelly Zeng, Olivier Bodenreider, Amit P. Sheth
From “Glycosyltransferase” To “Congenital Muscular Dystrophy”: Integrating Knowledge From Ncbi Entrez Gene And The Gene Ontology, Satya S. Sahoo, Kelly Zeng, Olivier Bodenreider, Amit P. Sheth
Kno.e.sis Publications
Entrez Gene (EG), Online Mendelian Inheritance in Man (OMIM) and the Gene Ontology (GO) are three complementary knowledge resources that can be used to correlate genomic data with disease information. However, bridging between genotype and phenotype through these resources currently requires manual effort or the development of customized software. In this paper, we argue that integrating EG and GO provides a robust and flexible solution to this problem. We demonstrate how the Resource Description Framework (RDF) developed for the Semantic Web can be used to represent and integrate these resources and enable seamless access to them as a unified resource. …
Survey Of Current Sensor Network Data Management Frameworks, Cory Henson, Satya S. Sahoo
Survey Of Current Sensor Network Data Management Frameworks, Cory Henson, Satya S. Sahoo
Kno.e.sis Publications
No abstract provided.
What, Where And When: Supporting Semantic, Spatial And Temporal Queries In A Dbms, Matthew Perry, Amit P. Sheth, Farshad Hakimpour, Prateek Jain
What, Where And When: Supporting Semantic, Spatial And Temporal Queries In A Dbms, Matthew Perry, Amit P. Sheth, Farshad Hakimpour, Prateek Jain
Kno.e.sis Publications
Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. The outcome of the analytical process in these applications often hinges on uncovering and analyzing complex 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 in these applications. However, these analysis mechanisms are primarily intended for thematic relationships. We describe a framework built around the RDF metadata model for analysis of thematic, spatial and temporal relationships between …
Learning To Model Spatial Dependency: Semi-Supervised Discriminative Random Fields, Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner
Learning To Model Spatial Dependency: Semi-Supervised Discriminative Random Fields, Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner
Kno.e.sis Publications
We present a novel, semi-supervised approach to training discriminative random fields (DRFs) that efficiently exploits labeled and unlabeled training data to achieve improved accuracy in a variety of image processing tasks. We formulate DRF training as a form of MAP estimation that combines conditional loglikelihood on labeled data, given a data-dependent prior, with a conditional entropy regularizer defined on unlabeled data. Although the training objective is no longer concave, we develop an efficient local optimization procedure that produces classifiers that are more accurate than ones based on standard supervised DRF training. We then apply our semi-supervised approach to train DRFs …
Collecting Expertise Of Researchers For Finding Relevant Experts In A Peer-Review Setting, Delroy H. Cameron, Boanerges Aleman-Meza, Ismailcem Budak Arpinar
Collecting Expertise Of Researchers For Finding Relevant Experts In A Peer-Review Setting, Delroy H. Cameron, Boanerges Aleman-Meza, Ismailcem Budak Arpinar
Kno.e.sis Publications
We present ideas for determining the expertise of researchers across various areas of computer science and for finding relevant experts/reviewers in a peer review setting. We explain how Semantic Web techniques for data collection and data representation using ontologies can be used in addressing this specific 'ExpertFinder' problem.
Glycoo Ontology, Christopher Thomas
A Unified Approach To Retrieving Web Documents And Semantic Web Data, Trivikram Immaneni, Krishnaprasad Thirunarayan
A Unified Approach To Retrieving Web Documents And Semantic Web Data, Trivikram Immaneni, Krishnaprasad Thirunarayan
Kno.e.sis Publications
The Semantic Web seems to be evolving into a property-linked web of RDF data, conceptually divorced from (but physically housed in) the hyperlinked web of HTML documents. We discuss the Unified Web model that integrates the two webs and formalizes the structure and the semantics of interconnections between them. We also discuss the Hybrid Query Language which combines the Data and Information Retrieval techniques to provide a convenient and uniform way to retrieve data and documents from the Unified Web. We present the retrieval system SITAR and some preliminary results.
Brief Announcement: Space Adaptation: Privacy-Preserving Multiparty Collaborative Mining With Geometric Perturbation, Keke Chen, Ling Liu
Brief Announcement: Space Adaptation: Privacy-Preserving Multiparty Collaborative Mining With Geometric Perturbation, Keke Chen, Ling Liu
Kno.e.sis Publications
No abstract provided.
Evolution And Maintenance Of Frequent Pattern Space When Transactions Are Removed, Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong
Evolution And Maintenance Of Frequent Pattern Space When Transactions Are Removed, Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong
Kno.e.sis Publications
This paper addresses the maintenance of discovered frequent patterns when a batch of transactions are removed from the original dataset. We conduct an in-depth investigation on how the frequent pattern space evolves under transaction removal updates using the concept of equivalence classes. Inspired by the evolution analysis, an effective and exact algorithm TRUM is proposed to maintain frequent patterns. Experimental results demonstrate that our algorithm outperforms representative state-of-the-art algorithms.
Semantically Annotating A Web Service, Kunal Verma, Amit P. Sheth
Semantically Annotating A Web Service, Kunal Verma, Amit P. Sheth
Kno.e.sis Publications
In the past few years, service-oriented architecture (SOA) has transitioned from a partially formed vision into a widely implemented paradigm, with Web services (WS) being the forerunners to implementing SOA-based solutions. But even though the current trend is to use Web services' standards-based nature to establish static connections between various components, businesses are starting to explore dynamic value-added propositions, such as reuse, interoperability, and agility.
Role Of Semantics In Autonomic & Adaptive Web Services And Processes, Amit P. Sheth
Role Of Semantics In Autonomic & Adaptive Web Services And Processes, Amit P. Sheth
Kno.e.sis Publications
The emergence of Service Oriented Architectures (SOA) has created a new paradigm of loosely coupled distributed systems. In the METEOR-S project, we have studied the comprehensive role of semantics in all stages of the life cycle of service and process-- including annotation, publication, discovery, interoperability/data mediation, and composition. In 2002-2003, we had offered a broad framework of semantics consisting of four types:1) Data semantics, 2) Functional semantics, 3) Non-Functional semantics and 4) Execution semantics. This talk describes the need for the four types of semantics, its standards-based support through WSDL-S/SAWSDL, and the need for such semantic representation to dynamic and …