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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=methodology">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=methodology]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for methodology]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/427/High-Resolution-Decadal-Gridding-of-NASA-Atmospheric-Infrared-Sounder-AIRS-Earth-Monitoring-Instrument-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/373/Framework-for-an-Integrated-Lifecycle-of-Services-on-the-Cloud"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/349/Learning-by-Reading-Automatic-Knowledge-Extraction-Through-Semantic-Analysis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/209/Opportunistic-Bartering-Of-Digital-Goods-and-Services"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/198/Aware-Home"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/160/MISSION-Multiagent-Institutions-for-Sensor-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/126/Learning-to-Win"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/61/A-Model-for-Decentralized-Information-Dissemination"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/58/A-Policy-Based-Approach-to-Governing-Autonomous-Behavior-in-Distributed-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/110/Medical-Data-Polygraph"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/93/Semantic-Cloud-Services-Framework"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1214/Measuring-the-Compliance-Costs-of-Exchanging-Part-2-Healthcare-Claims-Data-Through-Blockchain"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1060/Policy-Integrated-Blockchain-to-Automate-HIPAA-Part-2-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1050/Drug-Abuse-Ontology-to-Harness-Web-Based-Data-for-Substance-Use-Epidemiology-Research-Ontology-Development-Study"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1064/A-General-Framework-for-Auditing-Differentially-Private-Machine-Learning"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1032/Building-Textual-Fuzzy-Interpretive-Structural-Modeling-to-Analyze-Factors-of-Student-Mobility-Based-on-User-Generated-Content"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1040/SmartSPEC-Customizable-Smart-Space-Datasets-via-Event-driven-Simulations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/988/Secure-Cloud-EHR-with-Semantic-Access-Control-Searchable-Encryption-and-Attribute-Revocation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/989/Analyzing-GDPR-compliance-in-Cloud-Services-privacy-policies-using-Textual-Fuzzy-Interpretive-Structural-Modeling-TFISM-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/971/Convolutional-LSTM-for-Planetary-Boundary-Layer-Height-PBLH-Prediction"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/877/Two-Tier-Analysis-of-Social-Media-Collaboration-for-Student-Migration"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/30/Cloud-computing"/>
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 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text">
  <title><![CDATA[Information Extraction of Security related entities and concepts from unstructured text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text</link>
  <description><![CDATA[Cyber Security has been a big concern especially in past one decade where it is witnessed that targets ranging from large number of internet users to government agencies are being attacked because of vulnerabilities present in the system. Even though these vulnerabilities are identified and published publicly but response has always been slow in covering up these vulnerabilities because there is no automatic mechanism to understand and process this unstructured text that is published on inter...]]></description>
  <dc:date>2013-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/427/High-Resolution-Decadal-Gridding-of-NASA-Atmospheric-Infrared-Sounder-AIRS-Earth-Monitoring-Instrument-">
  <title><![CDATA[High Resolution Decadal Gridding of NASA Atmospheric Infrared Sounder (AIRS) Earth Monitoring Instrument.]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/427/High-Resolution-Decadal-Gridding-of-NASA-Atmospheric-Infrared-Sounder-AIRS-Earth-Monitoring-Instrument-</link>
  <description><![CDATA[This week's ebiquity lab meeting will comprise of presentation by PhD candidate, David Chapman.


David will talk on - High Resolution Decadal Gridding of the NASA Atmospheric Infrared Sounder (AIRS) Earth Monitoring Instrument.



Abstract: 
The NASA Atmospheric Infrared Sounder (AIRS) has been monitoring sun synchronous hyperspectral infrared radiation from Earth's surface and atmosphere operationally since September 2002, making AIRS one of the longest running IR sounders. AIRS has...]]></description>
  <dc:date>2012-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/373/Framework-for-an-Integrated-Lifecycle-of-Services-on-the-Cloud">
  <title><![CDATA[Framework for an Integrated Lifecycle of Services on the Cloud]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/373/Framework-for-an-Integrated-Lifecycle-of-Services-on-the-Cloud</link>
  <description><![CDATA[Virtualized Service models are now emerging and redefining the way Information technology is delivered to end users. Current research is focused on specific issues of Virtualized Services like Service Discovery, composition etc. In this talk I will review the existing research that is being conducted in this new field, especially in developing Service methodology and measuring service quality. I will also present the initial work that I have done in developing the Service lifecycle methodolog...]]></description>
  <dc:date>2010-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/349/Learning-by-Reading-Automatic-Knowledge-Extraction-Through-Semantic-Analysis">
  <title><![CDATA[Learning by Reading: Automatic Knowledge Extraction Through Semantic Analysis]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/349/Learning-by-Reading-Automatic-Knowledge-Extraction-Through-Semantic-Analysis</link>
  <description><![CDATA[Ph.D. Dissertation Defense

To support rich semantic analysis of text, traditional natural language processing tools require access to a cache of static knowledge with both broad coverage and deep meaning.  Acquiring this knowledge by hand is so expensive and error-prone, it has been dubbed the "knowledge acquisition bottleneck".  In this work, we present a method for reducing the impact of this bottleneck by automating the knowledge acquisition task using the novel approach of bootstrappin...]]></description>
  <dc:date>2010-07-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/209/Opportunistic-Bartering-Of-Digital-Goods-and-Services">
  <title><![CDATA[Opportunistic Bartering Of Digital Goods and Services]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/209/Opportunistic-Bartering-Of-Digital-Goods-and-Services</link>
  <description><![CDATA[The vision of mobile personal devices querying peers in their environment
for information such as local restaurant recommendations or directions to
the closest gas station, or traffic and weather updates has long been a
goal of the pervasive research community.  However, considering the
diversity and the personal nature of devices participating in pervasive
environments it is not feasible to assume that these interactions and
collaborations will take place with out economically-driven m...]]></description>
  <dc:date>2007-08-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/198/Aware-Home">
  <title><![CDATA[Aware Home]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/198/Aware-Home</link>
  <description><![CDATA[The average age of the world population is growing rapidly, while the fastest growing segment of the population is adults over the age of 65. Compounded by this growth is an increase in longevity, escalating instances of age-related diseases such as Alzheimer’s and dementia. Supporting the ability for the elderly or people with disabilities to live at home longer is of both personal and economic benefit to the individual. We expect that emerging technologies can facilitate this process. Our...]]></description>
  <dc:date>2007-04-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/160/MISSION-Multiagent-Institutions-for-Sensor-Networks">
  <title><![CDATA[MISSION: Multiagent Institutions for Sensor Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/160/MISSION-Multiagent-Institutions-for-Sensor-Networks</link>
  <description><![CDATA[Advancements in Micro-electro Mechanical Systems and wireless
communication systems have enabled the building of compact and inexpensive
sensor motes that have reasonable processing power and memory, onboard.
These motes could be networked to form a Wireless Sensor Network that
would enable data collection from physical environment done autonomously.
This could enable more sophisticated battlefield surveillance,
environmental monitoring, industrial process control and disaster rescue.
...]]></description>
  <dc:date>2006-06-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/126/Learning-to-Win">
  <title><![CDATA[Learning to Win]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/126/Learning-to-Win</link>
  <description><![CDATA[Repositories of standard-format datasets and analysis tasks
defined on them have critically contributed to machine
learning investigations, but their access has led to some
ideological stagnation. While they allow researchers to
conduct comparative empirical analyses of supervised learning
algorithms on a massive scale, this led to many dull
contributions on small improvements to knowledge-poor
algorithms, which became easier to publish than more ambitious
investigations. For example,...]]></description>
  <dc:date>2005-11-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/61/A-Model-for-Decentralized-Information-Dissemination">
  <title><![CDATA[A Model for Decentralized Information Dissemination]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/61/A-Model-for-Decentralized-Information-Dissemination</link>
  <description><![CDATA[Peer-to-Peer computing paradigm may provide a solution to
the retrieval problem in an ever burgeoning volume of online
and digital information. While research has focused on the
means of collaboration as a tool for query routing, we feel
that there is a disconnect in the way P2P networks are
handled and the expectations of performance in the real
world. In the proposed work, we discuss the needs for an
information need sensitive query routing methodology that
can provide for effective...]]></description>
  <dc:date>2004-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/58/A-Policy-Based-Approach-to-Governing-Autonomous-Behavior-in-Distributed-Environments">
  <title><![CDATA[A Policy-Based Approach to Governing Autonomous Behavior in Distributed Environments]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/58/A-Policy-Based-Approach-to-Governing-Autonomous-Behavior-in-Distributed-Environments</link>
  <description><![CDATA[Many emerging computational systems such as pervasive computing environments, the semantic web, grid computing, and multi-agent systems fit the paradigm of open, dynamic distributed systems.  These
systems have to accommodate a wide range of domain knowledge due to diverse organizational boundaries, adapt to heterogeneous, mobile, and
semi-autonomous entities, and manage variations caused by the movement of users, ambiguous boundaries, and permutable services.


While past research has...]]></description>
  <dc:date>2004-09-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/110/Medical-Data-Polygraph">
  <title><![CDATA[Medical Data Polygraph]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/110/Medical-Data-Polygraph</link>
  <description><![CDATA[Healthcare organizations exchange sensitive health records, including behavioral health data, across peer-to-peer networks, and it is challenging to find and fix compliance issues proactively.

The Healthcare industry anticipates a growing need to audit substance use disorder patient data, commonly referred to as Part 2 data, having been shared without a release of information signed by the patient. To address this need, we developed and evaluated a novel methodology to detect Part 2 data e...]]></description>
  <dc:date>2022-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/93/Semantic-Cloud-Services-Framework">
  <title><![CDATA[Semantic Cloud Services Framework]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/93/Semantic-Cloud-Services-Framework</link>
  <description><![CDATA[ Delivery of IT Service is moving away from a single provider mode, and is increasingly based on the composition of multiple services and assets (technological, human, or process) that may be supplied by one or more service providers distributed across the network – in the cloud. Moreover, a single service could be a part of many composite services as needed. The service, in effect, is virtualized on the cloud. This  project is developing an integrated methodology for IT Services delivered...]]></description>
  <dc:date>2009-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1214/Measuring-the-Compliance-Costs-of-Exchanging-Part-2-Healthcare-Claims-Data-Through-Blockchain">
  <title><![CDATA[Measuring the Compliance Costs of Exchanging Part 2 Healthcare Claims Data Through Blockchain]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1214/Measuring-the-Compliance-Costs-of-Exchanging-Part-2-Healthcare-Claims-Data-Through-Blockchain</link>
  <description><![CDATA[Patient selections for keeping data confidential may differ between healthcare organizations, creating conflicts
in confidentiality for how sensitive and demographic data is linked and merged. Validating that patient data
exchange between organizations adheres to healthcare regulations, like the Health Insurance Portability and
Accountability Act (HIPAA), is challenging and time-consuming and relies upon organizational due diligence
to validate data upon receipt, or in the case of breache...]]></description>
  <dc:date>2026-03-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1060/Policy-Integrated-Blockchain-to-Automate-HIPAA-Part-2-Compliance">
  <title><![CDATA[Policy Integrated Blockchain to Automate HIPAA Part 2 Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1060/Policy-Integrated-Blockchain-to-Automate-HIPAA-Part-2-Compliance</link>
  <description><![CDATA[Healthcare organizations exchange sensitive health records, including behavioral health data, across peer-to-peer networks, and it is challenging to find and fix compliance issues proactively. The Healthcare industry anticipates a growing need to audit substance use disorder patient data, commonly referred to as Part 2 data, having been shared without a release of information signed by the patient. To address this need, we developed and evaluated a novel methodology to detect Part 2 data exch...]]></description>
  <dc:date>2023-07-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1050/Drug-Abuse-Ontology-to-Harness-Web-Based-Data-for-Substance-Use-Epidemiology-Research-Ontology-Development-Study">
  <title><![CDATA[Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1050/Drug-Abuse-Ontology-to-Harness-Web-Based-Data-for-Substance-Use-Epidemiology-Research-Ontology-Development-Study</link>
  <description><![CDATA[Background: Web-based resources and social media platforms play an increasingly important role in health-related knowledge and experience sharing. There is a growing interest in the use of these novel data sources for epidemiological surveillance of substance use behaviors and trends.

Methods: The domain and scope of the DAO were defined using competency questions from popular ontology methodology (101 ontology development). The 101 method includes determining the domain and scope of ontol...]]></description>
  <dc:date>2022-12-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1064/A-General-Framework-for-Auditing-Differentially-Private-Machine-Learning">
  <title><![CDATA[A General Framework for Auditing Differentially Private Machine Learning]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1064/A-General-Framework-for-Auditing-Differentially-Private-Machine-Learning</link>
  <description><![CDATA[We present a framework to statistically audit the privacy guarantee conferred by a differentially private machine learner in practice. While previous works have taken steps toward evaluating privacy loss through poisoning attacks or membership inference, they have been tailored to specific models or have demonstrated low statistical power. Our work develops a general methodology to empirically evaluate the privacy of differentially private machine learning implementations, combining improved ...]]></description>
  <dc:date>2022-11-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1032/Building-Textual-Fuzzy-Interpretive-Structural-Modeling-to-Analyze-Factors-of-Student-Mobility-Based-on-User-Generated-Content">
  <title><![CDATA[Building Textual Fuzzy Interpretive Structural Modeling to Analyze Factors of Student Mobility Based on User Generated Content]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1032/Building-Textual-Fuzzy-Interpretive-Structural-Modeling-to-Analyze-Factors-of-Student-Mobility-Based-on-User-Generated-Content</link>
  <description><![CDATA[Many factors influence student mobility across regions and countries. The roles of these factors, along with their interrelationship and interaction, make student mobility a complex decision-making issue. Many textual data generated on social media can answer many open questions about factors affecting human behavior, particularly social mobility. We have developed a novel methodology, called Textual Fuzzy Interpretive Structural Modeling (TFISM), that automatically analyses large textual dat...]]></description>
  <dc:date>2022-11-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1040/SmartSPEC-Customizable-Smart-Space-Datasets-via-Event-driven-Simulations">
  <title><![CDATA[SmartSPEC: Customizable Smart Space Datasets via Event-driven Simulations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1040/SmartSPEC-Customizable-Smart-Space-Datasets-via-Event-driven-Simulations</link>
  <description><![CDATA[This paper presents SmartSPEC, an approach to generate customizable smart space datasets using sensorized spaces in which people and events are embedded. Smart space datasets are critical to design, deploy and evaluate robust systems and applications to ensure cost-effective operation and safety/- comfort/convenience of the space occupants. Often, real-world data is difficult to obtain due to the lack of fine-grained sensing; privacy/security concerns prevent the release and sharing of indivi...]]></description>
  <dc:date>2022-03-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/988/Secure-Cloud-EHR-with-Semantic-Access-Control-Searchable-Encryption-and-Attribute-Revocation">
  <title><![CDATA[Secure Cloud EHR with Semantic Access Control, Searchable Encryption and Attribute Revocation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/988/Secure-Cloud-EHR-with-Semantic-Access-Control-Searchable-Encryption-and-Attribute-Revocation</link>
  <description><![CDATA[To ensure a secure Cloud-based Electronic Health Record (EHR) system, we need to encrypt data and impose field-level access control to prevent malicious usage. Since the attributes of the Users will change with time, the encryption policies adopted may also vary. For large EHR systems, it is often necessary to search through the encrypted data in realtime and perform client-side computations without decrypting all patient records. This paper describes our novel cloud-based EHR system that use...]]></description>
  <dc:date>2021-09-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/989/Analyzing-GDPR-compliance-in-Cloud-Services-privacy-policies-using-Textual-Fuzzy-Interpretive-Structural-Modeling-TFISM-">
  <title><![CDATA[Analyzing GDPR compliance in Cloud Services' privacy policies using Textual Fuzzy Interpretive Structural Modeling (TFISM)]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/989/Analyzing-GDPR-compliance-in-Cloud-Services-privacy-policies-using-Textual-Fuzzy-Interpretive-Structural-Modeling-TFISM-</link>
  <description><![CDATA[Cloud Service providers must comply with data protection regulations, like European Union (EU) General Data Protection Regulation (GDPR), to ensure their users' personal data security and privacy. Hence, the service privacy policies and terms of service documents refer to the rules it complies with within the data protection regulation. However, these documents contain legalese jargon that requires significant manual effort to parse and confirm compliance. We have developed a novel methodolog...]]></description>
  <dc:date>2021-09-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/971/Convolutional-LSTM-for-Planetary-Boundary-Layer-Height-PBLH-Prediction">
  <title><![CDATA[Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/971/Convolutional-LSTM-for-Planetary-Boundary-Layer-Height-PBLH-Prediction</link>
  <description><![CDATA[We describe new work that uses deep learning to learn temporal changes in Planetary Boundary Layer Height (PBLH). This work is performed in conjunction with a deep edge detection method that identifies edges in imagery based on ceilometer backscatter signal from LIDAR observations. We implement a convolutional Long Short Term Memory (LSTM) to predict small temporal changes in PBLH estimates.  In the presence of rain, clouds, and other unfavorable conditions, PBLH heights are challenging to es...]]></description>
  <dc:date>2021-03-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/877/Two-Tier-Analysis-of-Social-Media-Collaboration-for-Student-Migration">
  <title><![CDATA[Two Tier Analysis of Social Media Collaboration for Student Migration]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/877/Two-Tier-Analysis-of-Social-Media-Collaboration-for-Student-Migration</link>
  <description><![CDATA[Global adoption of Social Media as the preferred medium for collaboration and information exchange is increasingly reshaping social realities and facilitating new research methodologies in various disciplines. Social Media applications are collecting a large amount of User-Generated Content (UGC) and web data that contains knowledge about novel approaches of global collaboration between people. We have done a detailed study of the factors that lead to student migration, as espoused by social ...]]></description>
  <dc:date>2019-12-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/30/Cloud-computing">
  <title><![CDATA[Cloud computing]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/30/Cloud-computing</link>
  <description><![CDATA[Delivery of IT Service is moving away from a single provider mode, and is increasingly based on the composition of multiple services and assets (technological, human, or process) that may be supplied by one or more service providers distributed across the network – in the cloud. Moreover, a single service could be a part of many composite services as needed. The service, in effect, is virtualized on the cloud. Our research in this area is currently concentrated on developing methodology for...]]></description>
  <dc:date>2026-05-11</dc:date>
 </item>
</rdf:RDF>
