IARIA

Displaying 121-160 of 1223 results

  • White Papers // Jan 2013

    Modeling a Data Storage System (DSS) for Seamless Real-Time Information Support From Information Manufacturing System (IMS)

    Now-a-days, a large number of enterprises operate in a business time schedule of 24?7. These enterprises need to deliver information as fast as possible for information support. Therefore, the information manufacturing system of the enterprises should have the ability for seamless real-time information support. Data storage system in the information...

    Provided By IARIA

  • White Papers // Jan 2013

    Modeling and Simulation Versions of Business Process Using Petri Nets

    This paper proposes a solution for modeling and simulating flexible Business Processes (BP) using version concepts. It advocates a Model Driven Architecture approach to handle versions of BP. The paper presents, first, a meta model (VBP2M: Versioned Business Process Meta Model) for modeling versions of BP considering six perspectives of...

    Provided By IARIA

  • White Papers // Jan 2013

    Parameterized Attribute and Service Levels Semantic Matchmaking Framework for Service Composition

    The paper presents a parameterized and highly customizable semantic matchmaking framework. The matchmaking approach on which this framework is based distinguishes three types of matching: functional attribute-level matching, functional service-level matching, and non-functional matching. This paper focuses only on functional matching. A series of algorithms is advised for both attribute-level...

    Provided By IARIA

  • White Papers // Jan 2013

    Sales Prediction With Parametrized Time Series Analysis

    When forecasting sales figures, not only the sales history but also the future price of a product will influence the sales quantity. At first sight, multivariate time series seem to be the appropriate model for this task. Nontheless, in real life history is not always repeatable, i.e. in the case...

    Provided By IARIA

  • White Papers // Jan 2013

    Enhancing Distributed Data Mining Performance by Multi-Agent Systems

    Data Mining (DM) is focused on identifying patterns and trends from massive data integrated within a data warehouse. However, a single data mining technique has not been proven appropriate for every domain and data set. Data mining is a computationally intensive process involving very large datasets, affecting the overall performance...

    Provided By IARIA

  • White Papers // Jan 2013

    Data and Provenance Management for Climate Effect Studies Adaption of Climate Data With Distribution Based Scaling for Hydrological Simulations

    Climate effect studies are currently of high interest to predict the impact of a changing climate. The results of such studies are used by decision makers as a basis for planning how to mitigate and adapt to the effects of expected climate changes. However, these studies require heavy computations on...

    Provided By IARIA

  • White Papers // Jan 2013

    Dr Warehouse - An Intelligent Software System for Epidemiological Monitoring, Prediction, and Research

    The authors present Dr Warehouse, an extensible intelligent web-based system for epidemiological analyses. It features a data warehouse containing medical data about registered disease cases and relevant demographical data. There is also a segment of the system that is devoted to presentation and analysis of epidemiological data collected in the...

    Provided By IARIA

  • White Papers // Jan 2013

    Feasibility of the Implementation of a UML to XML Evolution Architecture Using Eclipse as Technological Ecosystem

    Unified Modeling Language (UML) and eXtensible Markup Language (XML) are two of the most commonly used languages in software engineering processes. One of the most critical of these processes is that of model evolution and maintenance. More specifically, when an XML schema is modified, the changes should be propagated to...

    Provided By IARIA

  • White Papers // Jan 2013

    Business Intelligence in an Educational Landscape

    In this paper, the authors report a work in progress about the effectiveness of Business Intelligence in the academic environment. Business management, competitiveness, excess of information and dispersion of data in the organizational environment have proven to be important barriers that need to be overcome by managers today, both in...

    Provided By IARIA

  • White Papers // Jan 2013

    On Using Object-Relational Technology for Querying LOD Repositories

    Query engines for managing RDF repositories based on relational technology represent an alternative to query engines based on triple-stores. The paper presents adaptation of object-relational technology for managing RDF data. The architecture of query engine for RDF databases is proposed: mapping of RDF graph model to object-relational representation is described,...

    Provided By IARIA

  • White Papers // Jan 2013

    Using Social Network Information to Identify User Contexts for Query Personalization

    In recent years, social networks have gained a huge popularity among internet users, serving diverse purposes and communities. Meanwhile, in data-oriented applications, the increasing amount of available data has made it hard for users to find the information they need in the way they consider relevant. To help matters, a...

    Provided By IARIA

  • White Papers // Jan 2013

    Finding Nearest Neighbors for Multi-Dimensional Data

    As one of the important research topics in the data mining field, the nearest neighbor search problem has been studied and various approaches have been proposed in different research scenarios. For example proposes a scheme for nearest neighbor search by hashing data points from a data set, so that for...

    Provided By IARIA

  • White Papers // Jan 2013

    Optimization of SuperSQL Execution by Query Decomposition

    SuperSQL is an extension of SQL that allows formatting and publishing of database contents into various kinds of application data directly as a result of a query. Possible application data output formats include, but are not limited to, HTML, PDF, XML, XLS, and Ajax-driven pages. Originally, the SuperSQL query is...

    Provided By IARIA

  • White Papers // Jan 2013

    Considerations About Implementation Variants for Position Lists

    Within \"Traditional\" database systems (row store), the values of a tuple are usually stored in a physically connected manner. In a column store by contrast, all values of each single column are stored one after another. This orthogonal storage organization has the advantage that only data from columns which are...

    Provided By IARIA

  • White Papers // Jan 2013

    Mapping XML to Key-Value Database

    XML is a popular data format used in many software applications. Native XML databases can be used for persistence of XML documents or the document can be stored in a relational database. In this paper, the authors propose an alternative storage for XML documents based on key-value databases. They propose...

    Provided By IARIA

  • White Papers // Jan 2013

    Typing XPath Subexpressions With Respect to an XML Schema

    This paper discusses typing XPath sub-expressions with respect to an XML schema, which is a new static analysis problem of XPath expressions. More formally, the typing problem is to decide whether there exists an XML document conforming to a given XML schema such that the nodes of the document matching...

    Provided By IARIA

  • White Papers // Jan 2013

    An Approach for Reduction of the Security Overhead in Smart Grid Communication Infrastructure Employing Dedicated Encryption

    Generally, a Smart Grid is an autonomous system consisting of an information collection network, a data management center, a power grid control center and power generation and transmission infrastructures. This paper considers an approach for partial reduction of the overhead implied by request for data security within the Smart Grid...

    Provided By IARIA

  • White Papers // Jan 2013

    Adoptation of Weil Pairing IBE for Secure File Sharing

    Competitive enterprise has lots of secret files in digital form, which is vulnerable to illegal online activity. The authors' target network accepts authorized users on registered machines. In general it is known that the traditional public-key scheme is suitable to strong authentication and encryption, but it is inferior to the...

    Provided By IARIA

  • White Papers // Jan 2013

    A Real Time Synchronous V-C System with the Extracted Data from Buffering Function

    This paper introduces the state-of-art of the Real-time LVC (Live-Virtual-Constructive) interoperation systems that are being used for the purpose of warfare training and presents the first Real-time V-C (Virtual-Constructive) interoperation system building project. In this paper, the authors have developed a new UAV (Unmanned Aerial Vehicle) image simulation system, which...

    Provided By IARIA

  • White Papers // Jan 2013

    Knowledge Enhanced Framework for Designing e-Workflow Systems

    Traditional workflow framework in implementing e-business processes has ignored the worker knowledge, the user feedback and problems resulting of incompatibility of inter-organization e-business processes. The limitation of this framework comes from its behavioral perspective, which focuses only on monitoring and detecting problems in the execution of homogenous intra-organization business processes....

    Provided By IARIA

  • White Papers // Jan 2013

    A New Representation of WordNet Using Graph Databases

    WordNet is one of the most important resources in computation linguistics. The semantically related database of English terms is widely used in text analysis and retrieval domains, which constitute typical features, employed by social networks and other modern Web 2.0 applications. Under the hood, WordNet can be seen as a...

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  • White Papers // Jan 2013

    FIMIOQR: Frequent Itemsets Mining for Interactive OLAP Query Recommendation

    The authors propose in this paper an interactive query recommendation system, namely FIMIOQR. It is designed to help OLAP (On-Line Analytical Processing) users in their decision query writing task based on both a set of selected measures and decision queries log file. Their FIMIOQR system is designed to discover associations...

    Provided By IARIA

  • White Papers // Jan 2013

    Geometric Mean based Boosting Algorithm to Resolve Data Imbalance Problem

    Data imbalance problem has received a lot of attention in machine learning community because it is one of the causes that degrade the performance of classifiers or predictors. In this paper, the authors propose Geometric Mean based boosting algorithm (GM-Boost) to resolve the data imbalance problem. GM-Boost enables learning with...

    Provided By IARIA

  • White Papers // Jan 2013

    Primitive Operation Aggregation Algorithms for Improving Taxonomies for Large-Scale Hierarchical Classifiers

    Naive implementations of hierarchical classifiers that classify documents into large-scale taxonomy structures may face the contradiction between relevancy and efficiency performances. To address this problem, the authors focused on taxonomy modification algorithms for gradually improving the relevance performances of large-scale hierarchical classifiers. They developed four taxonomy modification algorithms that aggregate...

    Provided By IARIA

  • White Papers // Jan 2013

    Data Management According to the Good Scientific Practice

    Data Management in scientific and research processes needs to comply with rules defined in the Good Scientific Practice polices, e.g., issued by scientific institutes and research organizations. Typically these regulations include definitions to protect the data privacy and security throughout the entire lifecycle of the scientific data. Beginning from the...

    Provided By IARIA

  • White Papers // Jan 2013

    Parallel Processing of Multiple Graph Queries Using MapReduce

    Recently the volume of the graph data set is often too large to be processed with a single machine in a timely manner. A multi-user environment deteriorates this situation with many graph queries given by multiple users. In this paper, the authors address the problem of processing multiple graph queries...

    Provided By IARIA

  • White Papers // Jan 2013

    Parallel Genetic Algorithm Model to Extract Association Rules

    Over the past generation, the process of discovering interesting association rules in data mining and knowledge discovery has become a cornerstone of contemporary decision support environments. While most of the existing algorithms do indeed focus on discovering high interestingness and accuracy relationships between items in the databases, they tend to...

    Provided By IARIA

  • White Papers // Jan 2013

    Comparison of Subspace Projection Method With Traditional Clustering Algorithms for Clustering Electricity Consumption Data

    There are many studies about using traditional clustering algorithms like K-means, SOM and Two-Step algorithms to cluster electricity consumption data for definition of representative consumption patterns or for further classification and prediction work. However, these approaches are lack of scalability with high dimensions. Nevertheless, they are widely used, because algorithms...

    Provided By IARIA

  • White Papers // Jan 2013

    An Approach for Dynamic Materialization of Aggregates in Mixed Application Workloads

    Aggregate queries are one of the most resource intensive operations for databases systems. Despite scanning and processing large data sets, they only return relatively small outputs, making them predestined for reuse in future queries. The challenge is to manage the infinite number of possible data areas that can be selected...

    Provided By IARIA

  • White Papers // Jan 2013

    About Summarization in Large Fuzzy Databases

    Moved by the need increased for modeling of the fuzzy data, the success of the systems of exact generation of summary of data, the authors propose in this paper a new approach of generation of summary from fuzzy data called \"Fuzzy-SaintEtiQ\". This approach is an extension of the SaintEtiQ model...

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  • White Papers // Jan 2013

    An Implementation Model for Managing Data and Service Semantics in Systems Integration

    The ubiquity of data, services and computing devices demands a higher level of understanding of their real nature if one wants to create value-added services based on them. The human brain can understand the concepts behind these artifacts and find appropriate conceptual links easily, however, by applying semantic technologies (ontologies,...

    Provided By IARIA

  • White Papers // Jan 2013

    Explanations of Recommendations Considering Human Factors in Recommender Systems

    Traditional evaluation metrics based on statistical formulas employed to assess the performance of a recommender system are now considered to be inadequate when utilized solely. New metrics considering the quality of user-system interaction alongside with traditional ones have been proposed in evaluation process in order to arrive at more adequate...

    Provided By IARIA

  • White Papers // Jan 2013

    Shrinking Data Balls in Metric Indexes

    Some of the existing techniques for approximate similarity retrieval in metric spaces are focused on shrinking the query region by user-defined parameter. The authors modify this approach slightly and present a new approximation technique that shrinks data regions instead. The proposed technique can be applied to any metric indexing structure...

    Provided By IARIA

  • White Papers // Jan 2013

    Clustering XML Data Streams by Structure based on Sliding Windows and Exponential Histograms

    To group online XML data streams by structure, this paper introduces an algorithm named the CXDSS-SWEH. It is a dynamic clustering algorithm based on sliding windows and exponential histograms. Firstly, the algorithm formalizes an XML document into a structure synopsis named Temporal Cluster Feature for XML Structure (TCFXS). Secondly, it...

    Provided By IARIA

  • White Papers // Jan 2013

    Capturing the History and Change Structure of Evolving Data

    Evo-graph is a model for data evolution that encompasses multiple versions of data and treats changes as first-class citizens. A change in evo-graph can be compound, comprising disparate changes, and is associated with the data items it affects. In previous papers, the authors have shown that recording data evolution with...

    Provided By IARIA

  • White Papers // Jan 2013

    Provenance Policies for Subjective Filtering of the Aggregated Linked Data

    As part of LOD2.eu project and OpenData.cz initiative, the authors are developing an ODCleanStore framework enabling management of governmental linked data and providing web applications with a possibility to consume cleaned and integrated governmental linked data; the provided data is accompanied with data provenance and a quality score based on...

    Provided By IARIA

  • White Papers // Jan 2013

    Merging Multidimensional Data Models: A Practical Approach for Schema and Data Instances

    Meta-model merging is the process of incorporating data models into an integrated, consistent model against which accurate queries may be processed. Within the data warehousing domain, the integration of data marts is often time-consuming. In this paper, the authors introduce an approach for the integration of relational star schemas, which...

    Provided By IARIA

  • White Papers // Jan 2013

    Aspects of Append-Based Database Storage Management on Flash Memories

    New storage technologies, such as Flash and Non-Volatile Memories, with fundamentally different properties are appearing. Leveraging their performance and endurance requires a redesign of existing architecture and algorithms in modern high performance databases. Multi-Version Concurrency Control (MVCC) approaches in database systems, maintain multiple time-stamped versions of a tuple. Once a...

    Provided By IARIA

  • White Papers // Jan 2013

    A Comparison of MapReduce and Parallel Database Management Systems

    Businesses have come to rely on their data warehouse as a key component in their information technology infrastructure. The costs of the architecture to support these environments are significant. Therefore, choosing the wrong architecture can be a very costly decision. However, considerable confusion exists in relation to MapReduce and parallel...

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  • White Papers // Jan 2013

    A Validation Model of Data Input for Web Services

    Web services inherited many well-known security problems of web applications and brought new ones. Major data breaches today are consequences of bad input validation at the application level. This paper presents a way to implement an input validation model for web services which can be used to prevent cross-site scripting...

    Provided By IARIA

  • White Papers // Jul 2011

    An Approach for Distributed Streams Mining Using Combination of Na?ve Bayes and Decision Trees

    Now-a-days the people have various kinds of data generated at high speed in distributed environment. In many cases, it is difficult or unallowed to gather all the distributed data into a central place for processing. So the people have to perform part of the work at the location where data...

    Provided By IARIA

  • White Papers // Jul 2011

    Systems Biology Warehousing: Challenges and Strategies toward Effective Data Integration

    The rapid development of genomics, proteomics, metabolomics and structural genomics techniques have provided an unprecedented amount of data, enabling system-wide biological research. Although information integration has been well investigated in database theory research, biological data present numerous challenges from the lack of standard formats to data inconsistencies resulting from experimental...

    Provided By IARIA

  • White Papers // Jul 2011

    Studying the Impact of Partition on Data Reduction for Very Large Spatiotemporal Datasets

    Now-a-days, huge amounts of data are being collected with spatial and temporal components from sources such as metrological, satellite imagery etc. Efficient visualisation as well as discovery of useful knowledge from these datasets is therefore very challenging and becoming a massive economic need. Data Mining has emerged as the technology...

    Provided By IARIA

  • White Papers // Jul 2011

    SQRM: An Effective Solution to Suspicious Users in Database

    Since traditional database mechanisms such as identity authentication and access control, can be fooled by authorized but malicious users, to solving the problems, three key techniques namely intrusion detection, damage quarantine and recovery are studied for decades to implement survival database systems. However, these techniques are all built on identification...

    Provided By IARIA

  • White Papers // Jul 2011

    Managing and Processing Office Documents in Oracle XML Database

    Office Open XML, an XML-based file format for office data, has been standardized, adopted by Microsoft Office 2007 and supported by other major office suites like OpenOffice. The question the authors try to answer in this paper is where Oracle XML DataBase (XMLDB) stands with respect to the new advances...

    Provided By IARIA

  • White Papers // Jul 2011

    An Algorithm for Clustering XML Data Stream Using Sliding Window

    This paper proposes an algorithm for clustering XML data stream using sliding window. It is a dynamic clustering algorithm based on XML structure. Firstly, the authors use level structure to represent XML document, which is based on temporal clustering feature. This structure is suitable for extracting information from XML document...

    Provided By IARIA

  • White Papers // Jul 2011

    Efficient Access to Non-Sequential Elements of a Search Tree

    This paper describes how a search tree can be extended in order to allow efficient access to predefined subsets of the stored elements. This is achieved by marking some of the elements of the search tree with marker bits. The authors show that their approach does not affect the asymptotic...

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  • White Papers // Jul 2013

    Maturing the Distribution of Supportive Tasks in Web Service Framework: Security and Reliability

    Security and reliability are the crucial features of distributed computing, of which one of the key enabling technologies is Web Service. In a service execution, the main task is carried out by endpoint logic, which is supported by additive functionalities and/or capabilities, called Web Service handlers. The handlers can be...

    Provided By IARIA

  • White Papers // Feb 2012

    Sparse Dictionaries for In-Memory Column Stores

    A common approach to achieve high read and write performance for column-oriented in-memory databases is to separate the data store into a read-optimized main partition and a write-optimized differential buffer. The differential buffer has to be merged into the main partition periodically to preserve read performance and increase memory efficiency....

    Provided By IARIA

  • White Papers // Feb 2012

    Improving the Quality of Knowledge Discovery Process by Information Gain Computing

    Knowledge discovery process is one of the key activities in improving the quality of a system. This paper presents a custom approach for improving the quality of a knowledge discovery process based on information gain computing. The baseline knowledge discovery process is based of M Trees and is used to...

    Provided By IARIA

  • White Papers // Feb 2012

    Towards Accurate Electricity Load Forecasting in Smart Grids

    Smart grids, or intelligent electricity grids that utilize modern IT/communication/control technologies, become a global trend nowadays. Forecasting of future grid load (electricity usage) is an important task to provide intelligence to the smart gird. Accurate forecasting will enable a utility provider to plan the resources and also to take control...

    Provided By IARIA

  • White Papers // Feb 2012

    On Parallel Evaluation of SPARQL Queries

    The Semantic Web databases are growing bigger and much effort is given to introduce new approaches to querying them effectively. Most of the current approaches are based on query optimization or their parallel or distributed run. However, they do not fully benefit from potential of the modern, multicore computers in...

    Provided By IARIA

  • White Papers // Feb 2012

    Clustering Large-Scale, Distributed Software Component Repositories

    In software component repositories, search engines have to deal with challenges related to storage space requirements for indexing semi-structured data models, which are adopted for representing syntactic and semantic features of software assets. In such a context, clustering techniques seem to be attractive for reducing the number of assets in...

    Provided By IARIA

  • White Papers // Feb 2012

    Basic Components for Building Column Store-Based Applications

    A constantly increasing CPU-memory gap as well as steady growth of main memory capacities has increased interest in column store systems due to potential performance gains within the realm of database solutions. In the past several monolithic systems have reached maturity in the commercial and academic space. However a framework...

    Provided By IARIA

  • White Papers // Feb 2012

    Leveraging Compression in In-Memory Databases

    Recently, there has been a trend towards column-oriented databases, which in most cases apply lightweight compression techniques to improve read access. At the same time, in-memory databases become reality due to availability of huge amounts of main memory. In-memory databases achieve their optimal performance by building up cache-aware algorithms based...

    Provided By IARIA

  • White Papers // Feb 2012

    A System Overview for NetCDF-FastBit Integration

    As highly advanced sensors began to penetrate into the awareness of the disparate scientific fields, many researchers found themselves grappling with the need to store and usably interact with vast amounts of data. This paper discusses the creation of a FastBit bitmap index from the contents of a netCDF file....

    Provided By IARIA

  • White Papers // Jan 2013

    On Using Object-Relational Technology for Querying LOD Repositories

    Query engines for managing RDF repositories based on relational technology represent an alternative to query engines based on triple-stores. The paper presents adaptation of object-relational technology for managing RDF data. The architecture of query engine for RDF databases is proposed: mapping of RDF graph model to object-relational representation is described,...

    Provided By IARIA

  • White Papers // Jan 2013

    Using Social Network Information to Identify User Contexts for Query Personalization

    In recent years, social networks have gained a huge popularity among internet users, serving diverse purposes and communities. Meanwhile, in data-oriented applications, the increasing amount of available data has made it hard for users to find the information they need in the way they consider relevant. To help matters, a...

    Provided By IARIA

  • White Papers // Jan 2013

    Finding Nearest Neighbors for Multi-Dimensional Data

    As one of the important research topics in the data mining field, the nearest neighbor search problem has been studied and various approaches have been proposed in different research scenarios. For example proposes a scheme for nearest neighbor search by hashing data points from a data set, so that for...

    Provided By IARIA

  • White Papers // Jan 2013

    Optimization of SuperSQL Execution by Query Decomposition

    SuperSQL is an extension of SQL that allows formatting and publishing of database contents into various kinds of application data directly as a result of a query. Possible application data output formats include, but are not limited to, HTML, PDF, XML, XLS, and Ajax-driven pages. Originally, the SuperSQL query is...

    Provided By IARIA

  • White Papers // Jan 2013

    Considerations About Implementation Variants for Position Lists

    Within \"Traditional\" database systems (row store), the values of a tuple are usually stored in a physically connected manner. In a column store by contrast, all values of each single column are stored one after another. This orthogonal storage organization has the advantage that only data from columns which are...

    Provided By IARIA

  • White Papers // Jan 2013

    Mapping XML to Key-Value Database

    XML is a popular data format used in many software applications. Native XML databases can be used for persistence of XML documents or the document can be stored in a relational database. In this paper, the authors propose an alternative storage for XML documents based on key-value databases. They propose...

    Provided By IARIA

  • White Papers // Jan 2013

    Typing XPath Subexpressions With Respect to an XML Schema

    This paper discusses typing XPath sub-expressions with respect to an XML schema, which is a new static analysis problem of XPath expressions. More formally, the typing problem is to decide whether there exists an XML document conforming to a given XML schema such that the nodes of the document matching...

    Provided By IARIA

  • White Papers // Jan 2013

    Shrinking Data Balls in Metric Indexes

    Some of the existing techniques for approximate similarity retrieval in metric spaces are focused on shrinking the query region by user-defined parameter. The authors modify this approach slightly and present a new approximation technique that shrinks data regions instead. The proposed technique can be applied to any metric indexing structure...

    Provided By IARIA

  • White Papers // Jan 2013

    Clustering XML Data Streams by Structure based on Sliding Windows and Exponential Histograms

    To group online XML data streams by structure, this paper introduces an algorithm named the CXDSS-SWEH. It is a dynamic clustering algorithm based on sliding windows and exponential histograms. Firstly, the algorithm formalizes an XML document into a structure synopsis named Temporal Cluster Feature for XML Structure (TCFXS). Secondly, it...

    Provided By IARIA

  • White Papers // Jan 2013

    Capturing the History and Change Structure of Evolving Data

    Evo-graph is a model for data evolution that encompasses multiple versions of data and treats changes as first-class citizens. A change in evo-graph can be compound, comprising disparate changes, and is associated with the data items it affects. In previous papers, the authors have shown that recording data evolution with...

    Provided By IARIA

  • White Papers // Sep 2011

    Enterprise Knowledge Modeling and Data Mining Integration

    The rapid development of Business Intelligence (BI) systems requires elicitation of enterprise management experience as knowledge and using it for development of Intelligent Information Systems. It is important to develop an adequate business model that matches the organization's management information interactions. The enterprise modeling for Information Systems (IS) engineering is...

    Provided By IARIA

  • White Papers // Sep 2011

    Ontology-Based Foundations for Data Integration

    The integration of data is one of the most complicated tasks which need to be addressed by IT researchers. Despite the critical importance, the current approaches to semantic interoperability of heterogeneous databases have not been sufficiently effective. The authors apply an idea of ontology as the foundation for data integration....

    Provided By IARIA

  • White Papers // Sep 2011

    Facilitating Business Process Discovery Using Email Analysis

    Extracting business process models from stakeholders in large organizations is a very difficult, if not impossible, task. Many obstacles such as tacit knowledge, inaccurate descriptions of processes and miscommunication prevent process engineers from ascertaining what the business processes actually are. Data sources that represent the communications can be a good...

    Provided By IARIA

  • White Papers // Sep 2011

    ValidKI: A Method for Designing Key Indicators to Monitor the Fulfillment of Business Objectives

    In this paper, the authors present their method ValidKI for designing key indicators to monitor the fulfillment of business objectives. A set of key indicators is valid with respect to a business objective if it can be used to measure the degree to which the business or relevant part thereof...

    Provided By IARIA

  • White Papers // Jul 2012

    Discovering Cross-Perspective Semantic Definitions From Process Execution Logs

    In this paper, the authors suggest a two-phase declarative process mining approach discovering explicit, cross-perspective semantic definitions. Cross-perspective semantic definitions are interesting and important for the analysis of business processes, because they reveal dependencies that are not obvious on the first look. They allow for a comprehensive examination of the...

    Provided By IARIA

  • White Papers // Jul 2012

    Business Process Simulation for Predictions: With focus on decision mining and execution time of tasks

    Simulation can be used for analysis, prediction and optimization of business processes. But models often differ from reality. Data mining techniques can be used for improving these models based on observations of process and resource behavior from detailed event logs. More accurate process models can be used not only for...

    Provided By IARIA

  • White Papers // Jul 2012

    Transformation Framework for SBVR Based Semantic Queries in Business Information Systems

    The paper presents transformation framework from questions in structured language based on Semantics of Business Vocabulary and Rules (SBVR) into SPARQL queries over ontologies defined in Web Ontology Language OWL 2 and, possibly, supplemented with Semantic Web rules SWRL. Such transformation depends on OWL 2 ontology related with corresponding SBVR...

    Provided By IARIA

  • White Papers // Jul 2012

    Context-Based Adaptation of Process Definition

    There are several ways to reach a goal. The right way often depends on the context of the process that produces the desired product. The context can be understood as a set of conditions including changing requirements and resource properties. The method described in this paper is a possible way...

    Provided By IARIA

  • White Papers // Jul 2012

    Using Network-Based Business Process Analysis as a Tool for Delta Analysis of Process Models

    Business process models are often crucial for business software development. Using reference models or merged processes, software producers intend to optimize the development effort for enterprises of the same domain. Thus, it is important to know how to assess the similarity between the process and the reference or merged process...

    Provided By IARIA

  • White Papers // Jul 2012

    Workload Characterization for Stability-As-A-Service

    Stability-As-A-Service is critical for data centers and workload characterization is one of the essential services within Stability-As-A Service. Different solutions have been proposed in the past for characterizing various system properties, however most of these approaches often require high levels of instrumentation and intrusiveness. This makes their use difficult in...

    Provided By IARIA

  • White Papers // Jul 2012

    An Approach to Find Integration and Monitoring Points for Container Logistics Business Processes

    An end-to-end intermodal container transportation usually requires business processes of various enterprises to work together in a fast, accurate, reliable and secure way. This can be achieved with integrated business services, which are monitored constantly for the above mentioned quality objectives. Although there is academic research currently available for the...

    Provided By IARIA

  • White Papers // Jul 2012

    Community-Commerce Brokering Arena for Opportunistic Cloud Services Offerings

    Community clouds are formed when a cloud infrastructure is created to support the needs of multiple, independent service consumers that have shared concerns. Such infrastructures may allow member organizations to share resources on an opportunistic basis, i.e., one entity may provide services to the other members during off-peak times, and...

    Provided By IARIA

  • White Papers // May 2013

    Towards Semantic-Supported SmartLife System Architectures for Big Data Services in the Cloud

    SmartLife applications are emerging as intelligent user-centered systems that will shape future trends in technology and communication. The development of such applications integrates web services, cloud computing, and big data management, among other frameworks and methods. The authors' paper reports on new perspectives of services and cloud computing architectures for...

    Provided By IARIA

  • White Papers // Jul 2011

    Business Protocol Monitoring

    Because it is never sure that a business process successfully tested or statistically checked will have the expected behaviour during its execution, it is necessary to bring verification to the execution phase, by continuously observing and checking the correct behaviour of business processes during run-time. In this paper, the authors...

    Provided By IARIA