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Ontology Based Semantic Data Integration In The Domain Of It Benchmarking
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Book Synopsis Ontology-based Semantic Data Integration in the Domain of IT Benchmarking by : Matthias Pfaff
Download or read book Ontology-based Semantic Data Integration in the Domain of IT Benchmarking written by Matthias Pfaff and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Ontology for Semantic Data Integration in the Domain of IT Benchmarking by : Matthias Pfaff
Download or read book Ontology for Semantic Data Integration in the Domain of IT Benchmarking written by Matthias Pfaff and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A domain-specific ontology for IT benchmarking has been developed to bridge the gap between a systematic characterization of IT services and their data-based valuation. Since information is generally collected during a benchmark exercise using questionnaires on a broad range of topics, such as employee costs, software licensing costs, and quantities of hardware, it is commonly stored as natural language text; thus, this information is stored in an intrinsically unstructured form. Although these data form the basis for identifying potentials for IT cost reductions, neither a uniform description of any measured parameters nor the relationship between such parameters exists. Hence, this work proposes an ontology for the domain of IT benchmarking. The design of this ontology is based on requirements mainly elicited from a domain analysis, which considers analyzing documents and interviews with representatives from Small- and Medium-Sized Enterprises and Information and Communications Technology companies over the last eight years. The development of the ontology and its main concepts is described in detail (i.e., the conceptualization of benchmarking events, questionnaires, IT services, indicators and their values) together with its alignment with the DOLCE-UltraLite foundational ontology.
Book Synopsis Semantic Data Mining by : A. Ławrynowicz
Download or read book Semantic Data Mining written by A. Ławrynowicz and published by IOS Press. This book was released on 2017-04-18 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining – a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies and knowledge graphs, rather than only purely empirical data. The introductory chapters of the book provide theoretical foundations of both data mining and ontology representation. Taking a unified perspective, the book then covers several methods for semantic data mining, addressing tasks such as pattern mining, classification and similarity-based approaches. It attempts to provide state-of-the-art answers to specific challenges and peculiarities of data mining with use of ontologies, in particular: How to deal with incompleteness of knowledge and the so-called Open World Assumption? What is a truly “semantic” similarity measure? The book contains several chapters with examples of applications of semantic data mining. The examples start from a scenario with moderate use of lightweight ontologies for knowledge graph enrichment and end with a full-fledged scenario of an intelligent knowledge discovery assistant using complex domain ontologies for meta-mining, i.e., an ontology-based meta-learning approach to full data mining processes. The book is intended for researchers in the fields of semantic technologies, knowledge engineering, data science, and data mining, and developers of knowledge-based systems and applications.
Book Synopsis Semantic Data Mining by : Agnieszka Ławrynowicz
Download or read book Semantic Data Mining written by Agnieszka Ławrynowicz and published by . This book was released on 2017 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining--a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies and knowledge graphs, rather than only purely empirical data."--page [4] of cover.
Book Synopsis Ontology-Based Semantic Data Integration by : Marcello Leida
Download or read book Ontology-Based Semantic Data Integration written by Marcello Leida and published by LAP Lambert Academic Publishing. This book was released on 2010-05 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book embraces several aspects of Data Integration, focusing on semantic heterogeneity. A first step toward solving the problem of semantic heterogeneity is to formally specify the meaning of the terminology used in the integration system and to use that definition to access the integrated information. Ontologies are the most promising technology to achieve this aim. Real Time data translation is obtained through a mapping which contains the necessary instructions about the localisation of the information, the assembling directives and how the final data is presented. Therefore, the quality of mapping reflects accuracy and reliability of the data integration system. This book provides several contributions to research in data integration systems: starting from the architectural point of view, we define a system based on several ontologies that are used to describe the meta-data involved in the different integration steps. A novel formalisation of mapping language, able to deal efficiently with different data semantics is then presented, along with an innovative approach to automatically generate the mapping schema.
Book Synopsis Advances in Intelligent Systems and Computing III by : Natalia Shakhovska
Download or read book Advances in Intelligent Systems and Computing III written by Natalia Shakhovska and published by Springer. This book was released on 2018-11-19 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on data mining and knowledge extraction technologies, as well as central issues in intelligent information management. Written by active researchers, the respective chapters are based on papers presented at the International Conference on Computer Science and Information Technologies (CSIT 2018), held on September 11–14, 2018, in Lviv, Ukraine, and jointly organized by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.
Book Synopsis Information Sharing on the Semantic Web by : Heiner Stuckenschmidt
Download or read book Information Sharing on the Semantic Web written by Heiner Stuckenschmidt and published by Springer Science & Business Media. This book was released on 2005-11-21 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Details recent research in areas such as ontology design for information integration, metadata generation and management, and representation and management of distributed ontologies. Provides decision support on the use of novel technologies, information about potential problems, and guidelines for the successful application of existing technologies.
Book Synopsis Ontology-Based Data Access Leveraging Subjective Reports by : Gerardo I. Simari
Download or read book Ontology-Based Data Access Leveraging Subjective Reports written by Gerardo I. Simari and published by Springer. This book was released on 2017-09-22 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user’s preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as a set of scores for a list of features, its author’s preferences among the features, as well as other information is discussed in this brief. These pieces of information for every report are then combined, along with the querying user’s preferences and their trust in each report, to rank the query results. Everyday examples of this setup are the online reviews that can be found in sites like Amazon, Trip Advisor, and Yelp, among many others. Throughout this knowledge engineering effort the authors adopt the Datalog+/– family of ontology languages as the underlying knowledge representation and reasoning formalism, and investigate several alternative ways in which rankings can b e derived, along with algorithms for top-k (atomic) query answering under these rankings. This SpringerBrief also investigate assumptions under which our algorithms run in polynomial time in the data complexity. Since this SpringerBrief contains a gentle introduction to the main building blocks (OBDA, Datalog+/-, and reasoning with preferences), it should be of value to students, researchers, and practitioners who are interested in the general problem of incorporating user preferences into related formalisms and tools. Practitioners also interested in using Ontology-based Data Access to leverage information contained in reviews of products and services for a better customer experience will be interested in this brief and researchers working in the areas of Ontological Languages, Semantic Web, Data Provenance, and Reasoning with Preferences.
Download or read book Journal on Data Semantics X written by and published by Springer. This book was released on 2008-01-18 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS Journal on Data Semantics is devoted to the presentation of notable work that addresses research and development on issues related to data semantics. Based on the highly visible publication platform Lecture Notes in Computer Science, this journal is widely disseminated and available worldwide. The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge.
Book Synopsis Journal on Data Semantics XIII by : Il-Yeol Song
Download or read book Journal on Data Semantics XIII written by Il-Yeol Song and published by Springer. This book was released on 2010-01-18 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working on the semantic web, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, conceptual database modeling, ontologies, and artificial intelligence. Volume XIII constitutes a special issue on semantic data warehouses. The papers in this volume address several topics within this relatively new domain, providing different insights into the multiple benefits that can be gained by envisioning data warehouses from a semantic perspective. These papers broach many new ideas to be addressed in future work.
Book Synopsis Ontology-Based Information Integration by : Andreas Langegger
Download or read book Ontology-Based Information Integration written by Andreas Langegger and published by Sudwestdeutscher Verlag Fur Hochschulschriften AG. This book was released on 2010-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrated access to distributed, heterogeneous information sources is becoming more and more important for organizations, research collaborations, and businesses in order to efficiently manage and leverage existing knowledge. In this book a novel approach for virtual information integration based on Semantic Web technologies is presented. Compared to traditional approaches, the system is able to integrate distributed, heterogeneous data sources based on ontologies. This strategy enables a concept- based approach, where data is described based on its meaning, instead of a functional data model. The presented approach is very flexible, since no explicit global schema needs to be maintained. New data sources are mapped to domain ontologies published on the Web (or intranet) and once they are registered at the system, they can be transparently accessed together with all the other information based on powerful semantic queries. Combined with latest research towards new graphical user interfaces for Linked Data on the Semantic Web, the proposed approach is well suited for large-scale collaborative knowledge sharing in research as well as in the industry.
Book Synopsis Applications and Developments in Semantic Process Mining by : Okoye, Kingsley
Download or read book Applications and Developments in Semantic Process Mining written by Okoye, Kingsley and published by IGI Global. This book was released on 2020-04-10 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology becomes increasingly intelligent, various factors within the field of data science are seeing significant transformation. Process analysis is one area that is undergoing substantial development due to the implementation of semantic reasoning and web technologies. The congruence of these two systems has created various applications and developments in data processing and analysis across several professional fields. Applications and Developments in Semantic Process Mining is an essential reference source that discusses the improvement of process mining algorithms through the implementation of semantic modeling and representation. Featuring research on topics such as domain ontologies, fuzzy modeling, and information extraction, the book takes into account the different stages of process mining and its application in real time and then expounds the classical process mining techniques to semantical preparation of the extracted models for further analysis and querying at a more abstract level. The book provides a wide-ranging idea of the application and development of semantic process mining that is expected to be beneficial and used by professionals, software and data engineers, software developers, IT experts, business owners and entrepreneurs, and process analysts.
Book Synopsis Benchmarking Semantic Web Technology by : R. García-Castro
Download or read book Benchmarking Semantic Web Technology written by R. García-Castro and published by IOS Press. This book was released on 2009-12-07 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the problem of benchmarking Semantic Web Technologies; first, from a methodological point of view, proposing a general methodology to follow in benchmarking activities over Semantic Web Technologies and, second, from a practical point of view, presenting two international benchmarking activities that involved benchmarking the interoperability of Semantic Web technologies using RDF(S) as the interchange language in one activity and OWL in the other. The book presents in detail how the different resources needed for these interoperability benchmarking activities were defined: the experiments, the benchmark suites, and the software that support the process. Furthermore, the book invites practitioners to reach a continuous improvement of semantic technologies by means of their continuous evaluation and presents futures lines of research.
Book Synopsis Formal Ontology in Information Systems by : S. Borgo
Download or read book Formal Ontology in Information Systems written by S. Borgo and published by IOS Press. This book was released on 2018-09-28 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA). Its interdisciplinary research focus lies at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science, as well as in the applications of ontological analysis to conceptual modeling, knowledge engineering, knowledge management, information-systems development, library and information science, scientific research, and semantic technologies in general. This volume presents the proceedings of FOIS 2018, held in Cape Town, South Africa, from 19-21 September. It was the 10th edition and 20th anniversary of the conference series. The volume contains 19 papers grouped into 4 sections: Foundations (7 papers), Agents and Properties (4 papers), Methods and Tools (4 papers), and Applications (4 papers). Regarding the applications of ontologies, a broad spectrum of areas is covered, including in particular biology and medicine, IoT, engineering and linguistics. Formal Ontology in Information Systems - Proceedings of the 10th International Conference (FOIS 2018) will be of interest to researchers from all disciplines with an interest in formal ontology.
Book Synopsis The Semantic Web. Latest Advances and New Domains by : Fabien Gandon
Download or read book The Semantic Web. Latest Advances and New Domains written by Fabien Gandon and published by Springer. This book was released on 2015-05-20 with total page 839 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th Extended Semantic Web Conference, ESWC 2014, held in Anissaras, Portoroz, Slovenia, in May/June 2015. The 43 revised full papers presented together with three invited talks were carefully reviewed and selected from 164 submissions. This program was completed by a demonstration and poster session, in which researchers had the chance to present their latest results and advances in the form of live demos. In addition, the PhD Symposium program included 12 contributions, selected out of 16 submissions. The core tracks of the research conference were complemented with new tracks focusing on linking machine and human computation at web scale (cognition and Semantic Web, Human Computation and Crowdsourcing) beside the following subjects Vocabularies, Schemas, Ontologies, Reasoning, Linked Data, Semantic Web and Web Science, Semantic Data Management, Big data, Scalability, Natural Language Processing and Information Retrieval, Machine Learning, Mobile Web, Internet of Things and Semantic Streams, Services, Web APIs and the Web of Things, Cognition and Semantic Web, Human Computation and Crowdsourcing and In-Use Industrial Track as well.
Book Synopsis Interactive Semantic Source Registration by : Breese S. Stevens
Download or read book Interactive Semantic Source Registration written by Breese S. Stevens and published by . This book was released on 2006 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Ontology Pattern-based Data Integration by : Adila Alfa Krisnadhi
Download or read book Ontology Pattern-based Data Integration written by Adila Alfa Krisnadhi and published by . This book was released on 2015 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data integration is concerned with providing a unified access to data residing at multiple sources. Such a unified access is realized by having a global schema and a set of mappings between the global schema and the local schemas of each data source, which specify how user queries at the global schema can be translated into queries at the local schemas. Data sources are typically developed and maintained independently, and thus, highly heterogeneous. This causes difficulties in integration because of the lack of interoperability in the aspect of architecture, data format, as well as syntax and semantics of the data. This dissertation represents a study on how small, self-contained ontologies, called ontology design patterns, can be employed to provide semantic interoperability in a cross-repository data integration system. The idea of this so-called ontology pattern- based data integration is that a collection of ontology design patterns can act as the global schema that still contains sufficient semantics, but is also flexible and simple enough to be used by linked data providers. On the one side, this differs from existing ontology-based solutions, which are based on large, monolithic ontologies that provide very rich semantics, but enforce too restrictive ontological choices, hence are shunned by many data providers. On the other side, this also differs from the purely linked data based solutions, which do offer simplicity and flexibility in data publishing, but too little in terms of semantic interoperability. We demonstrate the feasibility of this idea through the actual development of a large scale data integration project involving seven ocean science data repositories from five institutions in the U.S. In addition, we make two contributions as part of this dissertation work, which also play crucial roles in the aforementioned data integration project. First, we develop a collection of more than a dozen ontology design patterns that capture the key notions in the ocean science occurring in the participating data repositories. These patterns contain axiomatization of the key notions and were developed with an intensive involvement from the domain experts. Modeling of the patterns was done in a systematic workflow to ensure modularity, reusability, and flexibility of the whole pattern collection. Second, we propose the so-called pattern views that allow data providers to publish their data in very simple intermediate schema and show that they can greatly assist data providers to publish their data without requiring a thorough understanding of the axiomatization of the patterns.