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Conceptual Modeling - ER 2009 - 28th International Conference on Conceptual Modeling, Gramado, Brazil, November 9-12, 2009, Proceedings (Paperback, 2009 ed.)
Alberto H.F. Laender, Silvana Castano, Umeshwar Dayal, Fabio Casati, Jose Palazzo M. de Oliverira
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R3,032
Discovery Miles 30 320
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Ships in 10 - 15 working days
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Conceptual modeling has long been recognized as the primary means
to enable software development in information systems and data
engineering. Conceptual modeling provides languages, methods and
tools to understand and represent the application domain; to
elicit, conceptualize and formalize system requirements and user
needs; to communicate systems designs to all stakeholders; and to
formally verify and validate systems design on high levels of
abstraction. Recently, ontologies added an important tool to
conceptualize and formalize system specification. The International
Conference on Conceptual Modeling - ER - provides the premiere
forum for presenting and discussing current research and
applications in which the major emphasis is centered on conceptual
modeling. Topics of interest span the entire spectrum of conceptual
modeling, including research and practice in areas such as theories
of concepts and ontologies underlying conceptual modeling, methods
and tools for developing and communicating conceptual models, and
techniques for transforming conceptual models into effective
implementations. The scientific program of ER 2009 features several
activities running in parallel.
This book constitutes the refereed proceedings of the 9th International Symposium on String Processing and Information Retrieval, SPIRE 2002, held in Lisbon, Portugal in September 2002.The 19 revised full papers and 6 short papers presented together with 3 invited papers were carefully reviewed and selected from 54 submissions. the papers are organzied in topical sections on string matching, string processing, Web ranking and link analysis, pattern matching, digital libraries and applications, approximate searching, and indexing techniques.
Thisvolumeprovidesacomprehensive,
state-of-the-artsurveyofconceptual- deling. It includes invited
papers, research papers, and abstracts of industrial
presentationsgivenatER2000,
the19thInternationalConferenceonConceptual Modeling,
heldinSaltLakeCity, Utah. Continuinginitslongtraditionofattr- ting
the leading researchers and practitioners in advanced information
systems design and implementation, the conference provided a forum
for presenting and discussing current research and applications in
which the major emphasis was on conceptual modeling. The conference
topics re?ected this strong conceptu- modeling theme while
recognizing important, emerging developments resulting from recent
technological advances. The call for papers for the research track
resulted in the submission of 140
papersfromresearchersaroundtheworld.
Ofthese,37wereselectedforinclusion in the program. The authors of
these papers are from 14 countries. These papers represent a
variety of topics including: - Database integration - Temporal and
active database modeling - Database and data warehouse design
techniques - Analysis patterns and ontologies - Web-based
information systems - Business process modeling - Conceptual
modeling and XML - Engineering and multimedia application modeling
- Object-oriented modeling - Applying object-oriented technology -
Quality in conceptual modeling - Application design using UML Three
internationally recognized scholars in the area of conceptual
modeling also submitted papers and delivered keynote speeches: -
John Mylopoulos: From Entities and Relationships to Social Actors
and - pendencies - Salvatore T. March: Re?ections on Computer
Science and Information - stems Research - PhilipA. Bernstein:
GenericModelManagement-WhyWeNeedItandHow to Get There In addition
to the research papers and invited papers, the conference - cluded
two workshops, two pre-conference full-day tutorials, four short
tuto- als, four industrial sessions, and two provocative panel
discuss
This book deals with a hard problem that is inherent to human
language: ambiguity. In particular, we focus on author name
ambiguity, a type of ambiguity that exists in digital bibliographic
repositories, which occurs when an author publishes works under
distinct names or distinct authors publish works under similar
names. This problem may be caused by a number of reasons, including
the lack of standards and common practices, and the decentralized
generation of bibliographic content. As a consequence, the quality
of the main services of digital bibliographic repositories such as
search, browsing, and recommendation may be severely affected by
author name ambiguity. The focal point of the book is on automatic
methods, since manual solutions do not scale to the size of the
current repositories or the speed in which they are updated.
Accordingly, we provide an ample view on the problem of automatic
disambiguation of author names, summarizing the results of more
than a decade of research on this topic conducted by our group,
which were reported in more than a dozen publications that received
over 900 citations so far, according to Google Scholar. We start by
discussing its motivational issues (Chapter 1). Next, we formally
define the author name disambiguation task (Chapter 2) and use this
formalization to provide a brief, taxonomically organized, overview
of the literature on the topic (Chapter 3). We then organize,
summarize and integrate the efforts of our own group on developing
solutions for the problem that have historically produced
state-of-the-art (by the time of their proposals) results in terms
of the quality of the disambiguation results. Thus, Chapter 4
covers HHC - Heuristic-based Clustering, an author name
disambiguation method that is based on two specific real-world
assumptions regarding scientific authorship. Then, Chapter 5
describes SAND - Self-training Author Name Disambiguator and
Chapter 6 presents two incremental author name disambiguation
methods, namely INDi - Incremental Unsupervised Name Disambiguation
and INC- Incremental Nearest Cluster. Finally, Chapter 7 provides
an overview of recent author name disambiguation methods that
address new specific approaches such as graph-based
representations, alternative predefined similarity functions,
visualization facilities and approaches based on artificial neural
networks. The chapters are followed by three appendices that cover,
respectively: (i) a pattern matching function for comparing proper
names and used by some of the methods addressed in this book; (ii)
a tool for generating synthetic collections of citation records for
distinct experimental tasks; and (iii) a number of datasets
commonly used to evaluate author name disambiguation methods. In
summary, the book organizes a large body of knowledge and work in
the area of author name disambiguation in the last decade, hoping
to consolidate a solid basis for future developments in the field.
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Conceptual Modeling - 38th International Conference, ER 2019, Salvador, Brazil, November 4-7, 2019, Proceedings (Paperback, 1st ed. 2019)
Alberto H.F. Laender, Barbara Pernici, Ee-Peng Lim, Jose Palazzo M. De Oliveira
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R1,652
Discovery Miles 16 520
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 38th
International Conference on Conceptual Modeling, ER 2019, held in
Salvador, Brazil, in November 2019.The 22 full and 22 short papers
presented together with 4 keynotes were carefully reviewed and
selected from 142 submissions. This events covers a wide range of
topics, covered in the following sessions: conceptual modeling, big
data technology I, process modeling and analysis, query approaches,
big data technology II, domain specific models I, domain specific
models II, decision making, complex systems modeling, model
unification, big data technology III, and requirements modeling.
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