Digging Into Software Knowledge Generation In Cultural Heritage: Modeling Assistance Strategies For Large Archaeological Data Sets (modeling And Optimization In Science And Technologies)
by Patricia Martin-Rodilla /
2017 / English / PDF
12.2 MB Download
This book focuses on innovative strategies to manage and build
software systems for generating new knowledge from large
archaeological data sets
This book focuses on innovative strategies to manage and build
software systems for generating new knowledge from large
archaeological data sets
The book also reports on two case studies carried out in
real-world scenarios within the Cultural Heritage setting. The
book presents an original conceptual framework for developing
software solutions to assist the knowledge generation process in
connection with large archaeological data sets and related
cultural heritage information― a context in which the inputs are
mainly textual sources written in freestyle, i.e. without a
predetermined, standard structure.
The book also reports on two case studies carried out in
real-world scenarios within the Cultural Heritage setting. The
book presents an original conceptual framework for developing
software solutions to assist the knowledge generation process in
connection with large archaeological data sets and related
cultural heritage information― a context in which the inputs are
mainly textual sources written in freestyle, i.e. without a
predetermined, standard structure.
Following an in-depth exploration of recent works on the
knowledge generation process in the above-mentioned context and
IT-based options for facilitating it, the book proposes specific
new techniques capable of capturing the structure and semantics
implicit in such textual sources, and argues for using this
information in the knowledge generation process.
Following an in-depth exploration of recent works on the
knowledge generation process in the above-mentioned context and
IT-based options for facilitating it, the book proposes specific
new techniques capable of capturing the structure and semantics
implicit in such textual sources, and argues for using this
information in the knowledge generation process.
The main result is the development of a conceptual framework that
can accommodate textual sources and integrate the information
included in them into a software engineering framework. The said
framework is meant to assist cultural heritage professionals in
general, and archaeologists in particular, in both knowledge
extraction and the subsequent decision-making process.
The main result is the development of a conceptual framework that
can accommodate textual sources and integrate the information
included in them into a software engineering framework. The said
framework is meant to assist cultural heritage professionals in
general, and archaeologists in particular, in both knowledge
extraction and the subsequent decision-making process.
