60,509 research outputs found
Discovering the Impact of Knowledge in Recommender Systems: A Comparative Study
Recommender systems engage user profiles and appropriate filtering techniques
to assist users in finding more relevant information over the large volume of
information. User profiles play an important role in the success of
recommendation process since they model and represent the actual user needs.
However, a comprehensive literature review of recommender systems has
demonstrated no concrete study on the role and impact of knowledge in user
profiling and filtering approache. In this paper, we review the most prominent
recommender systems in the literature and examine the impression of knowledge
extracted from different sources. We then come up with this finding that
semantic information from the user context has substantial impact on the
performance of knowledge based recommender systems. Finally, some new clues for
improvement the knowledge-based profiles have been proposed.Comment: 14 pages, 3 tables; International Journal of Computer Science &
Engineering Survey (IJCSES) Vol.2, No.3, August 201
Ontology: Towards a new synthesis
This introduction to the second international conference on Formal Ontology and
Information Systems presents a brief history of ontology as a discipline spanning the boundaries of philosophy and information science. We sketch some of the reasons for the growth of ontology in the information science field, and offer a preliminary stocktaking of how the term ‘ontology’ is currently used. We conclude by suggesting some grounds for optimism as concerns the future collaboration between philosophical ontologists and information scientists
The generation of e-learning exercise problems from subject ontologies
The teaching/ learning of cognitive skills, such as
problem-solving, is an important goal in most forms of
education. In well-structured subject areas certain
exercise problem types may be precisely described by
means of machine-processable knowledge structures
or ontologies. These ontologies can readily be used to
generate individual problem examples for the student,
where each problem consists of a question and its
solution. An example is given from the subject domain
of computer databases
Informaticology: combining Computer Science, Data Science, and Fiction Science
Motivated by an intention to remedy current complications with Dutch
terminology concerning informatics, the term informaticology is positioned to
denote an academic counterpart of informatics where informatics is conceived of
as a container for a coherent family of practical disciplines ranging from
computer engineering and software engineering to network technology, data
center management, information technology, and information management in a
broad sense.
Informaticology escapes from the limitations of instrumental objectives and
the perspective of usage that both restrict the scope of informatics. That is
achieved by including fiction science in informaticology and by ranking fiction
science on equal terms with computer science and data science, and framing (the
study of) game design, evelopment, assessment and distribution, ranging from
serious gaming to entertainment gaming, as a chapter of fiction science. A
suggestion for the scope of fiction science is specified in some detail.
In order to illustrate the coherence of informaticology thus conceived, a
potential application of fiction to the ontology of instruction sequences and
to software quality assessment is sketched, thereby highlighting a possible
role of fiction (science) within informaticology but outside gaming
Identification of Design Principles
This report identifies those design principles for a (possibly new) query and transformation
language for the Web supporting inference that are considered essential. Based upon these
design principles an initial strawman is selected. Scenarios for querying the Semantic Web
illustrate the design principles and their reflection in the initial strawman, i.e., a first draft of
the query language to be designed and implemented by the REWERSE working group I4
Logic Programming Applications: What Are the Abstractions and Implementations?
This article presents an overview of applications of logic programming,
classifying them based on the abstractions and implementations of logic
languages that support the applications. The three key abstractions are join,
recursion, and constraint. Their essential implementations are for-loops, fixed
points, and backtracking, respectively. The corresponding kinds of applications
are database queries, inductive analysis, and combinatorial search,
respectively. We also discuss language extensions and programming paradigms,
summarize example application problems by application areas, and touch on
example systems that support variants of the abstractions with different
implementations
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