Data Mining - Concepts and Techniques.

Data Mining Practical Machine Learning Tools and Techniques

Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaikos book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, and artificial intelligence. The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content. In particular, the book includes a new chapter dedicated to the methodology for performing ontology matching. It also covers emerging topics, such as data interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and user involvement in matching, to mention a few. More than 100 state-of-the-art matching systems and frameworks were reviewed. With Ontology Matching, researchers and practitioners will find a reference book that presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can be equally applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a systematic and detailed account of matching techniques and matching systems from theoretical, practical and application perspectives.

Ontology Matching

1.. HARD CASES 5. Legal Rights A. Legislation . . . We might therefore do well to consider how a philosophical judge might develop, in appropriate cases, theories of what legislative purpose and legal principles require. We shall find that he would construct these theories in the same manner as a philosophical referee would construct the character of a game. I have invented, for this purpose, a lawyer of superhuman skill, learning, patience and acumen, whom I shall call Hercules. I suppose that Hercules is a judge in some representative American jurisdiction. I assume that he accepts the main uncontroversial constitutive and regulative rules of the law in his jurisdiction. He accepts, that is, that statutes have the general power to create and extinguish legal rights, and that judges have the general duty to follow earlier decisions of their court or higher courts whose rationale, as l

Taking Rights Seriously

In this provocative book, Barwise and Perry tackle the slippery subject of \"meaning, \" a subject that has long vexed linguists, language philosophers, and logicians.

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Situations and Attitudes.

In this paper we review and discuss some recent attempts at ontological re-engineering of REA in the light of the UFO ontology and the OntoUML language, focusing in particular on different choices concerning the UFO notion of relator. We also take this as an opportunity to clarify and revise Guarino and Guizzardi’s general theory of reification and truthmaking proposed in the past.

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On the Ontological Nature of REA Core Relations.

The creation of value is an important concern in organizations. However, current Enterprise Modeling languages all interprete value differently, which has a negative impact on the semantic quality of the model instantiations. This issue need to be solved to increase the relevance of these instantiations for business stakeholders. Therefore, the goal of this paper is the development of a sound Core Value Ontology. In order to do that, we employ a pattern-based ontology engineering approach, which employs the Unified Foundational Ontology.

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The design of a core value ontology using ontology patterns

In a series of publications, we have employed ontological theories and principles to evaluate and improve the quality of conceptual modeling grammars and models. In this article, we continue this work by conducting an ontological analysis to investigate the proper representation of types whose instances are collectives, as well as the representation of a specific part-whole relation involving them, namely, the member-collective relation. As a result, we provide an ontological interpretation for these notions, as well as modeling guidelines for their sound representation in conceptual modeling.

Representing collectives and their members in UML conceptual models: an ontological analysis

One of the main issues that inhibit the development of context-aware mobile applications is the lack of systematic methods for sensor data acquisition. This lack, however, is a result of the diversity of sensor data and its acquisition devices. In face of this, there is a need for general engineering solutions in order to address the common sensor data acquisition concerns. This paper presents a service-oriented architecture that allows the rapid prototyping of sensor data provisioning systems. This architecture is then applied to the Healthcare domain for providing cardiac signals in the scope of a context-aware telemonitoring system. The architecture is defined by entity and behavior models through a service-oriented design (SOD) language that has tool support.

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A service architecture for sensor data provisioning for context-aware mobile applications

The “goal domain” addresses objectives in a broad scope ranging from high-level statements expressing the vision and mission of an organization (or community) to declarations of the results that must be achieved by business process execution. This paper reviews the support for the goal domain in ISO RM-ODP. We analyze the conceptualization for goals (objectives) in the reference model’s Enterprise Viewpoint using a fragment of the Unified Foundational Ontology (UFO) that deals with some aspects of social reality and intentionality. The interpretation of the RM-ODP concepts in terms of this foundation may help to provide a sound underpinning for these concepts and support the identification of possible extensions of the reference model.

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Giancarlo Guizzardi

Papers

On the Ontological Nature of REA Core Relations.

The design of a core value ontology using ontology patterns

Representing collectives and their members in UML conceptual models: an ontological analysis

A service architecture for sensor data provisioning for context-aware mobile applications

On the Goal Domain in the RM-ODP Enterprise Language: An Initial Appraisal Based on a Foundational Ontology