1,720,985 research outputs found
Towards a Methodology for Business Process Revision Under Norm and Outcome Compliance
No full textBusiness Process Management approach allows an organisation to control every aspect of its internal processes (also called business processes) to im- prove them continuously, and to achieve at the same time the organisational objectives (or goals) business processes are built for. When the enterprise is seen as an entity embedded in an environment regulated by norms, the concept of norm compliance comes into play. Norm compliance is the alignment of the formal specifications of a (set of) business process(es), and the formal specifications of the set of norms governing the surrounding environment. While this topic gave rise through the years to an entire re- search field (Business Process Compliance), to the best of our knowledge little attention has been given on how enterprises should behave in case of normative changes, or what are the actual implications on regulatory compliance in case of deliberatory process changes. In this situation, or- ganisations have to face important questions. Are business processes still compliant with the normative? And if not, is it possible to recover compli- ance? How to revise business processes and adjust their behaviour with respect to these changes?Thesis (PhD Doctorate)Doctor of Philosophy (PhD)Institute for Integrated and Intelligent SystemsScience, Environment, Engineering and TechnologyFull Tex
Shoo the Spectre of Ignorance with QAASPR - An Open Domain Question Answering Architecture with Semantic Prioritisation of Roles
No full textOpen Domain Question Answering (ODQA) aims at automatically understanding and giving responses to general questions posed in natural language. Nowadays, the ability of a ODQA system is strictly dependent on how valuable information is effectively discovered and extracted from the huge amount of documents on the net – may it be structured (e.g., online datasets), or unstructured (e.g., free text of generic web pages). This, in turn, relies on a proper (i) identification of question keywords to isolate candidate answer passages from documents, and (ii) ranking of the candidate answers to decide which passage contains the correct answer. In this paper we introduce a Question Answering Architecture with Semantic Prioritisation of Roles (QAASPR) where a novel technique of prioritised semantic role labelling (PSRL) is used to optimise such phases. We also share the experimental results collected from a working prototype of QAASPR for the Italian language
Machine learning for energy efficiency - Automatic detection of electric loads from power consumption
No full textThis work deals with the problem of energy efficiency and saving: we present a method to automatically extract behavioral rules from consumption data, so that these rules can be applied or fed to an automatic control system. To extract behavioral rules we shall be able to both (i) define power plants similarity techniques and (ii) analyze and gather rules from data, making the correct assumptions
Internet of Things and artificial intelligence enable energy efficiency
No full textIn smart environments, there is an increasing demand for scalable and autonomous management systems. In this regard, energy efficiency hands out challenging aspects, for both home and business usages. Scalability in energy management systems is particularly difficult in those industry sector where power consumption of branches located in remote areas need to be monitored. Being autonomous requires that behavioural rules are automatically extracted from consumption data and applied to the system. Best practices for the specific energy configuration should be devised to achieve optimal energy efficiency. Best practices should also be revised and applied without human intervention against topology changes. In this paper, the Internet of Things paradigm and machine learning techniques are exploited to (1) define a novel system architecture for centralised energy efficiency in distributed sub-networks of electric appliances, (2) extract behavioural rules, identify best practices and detect device types. A system architecture tailored for autonomous energy efficiency has interesting applications in smart industry—where energy managers may effortlessly monitor and optimally setup a large number of sparse divisions—and smart home—where impaired people may avoid energy waste through an autonomous system that can be employed by the users as a delegate for decision making
Ubiquitous and Pervasive Computing for Real-Time Energy Management and Saving
No full textWe investigate one of the emerging applicability fields of pervasive computing, that is, energy management and saving. We exploit innovative technologies to define a brand new system architecture for (i) centralized monitoring and (ii) real-time energy saving in distributed sub-networks of power consuming electric appliances. The architecture allows the definition of reactive and intelligent systems that take autonomous courses of action on electric devices. We also introduce a prototype which is an embodiment of such architecture, called MyElettr
Two faces of strategic argumentation in the law
No full textIn strategic argumentation players exchange arguments to prove or reject a claim. This paper discusses and reports on research about two basic issues regarding the game-theoretic understanding of strategic argumentation games in the law: whether such games can be reasonably modelled as zero-sum games and as games with complete information
The Rationale behind the Concept of Goal
Full text linkThe paper proposes a fresh look at the concept of goal and advances that
motivational attitudes like desire, goal and intention are just facets of the
broader notion of (acceptable) outcome. We propose to encode the preferences of
an agent as sequences of "alternative acceptable outcomes". We then study how
the agent's beliefs and norms can be used to filter the mental attitudes out of
the sequences of alternative acceptable outcomes. Finally, we formalise such
intuitions in a novel Modal Defeasible Logic and we prove that the resulting
formalisation is computationally feasible
Two Faces of Strategic Argumentation in the Law
No full textIn strategic argumentation players exchange arguments to prove or reject a claim. This paper discusses and reports on research about two basic issues regarding the game-theoretic understanding of strategic argumentation games in the law: whether such games can be reasonably modelled as zero-sum games and as games with complete information
Revision of defeasible preferences
No full textThere are several contexts of non-monotonic reasoning where a priority between rules is established with the purpose of solving conflicts. We investigate how to modify such a priority (preference) relation in a non-monotonic logic in order to change the conclusions of the theory itself. We shall argue that the approach we adopt has a natural counterpart in legal reasoning and argumentation, where users cannot typically change the facts or the rules, but can propose their preferences about the relative strength of the rules.The main result of the present work is the proof that the problem of revising a non monotonic theory by changing only the superiority order between conflicting rules is, in general, computationally hard.After such an analysis, we identify three contraction/revision/update operations and study them against the AGM postulates for belief revision, to discover that only a (small) part of these postulates are satisfied in the specific non-monotonic setting. (C) 2018 Elsevier Inc. All rights reserved
Unified Semantic Space for a Novel Multimodal Approach to Document Similarity
No full textThe paper explores a new method to represent digital documents - containing several sources of information (text, images, videos, multimedia galleries) - in a semantic space able to elevate the importance of each informative channel in giving a deeper meaning to the document. The proposed approach finds several applications such as Web Content Mining, semantic classification and document topic extraction
- …
