This article provides the basis of a formal axiomatic system for a mereology of informational entities based on the idea of information fillers that can occupy information slots, such as the same word that can be used in different sentences. It is inspired by Karen Bennett’s mereological system that enables a whole to have a part “twice over”, but differs from it in several key points, such as the acceptance of empty slots, and the possibility for slots to have slots. Information slots are analyzed as informational entities that can carry aboutness.

Forests, cars and orchestras are very different ontological entities, and yet very similar in some aspects. The relationships they have with the elements they are composed of is often assumed to be reducible to standard ontological relations, like parthood and constitution, but how this could be done is still debated. This paper sheds light on the issue starting from a linguistic and philosophical analysis aimed at understanding notions like plurality, collective and composite, and proposing a formal approach to characterise them. We conclude the presentation with a discussion and analysis of social groups within this framework.

Structural universals have been introduced in the philosophical literature on examples such as chemical molecules composed of bonded atoms of different kinds. They are useful to handle complex abstract entities such as designs of artefacts, shapes, strings, words and texts, relevant in many areas of applied ontology. We use graph-theory as a unifying framework to review and compare the formal accounts proposed by Armstrong, Bennett and Mormann. We then propose a more expressive account, combining features of Bennett's and Mormann's proposals, able to model both the mereology of complex states of affairs and the structure of the particulars involved in them. Structural universals are explicitly represented; their structure, where a same universal can be part of a structural universal several times over, can be read off the graphs representing complex states of affairs.

This work describes the evaluations of two approaches, Lexical Matching and Sense Similarity, for word sense alignment between MultiWordNet and a lexicographic dictionary, Senso Comune De Mauro, when having few sense descriptions (MultiWordNet) and no structure over senses (Senso Comune De Mauro).The results obtained from the merging of the two approaches are satisfying, with F1 values of 0.47 for verbs and 0.64 for nouns.

The purpose of this paper is to examine different modelling strategies available in a multiplicative formal ontology, and the principles that drive their choice. This study is based on the results of recent work aiming at extending the foundational ontology DOLCE to grasp two quite different notions, that of artefact and that of role. These results, summarized in the paper, show that two multiplicative modelling strategies, entity stacking and property reification, are essential in both cases.