Enhancements of linked data expressiveness for ontologies

The semantic web has received many contributions of researchers as ontologies which, in this context, i.e. within RDF linked data, are formalized conceptualizations that might use different protocols, such as RDFS, OWL DL and OWL FULL. In this article, we describe new expressive techniques which were found necessary after elaborating dozens of OWL ontologies for the scientific academy, the State and the civil society. They consist in: 1) stating possible uses a property might have without incurring into axioms or restrictions; 2) assigning a level of priority for an element (class, property, triple); 3) correct depiction in diagrams of relations between classes, between individuals which are imperative, and between individuals which are optional; 4) a convenient association between OWL classes and SKOS concepts. We propose specific rules to accomplish these enhancements and exemplify both its use and the difficulties that arise because these techniques are currently not established as standards to the ontology designer

The Algorithmic-Autoregulation (AA) Methodology and Software: a collective focus on self-transparency

There are numerous efforts to achieve a lightweight and systematic account of what is done by a group and its individuals. The Algorithmic-Autoregulation (AA) is a special case, in which a technical community embraced the challenge of registering their own dedication for sharing processes, self-transparency, and documenting the efforts. AA is used since June/2011 by dozens of researchers and software developers, with the support of different software gadgets and for distinct tasks. This article describes these implementations and statistics of their usage including expected natural properties and ontological formalisms which eases comparative analysis and furthers integration.Comment: Scripts and data in https://github.com/ttm/ensaai

Versinus: a visualization method for graphs in evolution

This article presents a novel visualization approach for dynamic graphs, the versinus method, specially useful for real world networks exhibiting free-scale properties. With a simple and fixed layout, and a small set of visual markups, the method has been useful for understanding network dynamics. Local community often suggests that it be reported, which motivated this article. Online resources deliver videos and computer scripts for rendering new animations. This article has a concise description of the method.Comment: article written by request of research colleagues that appreciated these visualizations. arXiv admin note: text overlap with arXiv:1310.776

Basic concepts and tools for the Toki Pona minimal and constructed language: description of the language and main issues; analysis of the vocabulary; text synthesis and syntax highlighting; Wordnet synsets

A minimal constructed language (conlang) is useful for experiments and comfortable for making tools. The Toki Pona (TP) conlang is minimal both in the vocabulary (with only 14 letters and 124 lemmas) and in the (about) 10 syntax rules. The language is useful for being a used and somewhat established minimal conlang with at least hundreds of fluent speakers. This article exposes current concepts and resources for TP, and makes available Python (and Vim) scripted routines for the analysis of the language, synthesis of texts, syntax highlighting schemes, and the achievement of a preliminary TP Wordnet. Focus is on the analysis of the basic vocabulary, as corpus analyses were found. The synthesis is based on sentence templates, relates to context by keeping track of used words, and renders larger texts by using a fixed number of phonemes (e.g. for poems) and number of sentences, words and letters (e.g. for paragraphs). Syntax highlighting reflects morphosyntactic classes given in the official dictionary and different solutions are described and implemented in the well-established Vim text editor. The tentative TP Wordnet is made available in three patterns of relations between synsets and word lemmas. In summary, this text holds potentially novel conceptualizations about, and tools and results in analyzing, synthesizing and syntax highlighting the TP language.Comment: Python and Vim scripts in this repository: https://github.com/ttm/prv

Continuous voting by approval and participation

In finding the adequate way to prioritize proposals, the Brazilian participation community agreed about the measurement of two indexes, one of approval and one of participation. Both practice and literature is constantly handled by the experts involved, and the formalization of such model and metrics seems novel. Also, the relevance of this report is strengthened by the nearby use of these indexes by the Brazilian General Secretariat of the Republic to raise and prioritize proposals about public health care in open processes

Text Mining Descriptions Of Dreams: aesthetic and clinical efforts

Dreams are highly valued in both Freudian psychoanalysis and less conservative clinical traditions. Text mining enables the extraction of meaning from writings in powerful and unexpected ways. In this work, we report methods, uses and results obtained by mining descriptions of dreams. The texts were collected as part of a course in Schizoanalysis (Clinical Psychology) from dozens of participants. They were subsequently mined using various techniques for the achievement of poems and summaries, which were then used in clinical sessions by means of music and declamation. The results were found aesthetically appealing and effective to engage the audience. The expansion of the corpus, mining methods and strategies for using the derivatives for art and therapy are considered for future work.Comment: Scripts and corpus in https://github.com/ttm/sonhos, Anais do XX ENMC - Encontro Nacional de Modelagem Computacional e VIII ECTM - Encontro de Ci\^encias e Tecnologia de Materiais, Nova Friburgo, RJ - 16 a 19 Outubro 201

A Simple Text Analytics Model To Assist Literary Criticism: comparative approach and example on James Joyce against Shakespeare and the Bible

Literary analysis, criticism or studies is a largely valued field with dedicated journals and researchers which remains mostly within the humanities scope. Text analytics is the computer-aided process of deriving information from texts. In this article we describe a simple and generic model for performing literary analysis using text analytics. The method relies on statistical measures of: 1) token and sentence sizes and 2) Wordnet synset features. These measures are then used in Principal Component Analysis where the texts to be analyzed are observed against Shakespeare and the Bible, regarded as reference literature. The model is validated by analyzing selected works from James Joyce (1882-1941), one of the most important writers of the 20th century. We discuss the consistency of this approach, the reasons why we did not use other techniques (e.g. part-of-speech tagging) and the ways by which the analysis model might be adapted and enhanced.Comment: Scripts and corpus in https://github.com/ttm/joyc

A connective differentiation of textual production in interaction networks

This paper explores textual production in interaction networks, with special emphasis on its relation to topological measures. Four email lists were selected, in which measures were taken from the texts participants wrote. Peripheral, intermediary and hub sectors of these networks were observed to have discrepant linguistic elaborations. For completeness of exposition, correlation of textual and topological measures were observed for the entire network and for each connective sector. The formation of principal components is used for further insights of how measures are related

Audiovisual Analytics Vocabulary and Ontology (AAVO): initial core and example expansion

Visual Analytics might be defined as data mining assisted by interactive visual interfaces. The field has been receiving prominent consideration by researchers, developers and the industry. The literature, however, is complex because it involves multiple fields of knowledge and is considerably recent. In this article we describe an initial tentative organization of the knowledge in the field as an OWL ontology and a SKOS vocabulary. This effort might be useful in many ways that include conceptual considerations and software implementations. Within the results and discussions, we expose a core and an example expansion of the conceptualization, and incorporate design issues that enhance the expressive power of the abstraction.Comment: Scripts in https://github.com/ttm/aavo

Temporal stability in human interaction networks

This paper reports on stable (or invariant) properties of human interaction networks, with benchmarks derived from public email lists. Activity, recognized through messages sent, along time and topology were observed in snapshots in a timeline, and at different scales. Our analysis shows that activity is practically the same for all networks across timescales ranging from seconds to months. The principal components of the participants in the topological metrics space remain practically unchanged as different sets of messages are considered. The activity of participants follows the expected scale-free trace, thus yielding the hub, intermediary and peripheral classes of vertices by comparison against the Erd\"os-R\'enyi model. The relative sizes of these three sectors are essentially the same for all email lists and the same along time. Typically, $<15\%$ of the vertices are hubs, 15-45\% are intermediary and $>45\%$ are peripheral vertices. Similar results for the distribution of participants in the three sectors and for the relative importance of the topological metrics were obtained for 12 additional networks from Facebook, Twitter and ParticipaBR. These properties are consistent with the literature and may be general for human interaction networks, which has important implications for establishing a typology of participants based on quantitative criteria.Comment: See ancillary Supporting Information PDF file for further tables and figures. More information on code and further files can be found at https://github.com/ttm/articleStabilityInteractionNetwork