One of the standard principles of rationality guiding traditional accounts of belief change is the principle of minimal change: a reasoner’s belief corpus should be modified in a minimal fashion when assimilating new information. This rationality principle has stood belief change in good stead. However, it does not deal properly with all belief change scenarios. We introduce a novel account of ...

In this paper, we present the H-Change methodology we have specifically conceived for evolving independent ontologies in open networked systems. Furthermore, we describe the change detection techniques based on semantic matchmaking for determining the most appropriate location where to frame new incoming knowledge within an existing ontology. Change assimilation techniques for evolving ontology...

In Construction Morphology (CM), a compound is treated as a construction at the word level with a systematic correlation between its form and meaning, in the sense that any change in the form is accompanied by a change in the meaning. Compound words are coined by compounding templates which are called abstract schemas in CM. These abstract constructional schemas generalize over sets of existing...

In general, time has two kinds of semantic, i.e., time-scale semantic and event-sequence semantic (Shu Hong, 1998). In spatio-temporal databases (STDB), time-scale semantic refers to the time positioning of geographical objects, and event-sequence semantic to spatial and thematic change description. Here event and change are alternatively termed without further meaning distinction. Almost a dec...

Semantic change has mostly been studied by historical linguists and typically at the scale of centuries. Here we study semantic change at a finer-grained level, the decade, making use of recent newspaper corpora. We detect semantic change candidates by observing context shifts which can be triggered by topic salience or may be independent from it. To discriminate these phenomena with accuracy, ...

Understanding how words change their meanings over time is key to models of language and cultural evolution, but historical data on meaning is scarce, making theories hard to develop and test. Word embeddings show promise as a diachronic tool, but have not been carefully evaluated. We develop a robust methodology for quantifying semantic change by evaluating word embeddings (PPMI, SVD, word2vec...

Evolving Earth observation and change detection techniques enable the automatic identification of Land Use and Land Cover Change (LULCC) over a large extent from massive amounts of remote sensing data. It at the same time poses a major challenge in effective organization, representation and modeling of such information. This study proposes and implements an integrated computational framework to...