Many security protocols still rely on manual fingerprint comparisons for authentication. The most well-known and widely used key-fingerprint representation are hexadecimal strings as used in various security tools. With the introduction of end-to-end security in WhatsApp and other messengers, the discussion on how to best represent key-fingerprints for users is receiving a lot of interest. We c...

The transfer of data structures between programs is often carried out using binary or ad-hoc textual formats. However, this can result in ambiguous and non-portable file formats. The program ‘Tm’ (for ‘template manager’) prevents these problems by using a textual representation of the data structures and generating the code to read and write this representation from an abstract definition of th...

The purpose of this study was (a) to assess the effects of learner-generated domain representations on understanding combinatorics and probability theory and (b) to investigate the effects of the format (graphical, arithmetical, or textual) in which learners create their domain representation. A pretest-posttest design was applied in which four conditions were compared: three experimental condi...

This paper shows that the problem of web services representation is crucial and analyzes the various factors that influence on it. It presents the traditional representation of web services considering traditional textual descriptions based on the information contained in WSDL files. Unfortunately, textual web services descriptions are dirty and need significant cleaning to keep only useful inf...

Digitized books and manuscripts in digital libraries are often stored as images or graphics. They are not searchable at the content level due to the lack of OCRs or poor quality of the scanned images. Portable Document Format (PDF) has emerged as the most popular document representation schema for wider access across platforms. When there is no textual (UNICODE, ASCII) representation available,...

A novel approach to supervised learning, called Lattice Machine , was proposed in 5]. In the Lattice Machine, it was assumed that data are structured as relations. In this paper we investigate the application of the Lattice Machine in the area of text classiication, where textual data are unstructured. We represent a set of textual documents as a collection of Boolean feature vectors, where eac...

Despite growing needs of the legal artificial intelligence (AI), its development is slower than other AI domains because legal expertise is essentially required to develop legal AI systems. Legal knowledge representation on legal expertise needs to be considered to implement legal reasoning AI systems. In this paper, we present a legal reasoning methodology, which utilizes multiple expert knowl...

We describe here a method for discovering imitative textual allusions in a large collection of Classical Latin poetry. In translating the logic of literary allusion into computational terms, we include not only traditional IR variables such as token similarity and ngrams, but also incorporate a comparison of syntactic structure as well. This provides a more robust search method for Classical la...