1,720,962 research outputs found
The Greek Interoperability Center
Get PDFIn this paper we present the Greek Interoperability Center (GIC), which constitutes a common and uniform framework for web services hosting and use. Those web services are either implemented by Ministry of Finance or other Ministries (web service clients). The aim of GIC is to act as a hub for the exchange of business/operational data between Public Sector Agencies but also to establish a uniform way to implement web services (and clients) in terms of security and web service implementation techniques. This was accomplished by implementing an Enterprise Service Bus as well as a number of "horizontal" functionalities named Common Implementation Framework
Training Civil Servants to ERMIS IT System for the Purposes of Directive 2006/123/EC
No full textAbstractIn this paper we present the task of training civil servants on the back end of the ERMIS IT system, in order to enrich it with information regarding service activity provision in Greece for services related to Directive 2006/123/EC. The evaluation of the process which involved 65 persons from 11 ministries led to the conclusion that, civil servants less than 40 years old holding an academic degree are more capable of dealing with the task
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Applying Linked Data Technologies to Greek Open Government Data: A Case Study
No full textAbstractOpen government data is a valuable resource of information addressed to a significant number of recipients. However, this information is usually published in raw format, i.e. without following specific guidelines and remains unexploited. Linked data technologies, on the other hand, aim at transforming data published in web sites into a machine readable format (usually RDF using URIs) in order for them to be linked to other external datasets. Regarding Greek Governmental sites, little work has been done towards this direction. An interesting case is the information provided in the ERMIS Greek portal for Public Administration which involves service provision according to the Directive 123/2006/EC. In this paper, we present a case study on the application of linked data technologies on Greek open government data located in the ERMIS Greek Government portal for Public Administration (www.ermis.gov.gr). In particular, we focus on examining how this information can be transformed into linked data in order to be appropriately interconnected to equivalent information found in web sites of other European countries and we propose solutions
Text Segmentation for Language Identification in Greek Forums
No full textAbstractIn this paper, we examine the benefit of applying text segmentation methods to perform language identification in forums. The focus here is on forums containing a mixture of information written in Greek, English as well as Greeklish. Greeklish can be defined as the use of Latin alphabet for rendering Greek words with Latin characters. For the evaluation, a corpus was manually created, by collecting web pages from Greek university forums and most specifically, pages containing information that combines Greek with English technical terminology and Greeklish. The evaluation using two well known text segmentation algorithms leads to the conclusion that, despite the difficulty of the problem examined, text segmentation seems to be a promising solution
Classification and segimentation of texts using methods of computational linguistics
No full textThis dissertation deals with the development of computational methods which penetrate into the content of texts and reveal their structure, as the result of finding their topics and subtopics. The benefit of such methods is the improvement in accessing in information using a language technology. The dissertation uses Wordnet’s thesaurus in order to attribute -in a more accurate way- the sense of a word taking under consideration the content in which this word appears in the text. The dissertation achieves a more effective access in information using the result of the segmentation of large texts into smaller segments each of which refers to a specific topic. Such an improved access is extremely useful while searching the Web. After an overview of the models and methods that have been proposed in the literature for the problem of finding the semantic structure of a text, we propose and implement three models. The first of those follows the Machine Learning approach and classifies texts using the appropriate sense of the words appearing in a text - taken from Wordnet’s thesaurus-, according to the content in which each word appears. This classification is compared to the one using the original words of the texts. The second model implements text segmentation using the outcome of classification. Finally, the third model suggests a method for segmenting large texts into smaller segments, each of which exhibiting strong cohesion and coherence in a topical level. The aforementioned segmentation is realized by the combination of a technique which calculates the similarity between parts of a text and a technique which automatically determines segment boundaries. The success of the aforementioned models was validated after their evaluation in an important number of datasets, the most important of which consists of greek texts. The importance of those models lies in the fact that they can play a key role in a wide area of language processing applications such as effective and accurate Web search, information retrieval, information extraction, summarization, thematic text classification etc., both to greek and english copora.Η παρούσα διδακτορική διατριβή πραγματεύεται την ανάπτυξη υπολογιστικών μεθόδων για την εμβάθυνση στο περιεχόμενο των κειμένων και την ανάδειξη του τρόπου δόμησής τους (με την εύρεση των υποθεμάτων από τα οποία αποτελούνται) άρα και κατ’ επέκταση τη βελτίωση πρόσβασης σε πληροφορία με τη βοήθεια γλωσσικής τεχνολογίας. Η εν λόγω διατριβή αφορά την χρήση του θησαυρού όρων Wordnet για την ακριβέστερη απόδοση της έννοιας των λέξεων μέσα στο περιεχόμενο στο οποίο απαντώνται, αλλά και την αποτελεσματικότερη πρόσβαση στην πληροφορία με την τμηματοποίηση μεγάλης έκτασης κειμένων σε μικρότερα τμήματα καθένα από τα οποία αναφέρεται σε ένα συγκεκριμένο θέμα. Μια τέτοιου είδους βελτιωμένη πρόσβαση είναι χρήσιμη στην ολοένα αυξανόμενη πληροφορία που απαντάται στις μέρες μας κυρίως στο Διαδίκτυο. Μετά από επισκόπηση των μοντέλων και μεθόδων για την εύρεση της εννοιολογικής δομής των κειμένων και τη βελτίωση πρόσβασης σε πληροφορία προτείνονται τρία μοντέλα. Το πρώτο από αυτά ακολουθεί την προσέγγιση της Mηχανικής Mάθησης και πραγματοποιεί κατηγοριοποίηση κειμένων με την βοήθεια της έννοιας της κάθε λέξης -όπως αυτή προσδιορίζεται από το περιεχόμενο μέσα στο οποίο αυτή απαντάται και όπως αυτή δίνεται από τον θησαυρού όρων Wordnet - και όχι των αυτούσιων λέξεων του κειμένου. Το δεύτερο μοντέλο πραγματεύεται την τμηματοποίηση κειμένων με την βοήθεια τεχνικών κατηγοριοποίησης κειμένων. Τέλος, το τελευταίο προτεινόμενο μοντέλο προτείνει και υλοποιεί ένα μοντέλο τμηματοποίησης κειμένων μεγάλης έκτασης σε μικρότερα τμήματα καθένα από τα οποία παρουσιάζει ισχυρή συνάφεια και συνοχή σε τοπικό επίπεδο. Η εν λόγω τμηματοποίηση πραγματοποιείται ως συνδυασμός τεχνικών εύρεσης της ομοιότητας μεταξύ των διαφόρων μερών του κειμένου και αυτόματου καθορισμού των ορίων μεταξύ των τμημάτων. Η επιτυχία και των τριών μοντέλων επιβεβαιώνεται από την εφαρμογή τους σε αντίστοιχα σώματα κειμένων με πιο σημαντικό το σώμα κειμένων το οποίο απαρτίζεται από ελληνικά κείμενα. Η σπουδαιότητα των εν λόγω μοντέλων έγκειται στο γεγονός ότι αποτελούν ισχυρά βοηθήματα σε ένα ευρύ πεδίο εφαρμογών όπως η ακριβέστερη ανάκτηση και εξόρυξη πληροφορίας, η εξαγωγή περιλήψεων, η θεματική κατηγοριοποίηση κειμένων κλπ, τόσο σε αγγλικά όσο και σε ελληνικά κείμενα
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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