Social Analytics in an Enterprise Context: From Manufacturing to Software Development

Although customers become more and more vocal in expressing their experiences, demands and needs in various social networks, companies of any size typically fail to effectively gain insights from such social data and to eventually catch the market realm. This paper introduces the Anlzer analytics engine that aims at leveraging the "social" data deluge to help companies in their quest for deeper understanding of their products' perceptions as well as of the emerging trends in order to early embed them into their product design phase. The proposed approach brings together polarity detection and trend analysis techniques as presented in the architecture and demonstrated through a simple walkthrough in the Anlzer solution. The Anlzer implementation is by design domain-independent and is being tested in the furniture domain at the moment, yet it brings significant added value to software design and development, as well, through its experimentation playground that may provide indirect feedback on future software features while monitoring the reactions to existing releases

Adapting and evaluating personalization techniques for keyword search on RDF data

107 σ.Η σταδιακή μετεξέλιξη του Παγκόσμιου Ιστού, ενός ιστού εγγράφων, στο Σημασιολογικό Ιστό, έναν ιστό δεδομένων, δημιουργεί την ανάγκη ανάπτυξης μηχανών αναζήτησης σε σημασιολογικά, δομημένα δηλαδή, δεδομένα. Παράλληλα, καθώς ο όγκος της πληροφορίας που προστίθεται καθημερινά στον ιστό αυξάνεται με αλματώδεις ρυθμούς, γίνεται επιτακτική η ανάγκη εφαρμογής μεθόδων εξατομίκευσης από τις νέες αυτές μηχανές αναζήτησης ώστε να προσαρμόζονται στα ενδιαφέροντα κάθε χρήστη. Στα πλαίσια της παρούσας διπλωματικής εργασίας α)Μελετήθηκαν οι απαιτήσεις και οι περιορισμοί που επιβάλλει το RDF μοντέλο στην αναζήτηση με λέξεις κλειδιά και επεκτάθηκε η λειτουργία στοιχειώδους μηχανής αναζήτησης σε σημασιολογικά δεδομένα β)Εμπλουτίστηκε ένα αρχικό σύνολο ταινιών με σημασιολογικές πληροφορίες οι οποίες χρησιμοποιήθηκαν για τη δημιουργία προφίλ χρηστών γ) Δημιουργήθηκαν κατάλληλα χαρακτηριστικά εκπαίδευσης του Ranking SVM έτσι ώστε να μάθει να ταξινομεί τα αποτελέσματα της αναζήτησης κάποιου χρήστη σύμφωνα με τις προτιμήσεις του δ) Πραγματοποιήθηκε πειραματική αξιολόγηση της μεθόδου.With the rise of the Semantic Web, the World Wide Web as we know it, a web of links between texts, is gradually becoming a web of data and meaning. This change has led to the development of search engines that extract information in rdf format. The growth of data available in the web, the different types of users and their needs as well as the ambiguities of the keyword search have created the need for personalized search. In this thesis, we a) study the demands and restrictions in keyword search brought by the rdf model and extend the function of a simple semantic search engine b) infer user information through an initial set of film ratings, c) create new features for the Ranking SVM in order to train the system to rerank search results based on user interests d) perform experimental evaluation of our method.Ευμορφία Κ. Μπιλίρ

Social Agents to Enable Pervasive Social Networking Services

Over the past decade, the way people communicate, share content and eventually conduct business has been disrupted by social networking platforms. By bringing together pervasive social computing with social networking under a common modelling methodology and common social rules based on human activities in accordance with the Activity Theory, our work aims at contributing to the standardisation of the Social Web in a way that is independent from proprietary solutions, interoperable and semantically rich for applications beyond social networking. The concept of a Social Agent is introduced as a set of micro-services to handle digital traces of human activities for further analysis, respecting both users’ privacy and the business models of companies that build personalised services or applications in the web. In this paper, the landscape of social networking, social pervasive computing and social agency is presented in detail, the research questions driving our work are explained and the fundamentals of a Social Agent along with the pervasive social network it may build are set. A quantitative evaluation based on the Technology Acceptance Model methodology is implemented on a sample of 200 interviewees, evaluating the concepts of the Social Agent, while its technical feasibility is proven and presented through a prototype

Enterprise Collaboration Framework for Managing, Advancing and Unifying the Functionality of Multiple Cloud-Based Services with the Help of a Graph API

Part 5: Service Orientation in Collaborative NetworksInternational audienceNowadays, the proliferation of cloud-based services (CBS) has revolutionized the way people communicate, connect, share and eventually conduct business. Large and small and medium enterprises often adapt to this era by providing their core competence through an API. The present paper aims at describing a solution that manages, advances and unifies the functionality of the various CBS under a common framework that is being developed as a coherent graph API. Since the task of handling the evolution and complexity of the CBS API lifecycle is high, the framework is accompanied by a tool that creates a community of enterprises and developers actively engaged both in the usage of the Generic Graph APIs, but also in the update and improvement of these initial APIs