Emerging Ideas on Information Filtering and Retrieval : DART 2013: Revised and Invited Papers / / edited by Cristian Lai, Alessandro Giuliani, Giovanni Semeraro

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XI, 104 p. 35 illus., 23 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Computational Intelligence; Artificial Intelligence
• Persona (resp. second.): LaiCristian; GiulianiAlessandro; SemeraroGiovanni
• Nota di contenuto: Intro -- Foreword -- Preface -- Contents -- On the Use of Matrix Bloom Filters in Data Leak Protection -- 1 Introduction -- 1.1 Motivating Applications -- 1.2 Contribution -- 2 Previous Works -- 2.1 Bloom Filters with Variations -- 2.2 Related Problems -- 3 Pseudo-Matrix Bloom Filter -- 4 Experiment -- 4.1 Evaluation of Memory Consumption by PMBF -- 4.2 Applicability of PMBF for DLP Tasks -- 5 Conclusion -- References -- A Hybrid Approach for the Automatic Extraction of Causal Relations from Text -- 1 Introduction -- 2 Related Works -- 3 Some Aspects of Dependency Grammars -- 4 Extraction Method -- 4.1 Assumptions -- 4.2 Lexico-Syntactic Patterns -- 4.3 Rules -- 4.4 Pairs Filtering -- 5 Evaluation -- 6 Conclusion and Future Work -- References -- Ambient Intelligence by ATML Rules in BackHome -- 1 Introduction -- 2 Ambient Intelligence -- 2.1 Application to Assistive Technology and Telemonitoring -- 2.2 Rule-Based Solutions in Ambient Intelligence -- 3 The BackHome Project in a Nutshell -- 4 Ambient Intelligence in BackHome -- 4.1 The Sensor-Based System -- 4.2 Rule Definition and Triggering -- 5 The Current Prototype -- 5.1 The Current Sensor-Based System -- 5.2 Rule Definition -- 6 A Real Scenario -- 6.1 User Interface Adaptation -- 6.2 Sending Alerts to Therapist -- 7 Conclusions -- References -- Dense Semantic Graph and Its Application in Single Document Summarisation -- 1 Introduction -- 2 Previous Work on Graph Based Text Summarisation -- 3 Semantic Graphs -- 3.1 Semantic Graph Derived from a Triplet (Subject-Object-Verb) -- 3.2 Dense Semantic Graphs Generated from Shortest Dependency Paths Between Nouns/Adjectives -- 4 Extraction of Sentences for Summary Generation -- 5 Experiments -- 6 Results and Analysis -- 7 Conclusion -- References -- Web Architecture of a Web Portal for Reliability Diagnosis of Bus Regularity -- 1 Introduction. ; 2 State of the Art -- 2.1 Measure of Regularity -- 2.2 AVL Technology and Regularity -- 2.3 Regularity Web Tools -- 3 Methodology -- 3.1 The Validation of AVL Raw Data -- 3.2 The Handling of Criticalities -- 3.3 The Calculation of Regularity LoS -- 4 Web Architecture -- 4.1 Architecture of the System -- 4.2 Gis Data -- 4.3 AVL Data -- 4.4 Other Relevant Data -- 4.5 Implementation of the Method -- 4.6 Data Processing -- 4.7 Data Pre-aggregation -- 4.8 Data Management -- 4.9 Reliability Diagnostic Tools -- 5 Conclusion -- References -- An Approach to Knowledge Formalization -- 1 Introduction -- 2 State of the Art -- 3 Proposed Approach -- 3.1 Top-Down Phase: Description -- 3.2 Bottom-Up Phase: Description -- 3.3 Iterations of Phases: Description -- 4 Case Study -- 4.1 Related Concepts and Knowledge Base of Interest -- 4.2 Top-Down Phase: Implementation -- 4.3 Bottom-Up Phase: Implementation -- 4.4 Iteration of Phases: Implementation -- 4.5 Analysis of Results and Verification -- 5 Conclusion -- References.
• Sommario/riassunto: This book addresses new challenges and emerging ideas in Distributed Information Filtering and Retrieval. It gathers extended papers presented at DART 2013 (the 7th International Workshop on Information Filtering and Retrieval), held on December 6, 2013 in Turin, Italy, and co-hosted with the XIII International Conference of the Italian Association for Artificial Intelligence. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world contexts. The papers presented here offer a comprehensive review of related work and state-of-the-art techniques. The authors – a mix of respected practitioners and researchers – share their findings on a range of topics, including data leak protection on text comparison, natural language processing, ambient intelligence, information retrieval and web portals, and knowledge management. All contributions were carefully reviewed by experts in the respective area, who also provided useful suggestions to improve the book’s overall quality.
• Titolo autorizzato: Emerging Ideas on Information Filtering and Retrieval
• ISBN: 3-319-68392-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910299871603321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Computational Intelligence, . 1860-949X ; ; 746