LEADER 06176nam 22005895 450 001 9910299871603321 005 20200702000946.0 010 $a3-319-68392-6 024 7 $a10.1007/978-3-319-68392-8 035 $a(CKB)4100000000881546 035 $a(DE-He213)978-3-319-68392-8 035 $a(MiAaPQ)EBC6295006 035 $a(MiAaPQ)EBC5591052 035 $a(Au-PeEL)EBL5591052 035 $a(OCoLC)1066193266 035 $a(PPN)220125058 035 $a(EXLCZ)994100000000881546 100 $a20171030d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEmerging Ideas on Information Filtering and Retrieval $eDART 2013: Revised and Invited Papers /$fedited by Cristian Lai, Alessandro Giuliani, Giovanni Semeraro 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XI, 104 p. 35 illus., 23 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v746 311 $a3-319-68390-X 327 $aIntro -- 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. 327 $a2 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. 330 $aThis book addresses new challenges and emerging ideas in Distributed Information Filtering and Retrieval. It gathers extended papers presented at DART 2013 (the 7th International Workshop on Information Filtering and Retrieval), held on December 6, 2013 in Turin, Italy, and co-hosted with the XIII International Conference of the Italian Association for Artificial Intelligence. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world contexts. The papers presented here offer a comprehensive review of related work and state-of-the-art techniques. The authors ? a mix of respected practitioners and researchers ? share their findings on a range of topics, including data leak protection on text comparison, natural language processing, ambient intelligence, information retrieval and web portals, and knowledge management. All contributions were carefully reviewed by experts in the respective area, who also provided useful suggestions to improve the book?s overall quality. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v746 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aLai$b Cristian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGiuliani$b Alessandro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSemeraro$b Giovanni$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299871603321 996 $aEmerging Ideas on Information Filtering and Retrieval$92512082 997 $aUNINA