Format:
1 Online-Ressource (708 pages)
ISBN:
9783642407697
Series Statement:
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence v.8132
Content:
Preface -- Organization -- Table of Contents -- Query-Answering Systems -- Conceptual Pathway Querying of Natural Logic Knowledge Bases from Text Bases -- 1 Introduction -- 2 Deductive Querying of Knowledge Bases -- 2.1 Deducing Relationships -- 3 The Graph Knowledge Base View -- 3.1 Deducing Pathways -- 4 Natural Logic -- 4.1 Non-monotonic Logic in Natural Logic -- 5 From Natural Language to Natural Logic -- 5.1 Example -- 6 Flattening Natural Logic into Clauses -- 7 Inference Engine for Conceptual Pathfinding -- 8 Summary and Conclusion -- References -- Query Rewriting for an Incremental Search in Heterogeneous Linked Data Sources -- 1 Introduction -- 2 Related Works -- 3 An Overview of the Query Processing Approach -- 3.1 Main Query Processing Steps -- 3.2 System Modules -- 4 Query Rewriting Algorithm -- 5 Estimation of Information Loss -- 5.1 Measuring the Loss of Information -- 5.2 Rewriting Example -- 6 Conclusions -- References -- FILT - Filtering Indexed Lucene Triples - A SPARQL Filter Query Processing Engine- -- 1 Introduction -- 2 Implementation of FILT with Apache Lucene -- 3 Previous Work -- 4 Benchmark Evaluation -- 5 Results -- 6 Discussion -- 7 Conclusions and Future Work -- References -- Improving Range Query Result Size Estimation Based on a New Optimal Histogram -- 1 Introduction -- 2 State of the Art -- 2.1 Earlier Histograms -- 2.2 Relative Recent Histograms -- 3 Compressed-V2 Histogram -- 3.1 Definitions and Problem Formulation -- 3.2 HistConst Algorithm -- 4 Running Example -- 4.1 Selectivity Estimation of Low Frequent Values with Compressed andCompressed-v2 Histograms -- 5 Experimentation Results -- 6 Conclusion and Future Work -- References -- Has FQAS Something to Say on Taking Good Care of Our Elders? -- 1 Introduction -- 2 Knowledge Representation and Information Retrieval -- 3 Domain and User Context Modelling
Content:
4 Approximate Reasoning Models -- 4.1 Activity Recognition -- 5 Human Computer Interaction -- 5.1 Social Networks -- 6 Conclusions -- References -- Question Answering System for Dialogues: A New Taxonomy of Opinion Questions -- 1 Introduction -- 2 Related Works -- 2.1 Question Type Taxonomies -- 2.2 Opinion Extraction Techniques -- 2.3 Question Classification Approaches -- 3 Proposed Taxonomy for Opinion Question Classification -- 3.1 Building the Study Corpus -- 3.2 Question Specificities of QAS for Dialogues -- 3.3 Proposed Taxonomy for Opinion Questions -- 3.4 Discussions about the Proposed Taxonomy -- 4 Proposed Approach for the Opinion Question Classification -- 4.1 Extraction of Classification Features -- 4.2 Training Corpus -- 4.3 Results and Discussions -- 5 Conclusion and Perspectives -- References -- R/quest: A Question Answering System -- 1 Introduction and Related Work -- 2 R/quest Methodology -- 2.1 Answer Retrieval Using Question Expansion -- 2.2 Candidate Answer Ranking -- 2.3 Question Refinement -- 3 Evaluation -- 4 Conclusion -- 5 Future Work -- References -- Answering Questions by Means of Causal Sentences -- 1 Introduction -- 2 Selection of the Input Information -- 3 Summarizing the Content of the Causal Graph -- 4 Conclusions and Future Works -- References -- Ontology-Based Question Analysis Method -- 1 Introduction -- 2 Related Works -- 3 Question Analysis Method -- 3.1 Proposed Method's Description -- 3.2 Lexical and Syntactic Analysis Component -- 3.3 Question Graph Construction Component -- 3.4 Query Reformulation Component -- 3.5 Search for Similar Questions -- 4 Experimental Evaluation -- 4.1 Search Results Evaluation -- 4.2 Similar Question Search Evaluation -- 5 Conclusion -- References -- Fuzzy Multidimensional Modelling for Flexible Querying of Learning Object Repositories -- 1 Introduction
Content:
2 Background and Motivation -- 2.1 LOs, LORs and LO Metadata -- 2.2 Datawarehousing, OLAP and OLTP -- 2.3 Fuzzy Sets Theory and OLAP -- 2.4 Need for DW Techniques in LORs -- 3 Learning Object Metadata Standards -- 4 A Fuzzy Multidimensional Model of Learning Object Repositories -- 4.1 The Fuzzy Dimensions -- 4.2 An Example Datacube -- 5 Conclusions and Future Work -- References -- Environmental Scanning for Strategic Early Warning -- Using Formal Concept Analysis to Detect and Monitor Organised Crime -- 1 Introduction -- 2 Formal Concept Analysis -- 2.1 Formal Contexts -- 2.2 Formal Concepts -- 2.3 Galois Connections -- 2.4 Concept Lattices -- 2.5 Representing Organised Crime with FCA -- 3 Detecting OC Activities -- 4 Finding OC Dependencies -- 5 Finding New Indicators for OC -- 6 Conclusion: Developing an OC `Threat Score Card' -- References -- Analysis of Semantic Networks Using Complex Networks Concepts -- 1 Introduction -- 2 Related Work -- 3 Finding the Most Important Terms in a Semantic Network -- 4 Experimental Results -- 5 Conclusions -- References -- Detecting Anomalous and Exceptional Behaviour on Credit Data by Means of Association Rules -- 1 Introduction -- 2 Background Concepts and Related Work -- 2.1 Association Rules -- 2.2 Related Works -- 3 Previous Approaches for Discovering Exception and Anomalous Rules -- 4 Our Proposal for Mining Exception and Anomalous Rules -- 4.1 Our Approach for Exception Rules -- 4.2 Our Approach for Anomalous Rules -- 5 Algorithm -- 6 Experimental Evaluation -- 7 Conclusions and Future Research -- References -- Issues of Security and Informational Privacy in Relation to an Environmental Scanning System for Fighting Organized Crime -- 1 Introduction -- 2 Aims of the ePOOLICE Project -- 3 Balancing Security and Privacy -- 4 Privacy Issues in ePOOLICE -- 5 Concluding Remarks -- References
Content:
Semantic Technology -- Algorithmic Semantics for Processing Pronominal Verbal Phrases -- 1 Background and Recent Developments -- 1.1 Algorithmic Intensionality in the Type Theory Lar -- 1.2 Restricted -reduction in Lar and Pronominal Underspecification -- 2 VP Ellipsis and Underspecification -- 3 Question-Answer Interaction with Underspecified Answers -- 4 Ongoing and Future Work -- 5 Conclusions -- References -- Improving the Understandability of OLAP Queries by Semantic Interpretations -- 1 Introduction -- 2 Multidimensional Model -- 2.1 Multidimensional Structure -- 2.2 Operations -- 3 Semantic Interpretation -- 3.1 Structure -- 3.2 Aggregation Functions -- 4 Semantic Interpretations for DataCubes -- 4.1 Query Process -- 4.2 Learning the fa Functions -- 5 Example -- 6 Conclusions -- References -- Semantic Interpretation of Intermediate Quantifiers and Their Syllogisms -- 1 Introduction -- 2 Basic Concepts of the Fuzzy Type Theory -- 3 Theory of Intermediate Quantifiers -- 4 Generalized Intermediate Syllogisms -- 4.1 Interpretation -- 4.2 Examples of Strongly Valid Syllogisms of Figure I -- 4.3 Examples of Strongly Valid Syllogisms of Figure II -- 4.4 Examples of Strongly Valid Syllogisms of Figure-III -- 4.5 Example of Invalid Syllogism -- 5 Conclusions -- References -- Ranking Images Using Customized Fuzzy Dominant Color Descriptors -- 1 Introduction -- 2 Fuzzy Modelling of Colors -- 2.1 Fuzzy Color -- 2.2 Fuzzy Color Space -- 3 Dominance-Based Fuzzy Color Descriptor -- 3.1 Dominant Fuzzy Colors -- 3.2 Dominance-Based Fuzzy Descriptors -- 4 Matching Operators -- 4.1 Fuzzy Inclusion Operator -- 5 Results -- 5.1 Customized Color Space: An Example -- 5.2 Query Refinement Examples -- 6 Conclusions -- References -- Generating Linguistic Descriptions of Data -- Linguistic Descriptions: Their Structure and Applications
Content:
1 Introduction - Necessity to Learn from Linguists and Logicians -- 2 Theory of Evaluative Linguistic Expressions -- 2.1 Grammatical Structure of Evaluative Expressions -- 2.2 Semantics of Simple Evaluative Expressions -- 3 Linguistic Descriptions and Their Semantics -- 3.1 The Concept of a Linguistic Description -- 3.2 Semantics of Linguistic Description -- 3.3 Learning of Linguistic Description from Data -- 3.4 Perception-Based Logical Deduction -- 4 Linguistic Descriptions in the Analysis and Forecasting of Time Series -- 5 Mining Linguistic Associations -- 5.1 The Original Method -- 6 Other Applications and Conclusion -- References -- Landscapes Description Using Linguistic Summaries and a Two-Dimensional Cellular Automaton -- 1 Introduction -- 2 Background -- 2.1 Cellular Automata -- 2.2 Linguistic Summaries of Data -- 3 Linguistic Summary of Individual Behavior -- 3.1 Inferring an Instance of a State Machine Instance -- 3.2 Obtaining a Linguistic Summary from a State Machine Instance -- 4 Global Description of the Landscape Situation -- 4.1 Landscape Division -- 4.2 Definition of the Basic Measures -- 4.3 Define the First Order Perceptions -- 4.4 Definition of the Top-Order Perceptions -- 5 Conclusions and Future Work -- References -- Comparing f-Optimal with Distance Based Merge Functions -- 1 Introduction -- 2 Preliminaries -- 2.1 Multisets -- 2.2 Merge Functions -- 3 Influencing the Content Selection -- 4 Distance Based Merge Functions -- 5 Making the Comparison -- 5.1 Properties -- 5.2 Multi-Document Summarization -- 6 Conclusion and Future Work -- References -- Flexible Querying with Linguistic F-Cube Factory -- 1 Introduction -- 2 Preliminary Research -- 2.1 Multidimensional Data Model and F-Cube Factory -- 2.2 Linguistic Comparison of Time Series Data -- 3 Linguistic F-Cube Factory -- 4 Conclusions and Future Work -- References
Content:
Mathematical Morphology Tools to Evaluate Periodic Linguistic Summaries
Additional Edition:
9783642407680
Additional Edition:
Print version Larsen, Henrik Legind Flexible Query Answering Systems : 10th International Conference, FQAS 2013, Granada, Spain, September 18-20, 2013. Proceedings Berlin/Heidelberg : Springer Berlin Heidelberg,c2013 9783642407680
Language:
English
URL:
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