Keynotes -- Mega-modeling for Big Data Analytics -- Roberto Trasarti -- Spatial Keyword Querying -- Of Cubes, DAGs and Hierarchical Correlations:A Novel Conceptual Model for Analyzing Social Media Data -- Understandability and Cognitive Approaches -- Understanding Constraint Expressions in Large Conceptual Schemas by Automatic Filtering -- Understanding Understandability of Conceptual Models-What Are We Actually Talking about? -- Rules from Cognition for Conceptual Modelling -- Conceptual Modeling for Datawarehousing and Business Intelligence -- Using Domain Ontologies as Semantic Dimensions in Data Warehouses -- Sliced Column-Store(SCS):Ontological Foundations and Practical Implications -- Schema Decryption for Large Extract-Transform-Load Systems -- Extraction, Discovery and Clustering -- Fast Group Recommendations by Applying User Clustering -- Understanding Tables on the Web -- Bridging the Gaps towards Advanced Data Discovery over Semi-structured Data -- Towards Discovering Conceptual Models behind Web Sites -- Search and Documents -- A Distance-Based Spelling Suggestion Method for XML Keyword Search -- Cross-Language Hybrid Keyword and Semantic Search -- Mapping Semantic Widgets to Web-Based, Domain-Specific Collections -- Process Modeling I.-Evaluation Measures for Similarity Search Results in Process Model Repositories -- The MOSKitt4ME Approach:Providing Process Support in a Method Engineering Context -- Extending Conceptual Data Model for Dynamic Environment -- Process Modeling II.-Contracts+Goals=Roles? -- Specialization in i*Strategic Rationale Diagrams -- Conceptualizing and Specifying Key Performance Indicators in BusinessStrategy Models -- Data and Process Modeling Data Support in Process Model Abstraction -- Synthesizing Object Life Cycles from Business Process Models -- Conceptual Modeling for Systems Integration -- Ontology Based Approaches Ontology Evolution:Assisting Query Migration -- Ontology of Dynamic Entities -- A Supervised Method for Lexical Annotation ofSchema Labels Based on Wikipedia -- Variability and Evolution Optimising Schema Evolution Operation Sequences in Object Databases for Data Evolution -- Capturing Variability of Law with N`omos 2 -- Deriving Variability Patterns in Software Product Lines by Ontological Considerations -- Adaptation, Preferences and Query Refinment A Preference-Aware Query Model for Data Web Services -- User Feedback Based Query Refinement by Exploiting Skyline Operator -- A NFR-Based Framework for User-Centered Adaptation -- Queries, Matching and Topic Search Concept-Based Web Search -- A Linear Algebra Technique for (de)Centralized Processing of SPARQL Queries -- Non-binary Evaluation for Schema Matching -- Conceptual Modeling in Action -- An Integrated Conceptual Model to Incorporate Information Tasks in Workflow Models -- A Method for the Definition and Treatment of Conceptual Schema Quality Issues -- EERMM:A Metamodel for the Enhanced Entity-Relationship Model -- Posters -- Introducing Usability in a Conceptual Modeling-Based Software Development Process -- Conceptualizing Data in Multinational Enterprises: Model Design and Application -- A Metadata-based Approach to Leveraging the Information Supply of Business Intelligence Systems -- PhD Symposium Full Papers -- SPIDER-Graph:A Model for Heterogeneous Graphs Extracted from a Relational Database -- Exploiting Data Dependencies with Null Values for Ontology Extraction -- Partial Multi-dimensional Schema Merging in Heterogeneous Data Warehouses -- PhD Symposium Poster Papers -- Knowlog: A Declarative Language for Reasoning about Knowledge in Distributed Systems -- A Framework for Populating Ontological Models from Semi-structured Web Documents -- Data Management in a Modern ITS:Problems and Solutions.

This book constitutes the refereed proceedings of the 31st International Conference on Conceptual Modeling, ER 2012, held in Florence, Italy, in October 2012. The 24 regular papers presented together with 13 short papers, 6 poster papers and 3 keynotes were carefully reviewed and selected from 141 submissions. The papers are organized in topical sections on understandability and cognitive approaches; conceptual modeling for datawarehousing and business intelligence; extraction, discovery and clustering; search and documents; data and process modeling; ontology based approaches; variability and evolution; adaptation, preferences and query refinement; queries, matching and topic search; and conceptual modeling in action.