{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":26,"n_cols":5,"rows_kept":26,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[18,2,18,3],[19,2,19,3],[23,2,23,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910767587603321"]
[null,null,"Titolo",null,"Managing Knowledge in a World of Networks : 15th International Conference, EKAW 2006, Podebrady, Czech Republic, October 6-10, 2006, Proceedings / / edited by Steffen Staab, Vojtech Svatek"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006"]
[null,null,"ISBN",null,"3-540-46365-8"]
[null,null,"Edizione",null,"[1st ed. 2006.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIV, 402 p.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 4248"]
[null,null,"Disciplina",null,"025.04"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Information technology - Management"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Computer Application in Administrative Data Processing"]
[{"$nulls":4},"Computer Communication Networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Invited Talks -- Information and Influence in Social Networks -- Learning, Logic, and Probability: A Unified View -- Knowledge Acquisition -- KARaCAs: Knowledge Acquisition with Repertory Grids and Formal Concept Analysis for Dialog System Construction -- Capturing Quantified Constraints in FOL, Through Interaction with a Relationship Graph -- Assisting Domain Experts to Formulate and Solve Constraint Satisfaction Problems -- Knowledge Acquisition Evaluation Using Simulated Experts -- Stochastic Foundations for the Case-Driven Acquisition of Classification Rules -- From Natural Language to Formal Proof Goal -- Reuse: Revisiting Sisyphus-VT -- Ontology Engineering -- Role Organization Model in Hozo -- Verification and Refactoring of Ontologies with Rules -- Ontology Selection for the Real Semantic Web: How to Cover the Queen’s Birthday Dinner? -- Ontology Engineering, Scientific Method and the Research Agenda -- Ontology Learning -- Ontology Enrichment Through Automatic Semantic Annotation of On-"]
[{"$nulls":4},"Line Glossaries -- Discovering Semantic Sibling Groups from Web Documents with XTREEM-SG -- Designing and Evaluating Patterns for Ontology Enrichment from Texts -- Ontology Mapping and Evolution -- Semantic Metrics -- Matching Unstructured Vocabularies Using a Background Ontology -- Distributed Multi-contextual Ontology Evolution – A Step Towards Semantic Autonomy -- An Evaluation Method for Ontology Complexity Analysis in Ontology Evolution -- Semantic Search -- Semantic Search Components: A Blueprint for Effective Query Language Interfaces -- SemSearch: A Search Engine for the Semantic Web -- Rich Personal Semantic Web Clients: Scenario and a Prototype -- User Interfaces -- i dee: An Integrated and Interactive Data Exploration Environment Used for Ontology Design -- Evaluating a Thesaurus Browserfor an Audio-visual Archive -- Knowledge Discovery -- Frequent Pattern Discovery from OWL DLP Knowledge Bases -- Engineering and Learning of Adaptation Knowledge in Case-Based Reasoning -- A Methodological View on Knowledge-Intensive Subgroup Discovery -- Iterative Bayesian Network Implementation by Using Annotated Association Rules -- Semantics from Networks and Crowds -- Multilayered Semantic Social Network Modeling by Ontology-Based User Profiles Clustering: Application to Collaborative Filtering -- Towards Knowledge Management Based on Harnessing Collective Intelligence on the Web -- A Formal Approach to Qualitative Reasoning on Topological Properties of Networks -- Applications -- Towards a Knowledge Ecosystem -- A Tool for Management and Reuse of Software Design Knowledge -- The ODESeW Platform as a Tool for Managing EU Projects: The Knowledge Web Case Study."]
[null,null,null,"Sommario/riassunto","th The 15 International Conference on Knowledge Engineering and Knowledge Management (2006), held on October 6-10, 2006 in Pod? ebrady,Czech Republic, followed a long tradition of European Knowledge Acquisition Workshops (from 1987),whicheventuallyacquiredtheformatofconference(in2000)whilekeeping their open-minded and interactive spirit. During the nearly 20 year lifespan of the series, the discipline of knowledge engineering (KE) evolved greatly. While knowledge acquisition (KA) techniques dominated in the very ?rst years, formal approaches to knowledge-based inf- ence and variousnew streamssuch as knowledgediscoveryfrom data/textslater cameinto play. During thelate1990sandafterwards,EKAWbecamea founding community for ontology and Semantic Web Research, which was also re?ected in the sub-titles of the 2002 and 2004 editions: “Ontologies and the Semantic Web” and “Engineering Knowledge in the Age of the Semantic Web,” resp- tively. The 2006 edition, in turn, only slightly refocussed this trend. Its sub-title is “Managing Knowledge in a World of Networks,” which re?ects the fact that semantics typically arises not only as a result of explicit engineering activities (as in Semantic Web) but also emerges from interaction of a high number of interconnected documents, ontological concepts, software applications and — especially — human users. The importance given to the interconnection of - man users in a sense loops back to the knowledge acquisition roots of EKAW and its ‘holistic’ view of knowledge engineering."]