Corporate Semantic Web Report VI: Validation and Evaluation

In this technical report, we present prototypical implementations of innovative tools and methods for personalized and contextualized (multimedia) search, collaborative ontology evolution, ontology evaluation and cost models, and dynamic access and trends in distributed (semantic) knowledge, developed according to the working plan outlined in Technical Report TR-B-12-04 [34]. The prototypes complete the next milestone on the path to an integral Corporate Semantic Web architecture based on the three pillars Corporate Ontology Engineering, Corporate Semantic Collaboration, and Corporate Semantic Search, as envisioned in [33].

[1]  Martin Hepp,et al.  Games with a Purpose for the Semantic Web , 2008, IEEE Intelligent Systems.

[2]  David A. Forsyth,et al.  Utility data annotation with Amazon Mechanical Turk , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[3]  Jeff Sutherland,et al.  Manifesto for Agile Software Development , 2013 .

[4]  Adrian Paschke.  ECA-LP / ECA-RuleML: A Homogeneous Event-Condition-Action Logic Programming Language , 2006, ArXiv.

[5]  Elena Paslaru Bontas Simperl,et al.  ONTOCOM Revisited: Towards Accurate Cost Predictions for Ontology Development Projects , 2009, ESWC.

[6]  Yolaine Bourda,et al.  A semantic similarity measure for recommender systems , 2011, I-Semantics '11.

[7]  Adrian Paschke,et al.  Rule Responder: Rule-Based Agents for the Semantic-Pragmatic Web , 2011, Int. J. Artif. Intell. Tools.

[8]  David Heckerman,et al.  Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.

[9]  Adrian Paschke,et al.  Fusion of background knowledge and streams of events , 2012, DEBS.

[10]  Annika Hinze,et al.  Visualisation of Semantic Enrichment , 2012, GI-Jahrestagung.

[11]  Annika Hinze,et al.  Semantic Enrichment by Non-experts: Usability of Manual Annotation Tools , 2012, International Semantic Web Conference.

[12]  Adrian Paschke,et al.  Modular Upper-Level Ontologies for Semantic Complex Event Processing , 2010, WoMO.

[13]  Adrian Paschke.  ECA-RuleML: An Approach combining ECA Rules with temporal interval-based KR Event/Action Logics and Transactional Update Logics , 2006, ArXiv.

[14]  Mark A. Musen,et al.  Semantic Wiki Search , 2009, ESWC.

[15]  York Sure-Vetter,et al.  : A Cost Estimation Model for Ontology Engineering , 2006, SEMWEB.

[16]  Eduardo Peis,et al.  Semantic Recommender Systems. Analysis of the state of the topic , 2008 .

[17]  Adrian Paschke,et al.  Rules and Logic Programming for the Web , 2011, Reasoning Web.

[18]  Barry W. Boehm,et al.  Cost models for future software life cycle processes: COCOMO 2.0 , 1995, Ann. Softw. Eng..

[19]  Ping-Ju Hsieh.  Administration Service for the Tourist Information System (TIP) , 2008 .

[20]  Gerhard Friedrich,et al.  Recommender Systems - An Introduction , 2010 .

[21]  Adrian Paschke,et al.  RuleML 1.0: The Overarching Specification of Web Rules , 2010, RuleML.

[22]  Dan Frankowski,et al.  Collaborative Filtering Recommender Systems , 2007, The Adaptive Web.

[23]  Adrian Paschke,et al.  Realizing the Corporate Semantic Web: Concept Paper , 2009 .

[24]  Adrian Paschke,et al.  Semantic Rule-Based Complex Event Processing , 2009, RuleML.

[25]  Malgorzata Mochól,et al.  Trend Ontology for Knowledge-Based Trend Mining in Textual Information , 2010, 2010 Seventh International Conference on Information Technology: New Generations.

[26]  Costin Badica,et al.  Rule-Based Distributed and Agent Systems , 2011, RuleML Europe.

[27]  Adrian Paschke,et al.  Towards semantic event processing , 2009, DEBS '09.

[28]  Adrian Paschke,et al.  Using Rule-Based Concepts as Foundation for Higher-Level Agent Architectures , 2009 .

[29]  Robin Burke,et al.  Knowledge-based recommender systems , 2000 .

[30]  Adrian Paschke,et al.  Rule Markup Languages and Semantic Web Rule Languages , 2010 .

[31]  Alfred Kobsa,et al.  The Adaptive Web, Methods and Strategies of Web Personalization , 2007, The Adaptive Web.

[32]  Adrian Paschke,et al.  Event-Driven Scientific Workflow Execution , 2012, Business Process Management Workshops.

[33]  Michael J. Pazzani,et al.  Content-Based Recommendation Systems , 2007, The Adaptive Web.

[34]  Adrian Paschke,et al.  Reaction RuleML 1.0: Standardized Semantic Reaction Rules , 2012, RuleML.

[35]  Adrian Paschke.  A Semantic Rule and Event Driven Approach for Agile Decision-Centric Business Process Management - (Invited Paper) , 2011, ServiceWave.

[36]  Barry W. Boehm,et al.  Software Engineering Economics , 1993, IEEE Transactions on Software Engineering.

[37]  Sharma Chakravarthy,et al.  Snoop: An Expressive Event Specification Language for Active Databases , 1994, Data Knowl. Eng..

[38]  A. Paschke,et al.  Corporate Semantic Web Report V Prototypical Implementations Working Packages in Project Phase II Technical Report TRB-1204 , 2012 .

[39]  Adrian Paschke,et al.  The Rule Responder Distributed Reputation Management System for the Semantic Web , 2010, RuleML Challenge.

[40]  Asunción Gómez-Pérez,et al.  Ontology Requirements Specification , 2012, Ontology Engineering in a Networked World.

[41]  Jonathan L. Herlocker,et al.  Evaluating collaborative filtering recommender systems , 2004, TOIS.

[42]  Adrian Paschke,et al.  Principles of the SymposiumPlanner Instantiations of Rule Responder , 2011, RuleML America.

[43]  Laura A. Dabbish,et al.  Designing games with a purpose , 2008, CACM.

[44]  Hans Weigand,et al.  The Pragmatic Web: Putting Rules in Context , 2012, RuleML.

[45]  ManolopoulosYannis,et al.  Collaborative recommender systems , 2008 .

[46]  Hamish Cunningham,et al.  GATE-a General Architecture for Text Engineering , 1996, COLING.

[47]  Martin Bichler,et al.  Knowledge representation concepts for automated SLA management , 2006, Decis. Support Syst..