POST-VIA: Develop Individualized Marketing Strategies for Tourists

POST-VIA is an information system whose main objective is develops tools to manage direct marketing strategies in the tourism sector. POSTVIA can be considered as software able to collect information about the travel experience for tourists and convert this information into knowledge. The system offers DMOs a management component of communication and interaction with the customer based on a highly accurate perception of it, allowing individualized marketing campaigns (Social Semantic CRM). Social Semantic CRM component incorporates several techniques to achieve this aim, among others, opinion mining, recommendation systems, and digital footprint. As a basic differential, POST-VIA platform is not limited to rely on the goodwill of tourists (often controversial and always random) to complete the valuable data of subjective perception, it offers an attractive product catalog and services compelling enough to take the time and the interest to collaborate.

[1]  Bo Pang,et al.  Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.

[2]  Barry Smyth,et al.  Trust in recommender systems , 2005, IUI.

[3]  Françoise Fessant,et al.  State-of-the-Art Recommender Systems , 2009 .

[4]  Ismael Rivera,et al.  Intelligent Decision-Support Systems for e-Tourism: Using SPETA II as a Knowledge Management Platform for DMOs and e-Tourism Service Providers , 2010, Int. J. Decis. Support Syst. Technol..

[5]  Derry O'Sullivan,et al.  Improving Case-Based Recommendation: A Collaborative Filtering Approach , 2002, ECCBR.

[6]  Yoav Shoham,et al.  Fab: content-based, collaborative recommendation , 1997, CACM.

[7]  Greg Gianforte.  The world at our fingertips — How online travel companies can turn clicks into bookings , 2004 .

[8]  Alison Huettner,et al.  Fuzzy Typing for Document Management , 2000 .

[9]  Ricardo Colomo Palacios,et al.  ODDIN: Ontology-driven differential diagnosis based on logical inference and probabilistic refinements , 2010, Expert Syst. Appl..

[10]  Francesco Ricci,et al.  E-commerce and tourism , 2004, CACM.

[11]  Jos de Bruijn,et al.  Semantic Web Services , 2009, Handbook on Ontologies.

[12]  Dimitrios Buhalis,et al.  eAirlines: strategic and tactical use of ICTs in the airline industry , 2004, Inf. Manag..

[13]  Nalin Sharda,et al.  Tourism Informatics: Visual Travel Recommender Systems, Social Communities, and User Interface Design , 2009 .

[14]  Lillian Lee,et al.  Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..

[15]  Damianos Gavalas,et al.  An innovative mobile electronic tourist guide application , 2009, Personal and Ubiquitous Computing.

[16]  Christine A. Vogt,et al.  Customer Relationship Management in Tourism: Management Needs and Research Applications , 2011 .

[17]  Jose María Álvarez Rodríguez,et al.  PsyDis: Towards a diagnosis support system for psychological disorders , 2012, Expert Syst. Appl..

[18]  Janyce Wiebe,et al.  Tracking Point of View in Narrative , 1994, Comput. Linguistics.

[19]  Barry Smyth,et al.  Advances in Case-Based Reasoning , 1996, Lecture Notes in Computer Science.

[20]  Dimitris Kanellopoulos.  An ontology-based system for intelligent matching of travellers' needs for Group Package Tours , 2008 .

[21]  Rafael Valencia-García,et al.  Towards an Ontology to Support Semantics Enabled Diagnostic Decision Support Systems , 2012 .

[22]  Marti A. Hearst.  Direction-based text interpretation as an information access refinement , 1992 .

[23]  Lluís Codina,et al.  La Web semántica , 2006 .

[24]  Claire Cardie,et al.  Recognizing and Organizing Opinions Expressed in the World Press , 2003, New Directions in Question Answering.

[25]  Ian Horrocks,et al.  OIL: An Ontology Infrastructure for the Semantic Web , 2001, IEEE Intell. Syst..

[26]  Anne-Mette Hjalager.  A review of innovation research in tourism , 2010 .

[27]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[28]  Loriene Roy,et al.  Content-based book recommending using learning for text categorization , 1999, DL '00.

[29]  Jeonghee Yi,et al.  Sentiment analysis: capturing favorability using natural language processing , 2003, K-CAP '03.

[30]  Bing Liu,et al.  Mining and summarizing customer reviews , 2004, KDD.

[31]  Susan T. Dumais,et al.  Personalized information delivery: an analysis of information filtering methods , 1992, CACM.

[32]  Nina Mistilis,et al.  Destination and enterprise management for a tourism future. , 2009 .

[33]  Claire Cardie,et al.  Combining Low-Level and Summary Representations of Opinions for Multi-Perspective Question Answering , 2003, New Directions in Question Answering.

[34]  Steffen Staab,et al.  Ontology Learning for the Semantic Web , 2002, IEEE Intell. Syst..

[35]  Dimitrios Buhalis,et al.  eTourism: Information technology for strategic tourism management , 2003 .

[36]  Barry Smyth,et al.  Using twitter to recommend real-time topical news , 2009, RecSys '09.

[37]  Jorge Cardoso,et al.  Developing Dynamic Packaging Systems using Semantic Web Technologies , 2006 .

[38]  Ismael Rivera,et al.  SPETA: Social pervasive e-Tourism advisor , 2009, Telematics Informatics.

[39]  Zongmin Ma,et al.  The Semantic Web for Knowledge and Data Management - Technologies and Practices , 2009, The Semantic Web for Knowledge and Data Management.

[40]  Hong Yu,et al.  Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences , 2003, EMNLP.

[41]  Vidyasagar Potdar,et al.  A state of the art opinion mining and its application domains , 2009, 2009 IEEE International Conference on Industrial Technology.

[42]  John Hannon,et al.  Recommending twitter users to follow using content and collaborative filtering approaches , 2010, RecSys '10.

[43]  Danica Damljanovic,et al.  Applying Semantic Web to E-Tourism , 2009, The Semantic Web for Knowledge and Data Management.

[44]  Bing Liu,et al.  Mining Comparative Sentences and Relations , 2006, AAAI.

[45]  Pedro M. Domingos,et al.  Learning to match ontologies on the Semantic Web , 2003, The VLDB Journal.

[46]  Satoshi Morinaga,et al.  Mining product reputations on the Web , 2002, KDD.

[47]  Ricardo Colomo Palacios,et al.  Sem-Fit: A semantic based expert system to provide recommendations in the tourism domain , 2011, Expert Syst. Appl..

[48]  S. Khoshafian.  Service Oriented Enterprises , 2006 .

[49]  Janyce Wiebe.  Identifying Subjective Characters in Narrative , 1990, COLING.

[50]  Maria Ruiz-Casado,et al.  Automatising the learning of lexical patterns: An application to the enrichment of WordNet by extracting semantic relationships from Wikipedia , 2007, Data Knowl. Eng..

[51]  Rosemary Stockdale,et al.  Managing customer relationships in the self-service environment of e-tourism , 2007 .

[52]  Janusz S. Bień,et al.  Beliefs, Points of View, and Multiple Environments , 1983, Cogn. Sci..

[53]  Janyce Wiebe,et al.  A Computational Theory of Perspective and Reference in Narrative , 1988, ACL.

[54]  Asunción Gómez-Pérez,et al.  Six challenges for the Semantic Web , 2002, KR 2002.

[55]  Ronny Kramer,et al.  Semantic Matching and Heuristic Search for a Dynamic Tour Guide , 2005, ENTER.

[56]  Henry Lieberman,et al.  A model of textual affect sensing using real-world knowledge , 2003, IUI '03.

[57]  Bing Liu,et al.  Identifying comparative sentences in text documents , 2006, SIGIR.

[58]  R. Law,et al.  Progress in information technology and tourism management: 20 years on and 10 years after the Internet - the state of eTourism research. , 2008 .

[59]  David M. Pennock,et al.  Mining the peanut gallery: opinion extraction and semantic classification of product reviews , 2003, WWW '03.

[60]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[61]  Michael Uschold,et al.  The Enterprise Ontology , 1998, The Knowledge Engineering Review.

[62]  Dimitrios Buhalis,et al.  Virtual Travel Community: Bridging Travellers and Locals , 2010 .

[63]  Peter D. Turney.  Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews , 2002, ACL.

[64]  J. Carbonell.  Subjective understanding, computer models of belief systems , 1981 .