The Path is the Destination - Enabling a New Search Paradigm with Linked Data

Today, searching the World Wide Web in most cases turns out in looking for a specific item, which means that the user should know the item in advance. In the future internet, searching for infor- mation comes closer to the notion of 'window shopping' by means of exploratory and semantic search technologies. In the course of the ex- ploratory search process the user constantly receives new information and establishes a personalized knowledge base. To make this possible, se- mantic search technologies utilize domain knowledge and semantic data, as e.g., Linked Open Data (LOD), to expand and refine search results, to derive cross-references, and to reveal implicitly hidden semantic rela- tions. Implementing semantic exploratory search requires various issues have to be solved including mapping text to semantic entities, detecting and cleaning inconsistencies in available LOD, ranking algorithms for se- mantic data and heuristics for recommendations, as well as appropriate visualizations of complex semantic relationships. This paper describes how LOD can be utilized to enable exploratory search systems for the future internet.

[1]  Paola Velardi,et al.  Structural semantic interconnections: a knowledge-based approach to word sense disambiguation , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Dan Roth,et al.  Semantic Integration in Text: From Ambiguous Names to Identifiable Entities , 2005, AI Mag..

[3]  Razvan C. Bunescu,et al.  Using Encyclopedic Knowledge for Named entity Disambiguation , 2006, EACL.

[4]  Gary Marchionini,et al.  Exploratory search , 2006, Commun. ACM.

[5]  Eyal Oren,et al.  Sindice.com: Weaving the Open Linked Data , 2007, ISWC/ASWC.

[6]  Fabian M. Suchanek,et al.  Yago: A Core of Semantic Knowledge Unifying WordNet and Wikipedia , 2007 .

[7]  Moritz Stefaner,et al.  Elastic Lists for Facet Browsing and Resource Analysis in the Enterprise , 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

[8]  Christian Bizer,et al.  The Berlin SPARQL Benchmark , 2009, Int. J. Semantic Web Inf. Syst..

[9]  Xiaofang Zhou,et al.  A Term-Based Driven Clustering Approach for Name Disambiguation , 2009, APWeb/WAIM.

[10]  Ryen W. White,et al.  Exploratory Search: Beyond the Query-Response Paradigm , 2009, Exploratory Search: Beyond the Query-Response Paradigm.

[11]  Harald Sack,et al.  Augmenting Video Search with Linked Open Data , 2009, I-SEMANTICS.

[12]  Harald Sack,et al.  Towards exploratory video search using linked data , 2009, 2009 11th IEEE International Symposium on Multimedia.

[13]  Deborah L. McGuinness,et al.  SameAs Networks and Beyond: Analyzing Deployment Status and Implications of owl: sameAs in Linked Data , 2010, International Semantic Web Conference.

[14]  Andreas Harth,et al.  Weaving the Pedantic Web , 2010, LDOW.