Krisztian Balog
Edgar Meij
Maarten de Rijke
ABSTRACT
We consider the task of entity search and examine to which extent state-of-art information retrieval (IR) and semantic web (SW) technologies are capable of answering information needs that focus on entities. We also explore the potential of combining IR with SW technologies to improve the end-to-end performance on a specific entity search task. We arrive at and motivate a proposal to combine text-based entity models with semantic information from the Linked Open Data cloud.
- }}K. Anyanwu, A. Maduko, and A. Sheth. Semrank: ranking complex relationship search results on the semantic web. In 14th Intern. Conf. on World Wide Web, 2005. Google Scholar
Digital Library
- }}S. Auer and J. Lehmann. What have Innsbruck and Leipzig in common? Extracting semantics from wiki content. In 4th European Conf. on The Semantic Web: Research and Applications, 2007. Google ScholarDigital Library
- }}S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. Ives. Dbpedia: A nucleus for a web of open data. In 6th Intern. Semantic Web Conf., 2nd Asian Semantic Web Conf. (ISWC+ASWC 2007), 2007. Google ScholarDigital Library
- }}K. Balog. People Search in the Enterprise. PhD thesis, University of Amsterdam, June 2008.Google Scholar
- }}K. Balog, A. P. de Vries, P. Serdyukov, P. Thomas, and T. Westerveld. Overview of the TREC 2009 entity track. In 18th Text REtrieval Conf., 2010.Google Scholar
- }}C. Bizer, R. Cyganiak, S. Auer, and G. Kobilarov. DBpedia--querying Wikipedia like a database. 16th Intern. Conf. on World Wide Web -- Developers track presentation, 2007.Google Scholar
- }}D. Carmel, H. Roitman, and N. Zwerdling. Enhancing cluster labeling using wikipedia. In SIGIR '09, 2009. Google ScholarDigital Library
- }}ClueWeb09. The ClueWeb09 dataset, 2009. URL: http://boston.lti.cs.cmu.edu/Data/clueweb09/.Google Scholar
- }}N. Craswell, A. De Vries, and I. Soboroff. Overview of the TREC-2005 Enterprise Track. In 14th Text REtrieval Conf. (TREC 2005), 2006.Google Scholar
- }}A. de Vries, A.-M. Vercoustre, J. A. Thom, N. Craswell, and M. Lalmas. Overview of the INEX 2007 entity ranking track. In Focused access to XML documents: 6th Intern. Workshop of the Initiative for the Evaluation of XML Retrieval, 2008. Google ScholarDigital Library
- }}E. W. Dijkstra. A note on two problems in connexion with graphs. Numerische Mathematik, 1959.Google Scholar
- }}D. Gruhl, M. Nagarajan, J. Pieper, C. Robson, and A. P. Sheth. Context and domain knowledge enhanced entity spotting in informal text. In Intern. Semantic Web Conf., 2009. Google ScholarDigital Library
- }}A. Harth, S. Kinsella, and S. Decker. Using naming authority to rank data and ontologies for web search. In Intern. Semantic Web Conf., 2009. Google ScholarDigital Library
- }}B. J. Jansen and A. Spink. How are we searching the world wide web? a comparison of nine search engine transaction logs. Inf. Processing & Management, 42(1):248--263, 2006. Google ScholarDigital Library
- }}Jena. ARQ - a SPARQL processor for Jena, 2010. URL: http://jena.sourceforge.net/ARQ/.Google Scholar
- }}S. Kulkarni and D. Caragea. Towards bridging the web and the semantic web. In Web Intelligence, 2009. Google ScholarDigital Library
- }}J. Lehmann, J. Schüppel, and S. Auer. Discovering unknown connections - the dbpedia relationship finder. In 1st SABRE Conf. on Social Semantic Web, 2007.Google Scholar
- }}C. Mangold. A survey and classification of semantic search approaches. Int. J. Metadata Semant. Ontologies, 2(1):23--34, 2007. Google ScholarDigital Library
- }}E. Meij, D. Trieschnigg, M. de Rijke, and W. Kraaij. Conceptual language models for domain-specific retrieval. Information Processing & Management, In Press. Google ScholarDigital Library
- }}E. J. Meij, M. Bron, B. Huurnink, L. Hollink, and M. de Rijke. Learning semantic query suggestions. In ISWC '09: 8th Intern. Conf. on The Semantic Web, 2009. Google ScholarDigital Library
- }}P. Mika, E. Meij, and H. Zaragoza. Investigating the semantic gap through query log analysis. In Intern. Semantic Web Conf., 2009. Google ScholarDigital Library
- }}D. Petkova and W. B. Croft. Proximity-based document representation for named entity retrieval. In CIKM '07, 2007. Google ScholarDigital Library
- }}H. Raghavan, J. Allan, and A. Mccallum. An exploration of entity models, collective classification and relation description. In ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD2004), 2004.Google Scholar
- }}F. M. Suchanek, G. Kasneci, and G. Weikum. Yago: a core of semantic knowledge. In 16th Intern. Conf. on World Wide Web, 2007. Google ScholarDigital Library
- }}E. Voorhees. Overview of the TREC 2004 question answering track. In 13th Text Retrieval Conf., 2005.Google Scholar
Index Terms
- Entity search: building bridges between two worlds
Recommendations
Entity-aware Transformers for Entity Search
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information RetrievalPre-trained language models such as BERT have been a key ingredient to achieve state-of-the-art results on a variety of tasks in natural language processing and, more recently, also in information retrieval. Recent research even claims that BERT is able ...
Entity centric query expansion for enterprise search
CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge managementEnterprise search is important, and the search quality has a direct impact on the productivity of an enterprise. Many information needs of enterprise search center around entities. Intuitively, information related to the entities mentioned in the query, ...
LaQuE: Enabling Entity Search at Scale
Advances in Information RetrievalAbstractEntity search plays a crucial role in various information access domains, where users seek information about specific entities. Despite significant research efforts to improve entity search methods, the availability of large-scale resources and ...
Comments