Query expansion based on conceptual and contextual term relationships in Wikipedia

  • The dramatic increase in information on the World Wide Web makes it more difficult for web users using web search engines to effectively satisfy their information needs. The users’ lack of knowledge regarding the searched topics creates a complicated problem when formulating an effective query. Query expansion can play an essential role in overcoming such a deficit. However, because they lack sufficient knowledge about the searched topics, users sometimes find it difficult to evaluate the relatedness of the system’s automatically expanded terms. This problem arises mostly in domain-specific areas, e.g. Social Science. In this paper, we expand the queries based on a structured, open knowledge resource on the Web (Wikipedia). We link the entities from a domain-specific corpus (qualitative journals in social science) to Wikipedia entities. With Wikipedia serving as background knowledge, we help users with their selections by providing the most likely related terms. Furthermore, users are provided with contextual information thatThe dramatic increase in information on the World Wide Web makes it more difficult for web users using web search engines to effectively satisfy their information needs. The users’ lack of knowledge regarding the searched topics creates a complicated problem when formulating an effective query. Query expansion can play an essential role in overcoming such a deficit. However, because they lack sufficient knowledge about the searched topics, users sometimes find it difficult to evaluate the relatedness of the system’s automatically expanded terms. This problem arises mostly in domain-specific areas, e.g. Social Science. In this paper, we expand the queries based on a structured, open knowledge resource on the Web (Wikipedia). We link the entities from a domain-specific corpus (qualitative journals in social science) to Wikipedia entities. With Wikipedia serving as background knowledge, we help users with their selections by providing the most likely related terms. Furthermore, users are provided with contextual information that describes each expanded term in order to give users a clearer idea about the meaning of each expanded term. By utilizing 10 test queries chosen by experts who also evaluated the results, we compared the results of using Wikipedia with the results achieved by using a qualitative journal.zeige mehrzeige weniger

Volltext Dateien herunterladen

Metadaten exportieren

Weitere Dienste

Teilen auf Twitter Suche bei Google Scholar
Metadaten
Verfasserangaben:Andias Wira-Alam, Farag Saad, Peter Mutschke
URN:urn:nbn:de:kobv:525-4208
Titel des übergeordneten Werkes (Deutsch):Informationswissenschaft zwischen virtueller Infrastruktur und materiellen Lebenswelten : Proceedings des 13. Internationalen Symposiums für Informationswissenschaft (ISI 2013), Potsdam, 19. bis 22. März 2013 / hrsg. von Hans-Christoph Hobohm. - Glückstadt: Hülsbusch, 2013. - 502 S. ISBN 978-3-86488-035-3
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Datum der Veröffentlichung (online):15.03.2013
Jahr der Erstveröffentlichung:2013
Veröffentlichende Institution:Fachhochschule Potsdam
Datum der Freischaltung:18.03.2013
GND-Schlagwort:Informationsüberlastung; Informationsbedarf; Information Retrieval; Effektivität; Suchverfahren; Bewertung
Fachbereiche und Zentrale Einrichtungen:Extern
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke / 020 Bibliotheks- und Informationswissenschaften
Sammlungen:Tagungen / Internationales Symposium für Informationswissenschaft (ISI) 2013 / ISI 2013, Einzelbeiträge
Lizenz (Deutsch):License LogoCC - Namensnennung-Nicht kommerziell-Keine Bearbeitung