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In this talk, we face the research question of how to allow for semantic-aware query and docu-ment understanding, especially in the cross-lingual setting, by exploiting knowledge in KBs. With the goal of addressing this complex problem, we provide several contributions: (1) we present techniques of semantic annotation for bridging the semantic gaps between Web documents and knowledge; (2) we present techniques of semantic search for bridging the semantic gaps between keyword queries and knowledge; (3) we exploit cross-lingual semantics to overcome the language barriers between natural language text (i.e., keyword queries and Web documents) and knowledge for enabling cross-lingual semantic annotation and search; and (4) based on the semantic repre-sentations of keyword queries and Web documents achieved by the previous contributions, we demonstrate a novel system for entity-based multilingual and cross-lingual information retrieval.
 
In this talk, we face the research question of how to allow for semantic-aware query and docu-ment understanding, especially in the cross-lingual setting, by exploiting knowledge in KBs. With the goal of addressing this complex problem, we provide several contributions: (1) we present techniques of semantic annotation for bridging the semantic gaps between Web documents and knowledge; (2) we present techniques of semantic search for bridging the semantic gaps between keyword queries and knowledge; (3) we exploit cross-lingual semantics to overcome the language barriers between natural language text (i.e., keyword queries and Web documents) and knowledge for enabling cross-lingual semantic annotation and search; and (4) based on the semantic repre-sentations of keyword queries and Web documents achieved by the previous contributions, we demonstrate a novel system for entity-based multilingual and cross-lingual information retrieval.
 
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|Beschreibung EN=Within the context of globalization, multilingual and cross-lingual access to information has emerged as an issue of major interest. In order to achieve the goal that users from all countries have access to the same information, there is an impending need for systems that can help in overcoming language barriers and facilitate multilingual and cross-lingual information access. In addition, the ever-increasing quantities of entities in large knowledge bases (KBs), such as Wikipe-dia, DBpedia, Freebase and YAGO, pose new challenges but at the same time open up new op-portunities of intelligent information access, where the large knowledge bases have become valu-able resources for bridging the gap between natural language text and knowledge.
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In this talk, we face the research question of how to allow for semantic-aware query and docu-ment understanding, especially in the cross-lingual setting, by exploiting knowledge in KBs. With the goal of addressing this complex problem, we provide several contributions: (1) we present techniques of semantic annotation for bridging the semantic gaps between Web documents and knowledge; (2) we present techniques of semantic search for bridging the semantic gaps between keyword queries and knowledge; (3) we exploit cross-lingual semantics to overcome the language barriers between natural language text (i.e., keyword queries and Web documents) and knowledge for enabling cross-lingual semantic annotation and search; and (4) based on the semantic repre-sentations of keyword queries and Web documents achieved by the previous contributions, we demonstrate a novel system for entity-based multilingual and cross-lingual information retrieval.
 
|Veranstaltungsart=Graduiertenkolloquium
 
|Veranstaltungsart=Graduiertenkolloquium
 
|Start=2016/07/22 14:00:00
 
|Start=2016/07/22 14:00:00

Version vom 2. Juli 2016, 00:40 Uhr

Semantic Annotation and Search: Bridging the Gap between Text, Knowledge and Language

Veranstaltungsart:
Graduiertenkolloquium




Within the context of globalization, multilingual and cross-lingual access to information has emerged as an issue of major interest. In order to achieve the goal that users from all countries have access to the same information, there is an impending need for systems that can help in overcoming language barriers and facilitate multilingual and cross-lingual information access. In addition, the ever-increasing quantities of entities in large knowledge bases (KBs), such as Wikipe-dia, DBpedia, Freebase and YAGO, pose new challenges but at the same time open up new op-portunities of intelligent information access, where the large knowledge bases have become valu-able resources for bridging the gap between natural language text and knowledge.

In this talk, we face the research question of how to allow for semantic-aware query and docu-ment understanding, especially in the cross-lingual setting, by exploiting knowledge in KBs. With the goal of addressing this complex problem, we provide several contributions: (1) we present techniques of semantic annotation for bridging the semantic gaps between Web documents and knowledge; (2) we present techniques of semantic search for bridging the semantic gaps between keyword queries and knowledge; (3) we exploit cross-lingual semantics to overcome the language barriers between natural language text (i.e., keyword queries and Web documents) and knowledge for enabling cross-lingual semantic annotation and search; and (4) based on the semantic repre-sentations of keyword queries and Web documents achieved by the previous contributions, we demonstrate a novel system for entity-based multilingual and cross-lingual information retrieval.

(Lei Zhang)




Start: 22. Juli 2016 um 14:00
Ende: 22. Juli 2016 um 15:00


Im Gebäude 11.40, Raum: 231

Veranstaltung vormerken: (iCal)


Veranstalter: Forschungsgruppe(n) Web Science und Wissensmanagement
Information: Media:Zhang 22-07-2016.pdf