Matches in ScholarlyData for { ?s ?p The increasing amount of data on the Web bears potential for addressing complex information needs more effectively. Instead of keyword search and browsing along links between results, users can specify the needs in terms of complex queries and obtain precise answers right away. However, users might not always know the query language and more importantly, the underlying schema. Motivated by the burden facing the data Web search users in specifying complex information needs, we identify a particular class of search approaches that we refer to as the schema-agnostic paradigm. Common to these search approaches is that no knowledge about the schema is required to specify complex information needs. We have conducted a systematic study of four popular approaches: (1) simple keyword search, (2) answer completion, which is based on computing complex answers as candidate results for user provided keywords, (3) query completion, which is based on computing structured queries as candidate interpretations of user provided keywords and (4) faceted search. We study these approaches from a process-oriented view to derive the main conceptual steps required for addressing complex information needs. Then, an experimental study is perform based on established conduct of a task-based evaluation. We derive main conclusions from the studies, as well as directions for future research.. }
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- 44 abstract "The increasing amount of data on the Web bears potential for addressing complex information needs more effectively. Instead of keyword search and browsing along links between results, users can specify the needs in terms of complex queries and obtain precise answers right away. However, users might not always know the query language and more importantly, the underlying schema. Motivated by the burden facing the data Web search users in specifying complex information needs, we identify a particular class of search approaches that we refer to as the schema-agnostic paradigm. Common to these search approaches is that no knowledge about the schema is required to specify complex information needs. We have conducted a systematic study of four popular approaches: (1) simple keyword search, (2) answer completion, which is based on computing complex answers as candidate results for user provided keywords, (3) query completion, which is based on computing structured queries as candidate interpretations of user provided keywords and (4) faceted search. We study these approaches from a process-oriented view to derive the main conceptual steps required for addressing complex information needs. Then, an experimental study is perform based on established conduct of a task-based evaluation. We derive main conclusions from the studies, as well as directions for future research.".