build query models using syntactic information such as subject-verb-objects and phrases. Our experimental results on two different collections show that syntactic query models are consistently more effective than purely statistical alternatives. 1

dependence. We find that query models using syntactic information such as subject-verb-object information and phrases result in query models that are more effective than statistical alternatives. 1

to the accuracy and currency of data. In this paper we describe an approach to computing provenance when the data of interest has been created by a database query.We adopt a syntactic approach and present results for a general data model that applies to relational databases as well as to hierarchical data

This paper reports on the TIGER Treebank, a corpus of currently 35.000 syntactically annotated German newspaper sentences. We describe what kind of information is encoded in the treebank and introduce the different representation formats that are used for the annotation and exploitation

of the evaluation of several fragments of the language. Among other complexity results, we show that the evaluation of general SPARQL patterns is PSPACE-complete. We identify a large class of SPARQL patterns, defined by imposing a simple and natural syntactic restriction, where the query evaluation problem can

In this paper, we argue for and demonstrate the use of Prolog as a tool to query annotated corpora. We present a case study based on the German TüBa-D/Z Treebank to show that flexible and efficient corpus querying can be started with a minimal amount of effort. We end this paper with a brief

the syntactic structure of the data, but also contextual semantics that are hard for machines to understand. To properly perform such data management tasks requires human inputs for providing information that is missing from the structured data that machines can read, for performing computationally difficult

This paper presents a system for querying treebanks. The system consists of a powerful query language with natural support for cross-layer queries, a client interface with a graphical query builder and visualizer of the results, a command-line client interface, and two substitutable query engines

superficial syntactic parser. Experimental results are encouraging; they show that the proposed system achieved a 52.91 % of F-measure and that it outperformed the standard baseline by 15 percentage points.

in documents and queries is completely ignored. It has been shown in a limited setting that some syntactic information can be useful to IR [1]. We intend to show that leveraging semantic features such as synonyms can improve precision and recall of query results, especially when used in conjunction