SPARQL queries have become the standard for querying linked open data knowledge bases, but SPARQL query construction can be challenging and timeconsuming even for experts. SPARQL query generation from natural language questions is an attractive modality for interfacing with LOD. However, how to evaluate SPARQL query generation from natural language questions is a mostly open research question. ...

Decentralized XML databases are often used in Electronic Commerce (EC) business models such as e-brokers on the Web. To flexibly model such applications, we need a modeling language for EC business processes. To this end, we have adopted a query language approach and have designed a query language, called XBML, for decentralized XML databases used in EC businesses. In this paper, we explain and...

Classical Information Retrieval (IR) is the sifting out of the documents most relevant to a user’s information requirement (expressed as a “query”), from a large electronic store of documents. A search engine performs IR by retrieving relevant web pages from the internet. Rather than regarding foreign-language documents simply as unwanted “noise”, Cross Language Information Retrieval allows the...

The SWIP system aims at hiding the complexity of expressing a query in a graph query language such as SPARQL. We propose a mechanism by which a query expressed in natural language is translated into a SPARQL query. Our system analyses the sentence in order to exhibit concepts, instances and relations. Then it generates a query in an internal format called the pivot language. Finally, it selects...

Data mining is the discovery of knowledge and useful information from the large amounts of data stored in databases. The emerging data mining tools and systems lead to the demand of a powerful data mining query language. The concepts of such a language for relational databases are discussed in [11]. With the increasing popularity of object-oriented databases, it is important to design a data mi...

We present the design and implementation of a Meaning Driven Data Query Language MDDQL which aims at the construction of queries through system made suggestions of natural language based query terms for both scientific application domain terms and operator/operation ones. A query construction blackboard is used where query language terms are suggested to the user in its preferred natural langua...

In this paper we examine opportunities arising from the convergence of two trends in data management: in-memory database systems (IMDBs), which have received renewed attention following the availability of affordable, very large main memory systems; and language-integrated query, which transparently integrates database queries with programming languages (thus addressing the famous ‘impedance mi...

RDF Query Language proposals are more numerous than fish in the sea1, it seems. However, the most prominent proposals out there are query languages that were conceived as first generation tryouts of RDF querying, with little or no RDF-specific implementation and use experience to guide design, and based on an ever-changing set of syntactical and semantic specifications. In this position paper, ...

This paper presents the main features of a Multimedia Query Language tailored for content-based similarity retrieval of multimedia objects. The Query Language processor is a component of a multimedia database system that adopts a model that permits both a structural representation of raw multimedia data and an automatically computed description of the multimedia data content. The Query Language...

We proposed in [7] a nested relational calculus and a nested relational algebra based on structural recursion [6,5] and on monads [27,16]. In this report, we describe relative set abstraction as our third nested relational query language. This query language is similar to the well known list comprehension mechanism in functional programming languages such as Haskell [ll], Miranda [24], KRC [23]...