SWI-Prolog and the web

Abstract

Prolog is an excellent tool for representing and manipulating data written in formal languages as well as natural language. Its safe semantics and automatic memory management make it a prime candidate for programming robust Web services.Where Prolog is commonly seen as a component in a Web application that is either embedded or communicates using a proprietary protocol, we propose an architecture where Prolog communicates to other components in a Web application using the standard HTTP protocol. By avoiding embedding in external Web servers development and deployment become much easier. To support this architecture, in addition to the transfer protocol, we must also support parsing, representing and generating the key Web document types such as HTML, XML and RDF. This paper motivates the design decisions in the libraries and extensions to Prolog for handling Web documents and protocols. The design has been guided by the requirement to handle large documents efficiently. The described libraries support a wide range of Web applications ranging from HTML and XML documents to Semantic Web RDF processing.The benefits of using Prolog for Web related tasks is illustrated using three case studies.

Towards knowledge modeling and manipulation technologies: A survey

“…The Lexicosyntactic Pattern Extraction (LSPE) method is one of the automated approaches used by lexicographers in developing domain-dependent knowledge base (Fellbaum, 1998 Using a W3C standard language SPARQL Protocol and RDF Query Language (SPARQL), WN data in RDF/OWL format can be queried (Brenga et al, 2015;Prud'Hommeaux & Seaborne, 2008). Typical queries can pose on WN RDF/OWL once it is loaded in tools such as SWI Prolog's Semantic Web Library (Wielemaker et al, 2008) or Sesame (Broekstra et al, 2003). Some WN-based word similarity algorithms have been implemented in a Perl package called WordNet::Similarity (Pedersen et al, 2004), Python package called NLTK (Bird, 2006) and Align, Disambiguate and Walk (ADW) in Java (Pilehvar & Navigli, 2015) .…”

Combining ship trajectories and semantics with the simple event model (SEM)

“…We define rules over these two sources of knowledge, that allow us high-level reasoning about the behavior of ships. These rules, movement predicates and ontology are all integrated in SWI-Prolog [17] using its Semantic Web libraries 19 and the spatial index that we have developed.…”

“…We describe a method to recognize meaningful events in this ship behavior data, and to model them as instances of SEM. We write rules in SWI-Prolog [17] that define the semantics of these events, and integrate them with GeoNames 2 concepts. We use the rules to classify the behavior of ships and derive new events, like ferry trips.…”

Thesaurus-Based Search in Large Heterogeneous Collections

“…We have realised the functionality described in the previous section on top of the SWI-Prolog 6 web and semantic web libraries [10,11]. This platform provides a scalable in-core RDF triple store [12] and a multi-threaded HTTP server library.…”

“…The K-Space European Network of Excellence is using ClioPatria to search news 10 . At the time of writing Europeana 11 is setting up ClioPatria as a demonstrator to provide multilingual access to a large collection of very divers cultural heritage data.…”