Representing Swedish Lexical Resources in RDF with lemon Lars Borin1 and Dana Dannélls1 and Markus Forsberg1 and John P. McCrae2 1 Språkbanken, University of Gothenburg {lars.borin, dana.dannells, markus.forsberg}@svenska.gu.se 2 Cognitive Interaction Technology Center of Excellence, University of Bielefeld jmccrae@cit-ec.uni-bielefeld.de Abstract. The paper presents an ongoing project which aims to publish Swedish lexical-semantic resources using Semantic Web and Linked Data technologies. In this article, we highlight the practical conversion methods and challenges of converting three of the Swedish language resources in RDF with lemon. Keywords: Language Technology, Lexical Resources, Lexical Semantics. 1 Introduction For state-of-the-art lexical resources, availability as Linked Open Data (LOD) is a ba- sic requirement for their widest possible dissemination and use in research, education, development of products and services. In addition, in order to provide language sup- port to individuals requiring augmentative and alternative communication (AAC) we need linguistic resources suitably organized and represented, e.g., sign language mate- rial, symbol and image libraries adapted to multiple cognitive levels, as well as textual support in many languages. So far, in Sweden, these resources have been developed as separate and uncoordinated efforts, either commercially or by non-profit organizations targeting specific groups and needs. In the long run, this is an exclusive and expensive way of proceeding, leading to limited usefulness. In the project, we aim to link Con- cept Coding Framework (CCF) technology and some symbol sets, to a common LOD format for languages resources (LRs) to be developed together with Språkbanken (The Swedish Language Bank),3 which will be a great step forward. There are ongoing international initiatives aiming to define suitable formats for publishing linguistic content according to linked open data principles [1]. Integrating linguistic content on the Web by using these principles is central for many language technology applications. It requires harmonization on different levels in particular on the metadata level. In this paper we present our first attempt to publish three Swedish lexical-semantic resources in RDF with lemon [2]. 3 2 2 lemon lemon (Lexicon Model for Ontologies) is a model for associating linguistic information with ontologies,4 in particular Semantic Web ontologies. The model builds on exist- ing models for incorporating multilingual knowledge in ontologies, and for the rep- resentation of lexical resources [3]. lemon is built around the principal of semantics by reference [4]. It separates the lexical layer, that is the words and their morphology and syntactic behaviour, and the semantic layer in the ontology, which describes the domain-specific meaning of that entry. The model of lemon is based around lexical entries, which connect to ontology entities, by means of an object called LexicalSense, which refers to one meaning of a word, or correspondingly a pair consisting of the word and the meaning. In this sense, the model of lemon is primarily semasiological, i.e, or- ganized around words, as opposed to the onomasiological resources, such as SALDO, which are primarily built around senses. However, the usage of the sense object and the distributed nature of the RDF graph model, means that from a linked data viewpoint this distinction is of less relevance, and lemon proves to be an effective model for the lexical resources discussed here. The lemon model has since 2011 been the focus of the W3C OntoLex community group,5 and as such significant developments on both the model and its applications are still active. In particular, lemon has already been used successfully for the repre- sentation of several existing lexical resources, most notably WordNet [5], UBY [6] and BabelNet [7]. Furthermore, the use of lemon has already proved to be a key component in systems for tasks such as question answering [8], natural language generation [9] and information extraction [10]. 3 Converting the Swedish Lexical Resources into RDF with lemon Språkbanken at the Department of Swedish, University of Gothenburg, Sweden main- tains a very large collection of lexical resources for both modern and historical Swedish. Currently there exist 23 different lexical resources with over 700,000 lexical entries. Within the time frame of our project we so far considered three of the modern lexicons, which are also freely available in Lexical Markup Framework (LMF) [11]. As we will show in this chapter, the form of these lexical resources varies substantially. We mini- mize this variation with lemon. Since lemon is builds on LMF, it allows easy conversion supported by EXtensible Stylesheet Language XSL Transformation mechanism.6 SALDO, the new version of the Swedish Associative Thesaurus [12], is a semanti- cally organized lexicon containing morphological and lexical-semantic information for more than 130,000 Swedish lexical entries of which 13,000 are verbs.7 It is the largest freely available electronic Swedish lexical resource for language technology, and is the pivot of all the Swedish lexical resources maintained at Språkbanken. SALDO entries 4 5 6 7 3 are arranged in a hierarchical structure capturing semantic closeness between senses indicated by a unique sense identifier, in lemon this unique identifier is represented with the object lemon:LexicalSense. A challenge here was how to represent SALDO’s lemgram which is a pairing of the word base form and its inflectional paradigm. Lem- gram is represented with the object lemon:LexicalEntry. The base form is described with a lemma value of the lexical entry and is represented with the object lemon:Form. The inflectional paradigm is described with a form value combined with a digit, and is also represented with the object lemon:Form. We defined our objects for capturing the paradigm patterns and the morphosyntactic tags. Swedish FrameNet (SweFN), created as a part of a large project called SweFN++ [13], is a lexical-semantic resource that has been expanded from and constructed in line with Berkeley FrameNet (BFN) [14].8 It is defined in terms of semantic frames. Each frame is unique and is evoked by one or more target word(s) called lexical unit (LU) which car- ries valence information about the possible syntactic and semantic realizations of frame elements (FEs). Frames are represented with the object lemon:LexicalSense. The LUs evoked by a frame are linked to SALDO entities with the property lemon:isSenseOf. The property lemon:SemArg links to FEs objects. There are two types of FEs: core and peripheral, these are represented with the object lemon:Argument and are linked to either uby:core or uby:peripheral with the property uby:coreType. A challenge here was how to represent the syntactic and semantic realizations of FEs that are illustrated with annotated example sentences. In the LMF file they are annotated with extra, non- standardized tags. Our solution was to define our object karpHash:example to represent the annotated example sentences for each FE. Lexin is a bilingual dictionary,9 originally developed for immigrants by the Swedish national agency for education.10 It contains detailed linguistic information for 15 lan- guages including sentence and expression examples, sentence constructions, explana- tions through comments, synonyms, etc. A lexical entry in Lexin is represented with lemon:LexicalSense. Entries are linked to SALDO entries with owl:sameAs property. In addition, we defined the objects spraakbanken:translation and spraakbanken:synonym to represent translation equivalents of sentences in our RDF model. 4 Summary We described the effort of transforming three Swedish lexical resources into LOD us- ing Semantic Web and Linked Data technologies.11 Deciding on how to transform the lexical resource attributes to lemon features has been carried out manually for each re- source. Once the transformation is decided, the integration is conducted automatically. Publishing lexical resources in Swedish as RDF data is valuable for a variety of use cases. One of the many benefits of having this semantically interlinked content is to 8 9 10 11 The published resources can be accessed here: 4 enhance accessibility and availability on the web, in particular for language technology applications. Acknowledgements The research presented here has been conducted with funding by VINNOVA (Swedish Governmental Agency for Innovation Systems; grant agreement 2013-04996), and by the University of Gothenburg through its support of the Centre for Language Technol- ogy.12 References 1. Chiarcos, C., Nordhoff, S., Hellmann, S., eds.: Linked Data in Linguistics. Representing and Connecting Language Data and Language Metadata. Springer (2012) 2. McCrae, J., Spohr, D., Cimiano, P.: Linking lexical resources and ontologies on the semantic web with lemon. In: The Semantic Web: Research and Applications. (2011) 245–259 3. 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