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7.6.2. Basic Structure
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The PROTON ontology contains about 300 classes and 100 properties, providing coverage of the general concepts necessary for a wide range of tasks, including semantic annotation, indexing, and retrieval. The design principles can be summarized as follows (i) domain-independence; (ii) lightweight logical de nitions; (iii) alignment with popular metadata standards; (iv) good coverage of named entity types and concrete domains (i.e., modeling of concepts such as people, organizations, locations, numbers, dates, addresses, etc.). The ontology is encoded in a fragment of OWL Lite and split into four modules: System, Top, Upper, and Knowledge Management (KM). A snapshot of the PROTON class hierarchy is given in Figure 7.3, showing the Top and the Upper modules. PROTON is presented in greater detail in Terziev et al. (2004). The development of the ontology continues under a collaborative community process organized in accordance with the DILIGENT methodology, which is described in 9. In the following subsections, we provide an overview of its core module, its structure and some parts and design patterns more relevant to KM applications.
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ONTOLOGIES FOR KNOWLEDGE MANAGEMENT
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Figure 7.3 A view of the top part of the PROTON class hierarchy.
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7.6.3. Scope, Coverage, Compliance
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The extent of specialization of the ontology is partly determined on the basis of case studies within the scope of the SEKT project17 and on a survey of the entity types in a corpus of general news (including political,
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http://www.sekt-project.com/
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PROTON ONTOLOGY
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sports, and nancial ones). The distribution of the most commonly used entity types varies greatly across domains. Still, as reported in Maynard et al. (2003), there are several general entity types that appear in the large majority of corpora (text collections) Person, Location, Organization, Money (Amount) Date, etc. The proper representation and , positioning of those basic types was one of the objectives in the design of PROTON and this was accomplished, for the most part, at the level of PROTON Top module layer. The rationale behind PROTON is to provide a minimal, but nevertheless suf cient ontology, suitable for semantic annotation, as well as a conceptual basis for more general KM applications. Its predecessor KIMO was designed from scratch for use in the KIM system (http:// www.ontotext.com/kim/), which is described in s 3 and X; a number of upper-level resources inspired its creation and development: OpenCyc (http://www.opencyc.org), Wordnet (http://www.cogsci. princeton.edu/$wn/), DOLCE (http://www.loa-cnr.it/DOLCE.html), EuroWordnet Top (Peters, 1998), and others. One of the objectives in the development of PROTON has been to make it compliant with Dublin Core, the ACE annotation types,18 and the ADL Feature Type Thesaurus.19 This means that although these are not directly imported (for consistency reasons), a formal mapping of the appropriate classes and primitives is straightforward, on the basis of (i) compliant design and (ii) formal notes in the PROTON glosses, which indicate the appropriate mappings. For instance, in PROTON, a hasContributor property is de ned, with a domain InformationResource and a range Agent, as an equivalent of the dc:contributor element in Dublin Core. The development philosophy of PROTON is to make it compliant, in the future, with other popular standards and ontologies, such as FOAF.20
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The Automatic Content Extraction (ACE) is one of the most in uential Information Extraction programs, see http://www.itl.nist.gov/iad/894.01/tests/ace/. A set of entity types is de ned within The ACE 2003 Evaluation Plan (ftp://jaguar.ncsl.nist.gov/ace/ doc/ace_evalplan-2003.v1.pdf). These are: Person, Organization, GPE (a Geo-Political Entity), Location, Facility. 19 Alexandria Digital Library (ADL) is a project at the University of California, Santa Barbara, http://www.alexandria.ucsb.edu/. The Feature Type Thesaurus (FTT) can be found at. http://www.alexandria.ucsb.edu/gazetteer/FeatureTypes/ver070302/ index.htm. The Location branch of PROTON contains about 80 classes aligned with the FTT, which in its turn is aligned with the geographic feature designators of the GNS database of National Imagery and Mapping Agency of United States, (NIMA) at http:// earth-info.nga.mil/gns/html/. More details on the alignment are provided in Manov et al. (2003). 20 The Friend of a Friend (FOAF) project is about creating a Web of machine-readable homepages describing people, the links between them and the things they create and do. See http://www.foaf-project.org/
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