@inproceedings{ISWC2016,
  title={Are Names Meaningful? Quantifying Social Meaning on the Semantic Web},
  author={Steven de Rooij and Wouter Beek and Peter Bloem and 
          Frank van Harmelen, and Stefan Schlobach},
  booktitle={International Semantic Web Conference, ISWC 2016},
  pages={},
  year={2016},
  publisher={Springer Berlin Heidelberg},
  urlPaper = "http://www.cs.vu.nl/~frankh/postscript/ISWC2016.pdf",
  keywords = {Semantic Web},
  abstract = "According to its model-theoretic semantics, Semantic Web
IRIs are individual constants or predicate letters whose names are cho-
sen arbitrarily and carry no formal meaning. At the same time it is
a well-known aspect of Semantic Web pragmatics that IRIs are often
constructed mnemonically, in order to be meaningful to a human interpreter. 
The latter has traditionally been termed 'social meaning', a
concept that has been discussed but not yet quantitatively studied by
the Semantic Web community. In this paper we use measures of mutual 
information content and methods from statistical model learning to
quantify the meaning that is (at least) encoded in Semantic Web names.
We implement the approach and evaluate it over hundreds of thousands
of datasets in order to illustrate its efficacy. Our experiments confirm
that many Semantic Web names are indeed meaningful and, more interestingly, 
we provide a quantitative lower bound on how much meaning is
encoded in names on a per-dataset basis. To our knowledge, this is the
first paper about the interaction between social and formal meaning, as
well as the first paper that uses statistical model learning as a method to
quantify meaning in the Semantic Web context. These insights are useful
for the design of a new generation of Semantic Web tools that take such
social meaning into account."
}

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Quantifying Social Meaning on the Semantic Web","author":[{"firstnames":["Steven"],"propositions":["de"],"lastnames":["Rooij"],"suffixes":[]},{"firstnames":["Wouter"],"propositions":[],"lastnames":["Beek"],"suffixes":[]},{"firstnames":["Peter"],"propositions":[],"lastnames":["Bloem"],"suffixes":[]},{"propositions":["Frank","van"],"lastnames":["Harmelen"],"firstnames":[""],"suffixes":[]},{"firstnames":["Stefan"],"propositions":[],"lastnames":["Schlobach"],"suffixes":[]}],"booktitle":"International Semantic Web Conference, ISWC 2016","pages":"","year":"2016","publisher":"Springer Berlin Heidelberg","urlpaper":"http://www.cs.vu.nl/~frankh/postscript/ISWC2016.pdf","keywords":"Semantic Web","abstract":"According to its model-theoretic semantics, Semantic Web IRIs are individual constants or predicate letters whose names are cho- sen arbitrarily and carry no formal meaning. At the same time it is a well-known aspect of Semantic Web pragmatics that IRIs are often constructed mnemonically, in order to be meaningful to a human interpreter. The latter has traditionally been termed 'social meaning', a concept that has been discussed but not yet quantitatively studied by the Semantic Web community. In this paper we use measures of mutual information content and methods from statistical model learning to quantify the meaning that is (at least) encoded in Semantic Web names. We implement the approach and evaluate it over hundreds of thousands of datasets in order to illustrate its efficacy. Our experiments confirm that many Semantic Web names are indeed meaningful and, more interestingly, we provide a quantitative lower bound on how much meaning is encoded in names on a per-dataset basis. To our knowledge, this is the first paper about the interaction between social and formal meaning, as well as the first paper that uses statistical model learning as a method to quantify meaning in the Semantic Web context. These insights are useful for the design of a new generation of Semantic Web tools that take such social meaning into account.","bibtex":"@inproceedings{ISWC2016,\r\n title={Are Names Meaningful? Quantifying Social Meaning on the Semantic Web},\r\n author={Steven de Rooij and Wouter Beek and Peter Bloem and \r\n Frank van Harmelen, and Stefan Schlobach},\r\n booktitle={International Semantic Web Conference, ISWC 2016},\r\n pages={},\r\n year={2016},\r\n publisher={Springer Berlin Heidelberg},\r\n urlPaper = \"http://www.cs.vu.nl/~frankh/postscript/ISWC2016.pdf\",\r\n keywords = {Semantic Web},\r\n abstract = \"According to its model-theoretic semantics, Semantic Web\r\nIRIs are individual constants or predicate letters whose names are cho-\r\nsen arbitrarily and carry no formal meaning. At the same time it is\r\na well-known aspect of Semantic Web pragmatics that IRIs are often\r\nconstructed mnemonically, in order to be meaningful to a human interpreter. \r\nThe latter has traditionally been termed 'social meaning', a\r\nconcept that has been discussed but not yet quantitatively studied by\r\nthe Semantic Web community. In this paper we use measures of mutual \r\ninformation content and methods from statistical model learning to\r\nquantify the meaning that is (at least) encoded in Semantic Web names.\r\nWe implement the approach and evaluate it over hundreds of thousands\r\nof datasets in order to illustrate its efficacy. Our experiments confirm\r\nthat many Semantic Web names are indeed meaningful and, more interestingly, \r\nwe provide a quantitative lower bound on how much meaning is\r\nencoded in names on a per-dataset basis. To our knowledge, this is the\r\nfirst paper about the interaction between social and formal meaning, as\r\nwell as the first paper that uses statistical model learning as a method to\r\nquantify meaning in the Semantic Web context. These insights are useful\r\nfor the design of a new generation of Semantic Web tools that take such\r\nsocial meaning into account.\"\r\n}\r\n\r\n","author_short":["de Rooij, S.","Beek, W.","Bloem, P.","Frank van Harmelen, undefined","Schlobach, S."],"key":"ISWC2016","id":"ISWC2016","bibbaseid":"derooij-beek-bloem-frankvanharmelen-schlobach-arenamesmeaningfulquantifyingsocialmeaningonthesemanticweb-2016","role":"author","urls":{"Paper":"http://www.cs.vu.nl/~frankh/postscript/ISWC2016.pdf"},"keyword":["Semantic Web"],"metadata":{"authorlinks":{}},"downloads":0,"html":""},"bibtype":"inproceedings","biburl":"http://www.cs.vu.nl/~frankh/abstracts/all.bib","dataSources":["9CnmDh6oPMNTwHksm"],"keywords":["semantic web"],"search_terms":["names","meaningful","quantifying","social","meaning","semantic","web","de rooij","beek","bloem","frank van harmelen","schlobach"],"title":"Are Names Meaningful? Quantifying Social Meaning on the Semantic Web","year":2016}